diff --git a/.Rbuildignore b/.Rbuildignore
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--- /dev/null
+++ b/.Rbuildignore
@@ -0,0 +1,6 @@
+^ShinyApp$
+^output_data$
+^figs$
+^LICENSE\.md$
+^\.vscode$
+^inst/extdata/ProtectedAreas$
diff --git a/.gitignore b/.gitignore
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--- /dev/null
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+output_data
+.vscode
+NOTES.md
\ No newline at end of file
diff --git a/Analysis/.Rhistory b/Analysis/.Rhistory
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-axis.ticks = element_blank(),
-legend.title=element_text(hjust = 0.5))
-ggplot(data)+
-geom_tile(aes(x=pressure, y=response, fill=value),
-color="grey")+
-scale_fill_gradient(name="studies",low = "white", high = "grey25", breaks=c(1,3,5))+
-scale_y_discrete(limits=rev)+
-scale_x_discrete(position = "top") +
-guides(fill = guide_colorsteps(title.position = "top"))+
-# coord_fixed()+
-theme_minimal()+
-theme(axis.title = element_blank(),
-axis.text.x = element_text(angle = 90, hjust=0, vjust=0.5),
-legend.position = "bottom",
-axis.ticks = element_blank(),
-legend.title=element_text(hjust = 0.5))
-ggplot(data)+
-geom_tile(aes(x=pressure, y=response, fill=value),
-color="grey")+
-scale_fill_gradient(name="studies",low = "white", high = "grey25", breaks=c(1,3,5))+
-scale_y_discrete(limits=rev)+
-scale_x_discrete(position = "top") +
-guides(fill = guide_colorsteps(title.position = "top"))+
-# coord_fixed()+
-theme_minimal()+
-theme(axis.title = element_blank(),
-axis.text.x = element_text(angle = 90, hjust=0, vjust=0.3),
-legend.position = "bottom",
-axis.ticks = element_blank(),
-legend.title=element_text(hjust = 0.5))
-?runif
-P = runif(1000,0.1, 3)
-Hp = runif(1000, 0.01, 1)
-R = P/Hp
-Rlog = log(P/Hp)
-plot(R~Rlog)
-plot(Rlog~Hp)
-plot(Hp~Rlog)
-require(terra)
-require(tidyverse)
-require(GGally)
-require(readxl)
-#AES Roads and Rail density and crossing
-AES_road = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\CSAS_Update_20220922.xlsx", sheet ="ES_MainStats")
-#LGL Roads and Rail density and crossing
-LGL_road = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\CSAS_Update_20220922.xlsx", sheet ="LGL_MainStats")
-#AES Roads and Rail density and crossing
-AES_road = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\CSAS_Update_20220922.xlsx", sheet ="ES_MainStats")
-#LGL Roads and Rail density and crossing
-LGL_road = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\CSAS_Update_20220922.xlsx", sheet ="LGL_MainStats")
-newtheme <- theme_classic()+
-theme(axis.title = element_blank(), axis.line  = element_line(color="black"),
-axis.ticks = element_line(color="black"), axis.text = element_text(face="bold"),
-axis.line.y = element_blank(),
-axis.ticks.y =element_blank(),
-axis.text.y = element_blank(),
-panel.background = element_rect(fill = "transparent", colour = NA),
-plot.background = element_rect(fill = "white", colour = "black") )
-AES_roads
-require(terra)
-require(tidyverse)
-require(GGally)
-require(readxl)
-#LGL Roads and Rail density and crossing
-LGL_road = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\CSAS_Update_20220922.xlsx", sheet ="LGL_MainStats")
-#AES Roads and Rail density and crossing
-AES_road = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\CSAS_Update_20220922.xlsx", sheet ="ES_MainStats")
-newtheme <- theme_classic()+
-theme(axis.title = element_blank(), axis.line  = element_line(color="black"),
-axis.ticks = element_line(color="black"), axis.text = element_text(face="bold"),
-axis.line.y = element_blank(),
-axis.ticks.y =element_blank(),
-axis.text.y = element_blank(),
-panel.background = element_rect(fill = "transparent", colour = NA),
-plot.background = element_rect(fill = "white", colour = "black") )
-AES_roads
-AES_road
-AES_road$ALL_CROSSINGS
-AES_road = AES_road %>% mutate(crossing_dens = ALL_CROSSINGS/STREAMS_KM)
-ggplot(AES_road)+
-geom_histogram(aes(x=crossing_dens), bins=20, fill="grey30")+
-ylab("assessment units")+
-newtheme
-AES_road = AES_road %>% mutate(crossing_dens = (ALL_CROSSINGS*10)/STREAMS_KM)
-ggplot(AES_road)+
-geom_histogram(aes(x=crossing_dens), bins=20, fill="grey30")+
-ylab("assessment units")+
-newtheme
-ggplot(LGL_road)+
-geom_histogram(aes(x=crossing_dens), bins=20, fill="grey30")+
-ylab("assessment units")+
-newtheme
-LGL_road = LGL_road %>% mutate(crossing_dens = (ALL_CROSSINGS*10)/STREAMS_KM)
-ggplot(LGL_road)+
-geom_histogram(aes(x=crossing_dens), bins=20, fill="grey30")+
-ylab("assessment units")+
-newtheme
-LGL_road$ALL_CROSSINGS
-LGL_road$STREAMS_KM
-range(AES_road$crossing_dens)
-median(AES_road$crossing_dens)
-range(LGL_road$crossing_dens)
-range(LGL_road$crossing_dens, na.rm = T)
-median(AES_road$crossing_dens, na.rm = T)
-median(LGL_road$crossing_dens, na.rm = T)
-quantile(LGL_road$crossing_dens, na.rm = T)
-range(AES_road$crossing_dens)
-median(AES_road$crossing_dens)
-quantile(AES_road$crossing_dens)
-#FFHPP Land use summaries
-LGLlanduse = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\LandUseSummaries_SOF.xlsx", sheet ="LGL Sentinel 2021" )
-#FFHPP Land use summaries
-ESlanduse = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\LandUseSummaries_SOF.xlsx", sheet ="ES Sentinel 2021" )
-#LGL land use summary update for two AUs
-LGL_LU_update = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\LGL_LandUseUpdates.xlsx", sheet ="Sheet1" )
-######LGL Riparian Buffer
-names(LGLlanduse)[3:6]<-c("WatershedArea_m2", "BufferArea_m2","WatershedArea_km2","BufferArea_km2")
-LGLlanduse = LGLlanduse %>% select(UNIQUE_UNIT, TYPE, BufferArea_km2)
-LGLlanduse = LGLlanduse %>% filter(!UNIQUE_UNIT %in% c("029C-02", "LO12"))
-LGL_LU_update = LGL_LU_update %>% select(UNIQUE_UNIT, TYPE, "Buffer (sqkm)")
-names(LGL_LU_update)<-names(LGLlanduse)
-LGLlanduse <- bind_rows(LGLlanduse, LGL_LU_update)
-LGLlanduse = LGLlanduse %>% filter(TYPE!="Clouds") %>% filter(TYPE!="Water") %>%
-mutate(disturbed = ifelse(TYPE %in% c("Built Area", "Crops"), "Yes", "No"))
-tmp = LGLlanduse %>% group_by(UNIQUE_UNIT) %>% summarize(total_buffer = sum(BufferArea_km2, na.rm = T)) %>% arrange(UNIQUE_UNIT)
-tmp2 = LGLlanduse %>% arrange(UNIQUE_UNIT) %>% group_by(UNIQUE_UNIT) %>%
-summarize(total_disturbed = sum(BufferArea_km2[disturbed =="Yes"]),
-total_undisturbed= sum(BufferArea_km2[disturbed == "No"]))
-tmp3 = left_join(tmp,tmp2, by="UNIQUE_UNIT") %>%
-mutate(prop_buffer_disturbed = total_disturbed/total_buffer,
-prop_buffer_natural = total_undisturbed/total_buffer)
-ggplot(tmp3)+
-geom_histogram(aes(x=as.numeric(prop_buffer_natural)*100), bins=20, fill="grey30")+
-ylab("assessment units")+
-newtheme
-ggplot(tmp3)+
-geom_histogram(aes(x=prop_buffer_natural*100), bins=20, fill="grey30")+
-ylab("assessment units")+
-newtheme
-range(tmp3$prop_buffer_natural)
-quantile(tmp3$prop_buffer_natural)
-?quantile
-length(which(tmp3$prop_buffer_natural>0.75))/195
-length(which(tmp3$prop_buffer_natural<0.25))/195
-######AES Riparian Buffer
-names(ESlanduse)[3:6]<-c("WatershedArea_m2", "BufferArea_m2","WatershedArea_km2","BufferArea_km2")
-ESlanduse = ESlanduse %>% select(HUC_8, TYPE, BufferArea_km2)
-ESlanduse = ESlanduse %>% filter(TYPE!="Clouds") %>% filter(TYPE!="Water") %>%
-mutate(disturbed = ifelse(TYPE %in% c("Built Area", "Crops"), "Yes", "No"))
-etmp = ESlanduse %>% group_by(HUC_8) %>%
-summarize(total_buffer = sum(BufferArea_km2, na.rm = T)) %>%
-arrange(HUC_8)
-etmp2 = ESlanduse %>% arrange(HUC_8) %>% group_by(HUC_8) %>%
-summarize(total_disturbed = sum(BufferArea_km2[disturbed =="Yes"]),
-total_undisturbed= sum(BufferArea_km2[disturbed == "No"]))
-etmp3 = left_join(etmp,etmp2, by="HUC_8") %>%
-mutate(prop_buffer_disturbed = total_disturbed/total_buffer,
-prop_buffer_natural = total_undisturbed/total_buffer)
-range(etmp3$prop_buffer_natural)
-quantile(etmp3$prop_buffer_natural)
-length(which(etmp3$prop_buffer_natural>0.75))/195
-length(which(etmp3$prop_buffer_natural>0.75))/107
-#QWS summary data for LGL
-LGL_AU = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\CSAS_Update_20220922.xlsx",
-sheet ="LGL_MainStats" )
-require(tidyverse)
-require(readxl)
-require(scales)
-#QWS summary data for LGL
-LGL_AU = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\CSAS_Update_20220922.xlsx",
-sheet ="LGL_MainStats" )
-#HUC8 summary data for AES
-AES_AU = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\CSAS_Update_20220922.xlsx",
-sheet ="ES_MainStats" )
-#LGL_Biodiversity and PAs
-LGL_Biod_PA = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Summaryofupdatestometrics_Sep182022.xlsx",
-sheet ="LGLA_AUmetrics" )
-#LGL temp data
-LGL_temp = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Summaryofupdatestometrics_Sep182022.xlsx",
-sheet ="LGLA_Tempsitedata" )
-#AES Biodiversity and PAs
-AES_Biod_PA = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Summaryofupdatestometrics_Sep182022.xlsx",
-sheet ="AESA_HUCmetrics" )
-#AES barrier data CABD
-AES_CABD = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Summaryofupdatestometrics_Sep182022.xlsx",
-sheet ="AESA_damwffwaydata" )
-#LGL Rip Buffer
-LGL_Rip = read_csv(file="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\LGL_Proportion_riparian_buffer_disturbed.csv")
-#AES Rip Buffer
-AES_Rip = read_csv(file="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\ES_Proportion_riparian_buffer_disturbed.csv")
-#LGL EPT
-LGL_EPT = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\EPT.xlsx",
-sheet = "LGL_ept")
-#AES EPT
-AES_EPT = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\EPT.xlsx",
-sheet = "ES_ept")
-#LGL SAR old
-LGL_SAR = read_csv(file="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Older versions of datasets\\LGL_Biodiversity.csv")
-newtheme <- theme_classic()+
-theme(axis.title = element_blank(), axis.line  = element_line(color="black"),
-axis.ticks = element_line(color="black"), axis.text = element_text(face="bold"),
-axis.line.y = element_blank(),
-axis.ticks.y =element_blank(),
-axis.text.y = element_blank(),
-panel.background = element_rect(fill = "transparent", colour = NA),
-plot.background = element_rect(fill = "white", colour = "black") )
-######LGL Fish Richness
-ggplot(LGL_Biod_PA)+
-geom_histogram(aes(x=Fishspprichness), bins=20, fill="grey30")+
-newtheme
-ggsave("LGL_FishRichness_histogram.png",
-path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Histograms",
-device="png", width=1.5, height=0.75)
-######LGL SAR Richness
-ggplot(LGL_SAR)+
-geom_histogram(aes(x=DIST_Total), bins=20, fill="grey30")+
-newtheme
-ggsave("LGL_SARARichness_histogram.png",
-path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Histograms",
-device="png", width=1.5, height=0.75)
-quantile(LGL_SAR$DIST_Total)
-quantile(LGL_SAR$DIST_Total, na/rm = F)
-quantile(LGL_SAR$DIST_Total, na.rm = F)
-quantile(LGL_SAR$DIST_Total, na.rm = FALSE)
-quantile(LGL_SAR$DIST_Total, na.rm = TRUE)
-quantile(LGL_Biod_PA$Invasive, na.rm = TRUE)
-######LGL EPT
-names(LGL_EPT)[2]<-"pEPT"
-quantile(LGL_EPT$pEPT, na.rm = TRUE)
-quantile(AES_Biod_PA$SppRichness, na.rm = TRUE)
-quantile(AES_Biod_PA$SARA, na.rm = TRUE)
-quantile(AES_Biod_PA$Invasive, na.rm = TRUE)
-######AES EPT
-names(AES_EPT)[2]<-"pEPT"
-quantile(AES_EPT$pEPT, na.rm = TRUE)
-source('C:/Users/DeyC/Desktop/Cody Work/GLLFAS Round 2/Projects/SoFFH/Res Doc 2 - SOFFH metrics/SOFFH_Data/SOFFH_histograms_v4.R', echo=TRUE)
-#AES Temp data
-AES_temp = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\ES_JAmeanwatertempupdate.xls",
-sheet ="Sheet1" )
-names(AES_temp)
-ggplot(AES_temp)+
-geom_histogram(aes(x=AvgOfAvgOfWatertemp), bins=20, fill="grey30")+
-newtheme
-ggplot(AES_temp)+
-geom_histogram(aes(x=AvgOfAvgOfWatertemp), bins=15, fill="grey30")+
-newtheme
-ggsave("AES_JAAvgTemp_histogram.png",
-path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Histograms",
-device="png", width=1.5, height=0.75)
-quantile(AES_temp$AvgOfAvgOfWatertemp)
-######LGL Water Temp
-LGL_temp = LGL_temp %>% filter(Longitude_DD >-100) ##removes 4 records
-quantile(LGL_temp$JAAvgTemp)
-###LGL Stream Crossings
-LGL_AU = LGL_AU %>% mutate(Cross_Dens = ALL_CROSSINGS/STREAMS_KM)
-quantile(LGL_AU$Cross_Dens)
-quantile(LGL_AU$Cross_Dens, na.rm = T)
-###LGL Stream Crossings
-LGL_AU = LGL_AU %>% mutate(Cross_Dens = 10*ALL_CROSSINGS/STREAMS_KM)
-ggplot(LGL_AU)+
-geom_histogram(aes(x=Cross_Dens), bins=20, fill="grey30")+
-ylab("assessment units")+
-newtheme
-quantile(LGL_AU$Cross_Dens, na.rm = T)
-###AES Stream Crossings
-AES_AU = AES_AU %>% mutate(Cross_Dens = 10*ALL_CROSSINGS/STREAMS_KM)
-quantile(AES_AU$Cross_Dens, na.rm = T)
-#AES CABD metrics
-AES_CABD = AES_CABD %>% select(starts_with("Num"), "HUC8")
-AES_CABD$HUC8 <- as.character(as.numeric(AES_CABD$HUC8))
-AES_AU$HUC_8 <- as.character(AES_AU$HUC_8)
-AES_CABD = left_join(AES_CABD, AES_AU, by =c("HUC8" = "HUC_8"))
-AES_CABD = AES_CABD %>% mutate(waterfall_dens = NumWaterfalls*10/STREAMS_KM)
-quantile(AES_CABD$waterfall_dens, na.rm = T)
-AES_CABD = AES_CABD %>% mutate(dam_dens = NumDams*10/STREAMS_KM)
-quantile(AES_CABD$dam_dens, na.rm = T)
-AES_CABD = AES_CABD %>% mutate(fish_dens = NumFishways/STREAMS_KM)
-AES_CABD = AES_CABD %>% mutate(fish_dens = NumFishways*10/STREAMS_KM)
-quantile(AES_CABD$fish_dens, na.rm = T)
-LGL_AU$ROADS_KM[is.na(LGL_AU$ROADS_KM)]<-0
-LGL_AU = LGL_AU %>% mutate(road_dens = ROADS_KM/WATERSHED_AREA_KM2)
-quantile(LGL_AU$road_dens, na.rm = T)
-quantile(LGL_Rip$prop_buffer_disturbed, na.rm = T)
-quantile(LGL_Biod_PA$PropPA_LGLA, na.rm = T)
-quantile(LGL_Biod_PA$PropPA_LGLA*100, na.rm = T)
-quantile(AES_Rip$prop_buffer_disturbed*100, na.rm = T)
-AES_AU$ROADS_KM[is.na(AES_AU$ROADS_KM)]<-0
-AES_AU = AES_AU %>% mutate(road_dens = ROADS_KM/WATERSHED_AREA_KM2)
-quantile(AES_AU$road_dens, na.rm = T)
-require(tidyverse)
-require(readxl)
-require(scales)
-#QWS summary data for LGL
-LGL_AU = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\CSAS_Update_20220922.xlsx",
-sheet ="LGL_MainStats" )
-#HUC8 summary data for AES
-AES_AU = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\CSAS_Update_20220922.xlsx",
-sheet ="ES_MainStats" )
-#LGL_Biodiversity and PAs
-LGL_Biod_PA = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Summaryofupdatestometrics_Sep182022.xlsx",
-sheet ="LGLA_AUmetrics" )
-#AES Biodiversity and PAs
-AES_Biod_PA = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Summaryofupdatestometrics_Sep182022.xlsx",
-sheet ="AESA_HUCmetrics" )
-#LGL temp data
-LGL_temp = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Summaryofupdatestometrics_Sep182022.xlsx",
-sheet ="LGLA_Tempsitedata" )
-#AES Temp data
-AES_temp = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\ES_JAmeanwatertempupdate.xls",
-sheet ="Sheet1" )
-#AES barrier data CABD
-AES_CABD = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Summaryofupdatestometrics_Sep182022.xlsx",
-sheet ="AESA_damwffwaydata" )
-#LGL Rip Buffer
-LGL_Rip = read_csv(file="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\LGL_Proportion_riparian_buffer_disturbed.csv")
-#AES Rip Buffer
-AES_Rip = read_csv(file="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\ES_Proportion_riparian_buffer_disturbed.csv")
-#LGL EPT
-LGL_EPT = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\EPT.xlsx",
-sheet = "LGL_ept")
-#AES EPT
-AES_EPT = read_excel(path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\EPT.xlsx",
-sheet = "ES_ept")
-#LGL SAR old
-LGL_SAR = read_csv(file="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Older versions of datasets\\LGL_Biodiversity.csv")
-newtheme <- theme_classic()+
-theme(axis.title = element_blank(), axis.line  = element_line(color="black"),
-axis.ticks = element_line(color="black"), axis.text = element_text(face="bold"),
-axis.line.y = element_blank(),
-axis.ticks.y =element_blank(),
-axis.text.y = element_blank(),
-panel.background = element_rect(fill = "transparent", colour = NA),
-plot.background = element_rect(fill = "white", colour = "black") )
-###LGL Stream Crossings
-LGL_AU = LGL_AU %>% mutate(Cross_Dens = 10*ALL_CROSSINGS/STREAMS_KM)
-ggplot(LGL_AU)+
-geom_histogram(aes(x=Cross_Dens), bins=20, fill="grey30")+
-ylab("assessment units")+
-newtheme
-ggsave("LGL_stream_crossings_histogram.png",
-path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Histograms",
-device="png", width=1.5, height=0.75)
-###AES Stream Crossings
-AES_AU = AES_AU %>% mutate(Cross_Dens = 10*ALL_CROSSINGS/STREAMS_KM)
-ggplot(AES_AU)+
-geom_histogram(aes(x=Cross_Dens), bins=20, fill="grey30")+
-ylab("assessment units")+
-newtheme
-ggsave("AES_stream_crossings_histogram.png",
-path="C:\\Users\\DeyC\\Desktop\\Cody Work\\GLLFAS Round 2\\Projects\\SoFFH\\Res Doc 2 - SOFFH metrics\\SOFFH_Data\\Histograms",
-device="png", width=1.5, height=0.75)
-AES_AU$ROADS_KM[is.na(AES_AU$ROADS_KM)]<-0
-AES_AU = AES_AU %>% mutate(road_dens = ROADS_KM/WATERSHED_AREA_KM2)
-ggplot(AES_AU)+
-geom_histogram(aes(x=road_dens), bins=20, fill="grey30")+
-ylab("assessment units")+
-newtheme
-length(which(AES_AU$road_dens == 0))/107
-sort(AES_AU$road_dens)
-sessionInfo()
-install.packages("tidyverse")
-#load data
-######################
-weights = read_csv("Co_author_weightings.csv")
-require(tidyverse)
-require(viridis)
-require(ggmap)
-require(ggspatial)
-require(sf)
-require(GGally)
-require(ggbeeswarm)
-require(ggpubr)
-#load data
-######################
-weights = read_csv("Co_author_weightings.csv")
-setwd("C:/Users/DeyC/Desktop/Cody Work/GLLFAS Round 2/Projects/KBA - Watershed prioritization/Analysis")
-#load data
-######################
-weights = read_csv("Co_author_weightings.csv")
-#
-# data5 = read_csv("watershed_prioritization_level5.csv")
-# map5 = read_sf("Hybas5_map/hyC_5_join_shp_Lamb_up.shp")
-# map5 = left_join(map5, data5, by="HYBAS_ID")
-# data6 = read_csv("watershed_prioritization_level6.csv")
-# map6 = read_sf("Hydrobasin Level 6/hyC_6_join_shp_Lamb_up.shp")
-# map6 = left_join(map6, data6, by="HYBAS_ID")
-# map6 = map6 %>% filter(HYBAS_ID %in% data6$HYBAS_ID)
-feow = read_sf("FEOW_CAN_Extent/FEOW__CAN_Extent.shp")
-###########
-#Identify which hy5 each hy6 belongs to
-##############
-# max_overlap = c()
-# for(i in 1:nrow(map6)){
-#   sub6 = map6[i,]
-#   intersects <- which(st_intersects(sub6, map5, sparse = FALSE))
-#   overlaps <- st_intersection(sub6, map5[intersects,])
-#   area = st_area(overlaps)
-#   max_overlap[i]<-map5$HYBAS_ID[intersects[which.max(area)]]
-#   print(i)
-# }
-#
-# map6$corresponding.HYBAS5<-max_overlap
-#st_write(map6, "map6.gpkg")
-map6<-read_sf("map6.gpkg")
-# st_write(map5, "map5.gpkg")
-map5<-read_sf("map5.gpkg")
-############
-#Scale ranks within FEOW to number of FEOW
-###########
-#
-maxrank = max(map6$Prot_rank_feow-1)
-map6 = map6 %>%  group_by(FEOW_ID) %>%
-mutate(Prot_rank_feow_scaled = ( (Prot_rank_feow-1)* maxrank/max(Prot_rank_feow-1) )+1)
-maxrank = max(map6$Rest_rank_feow-1)
-map6 = map6 %>%  group_by(FEOW_ID) %>%
-mutate(Rest_rank_feow_scaled = ( (Rest_rank_feow-1)* maxrank/max(Rest_rank_feow-1) )+1)
-maxrank = max(map6$SAR_rank_feow-1)
-map6 = map6 %>%  group_by(FEOW_ID) %>%
-mutate(SAR_rank_feow_scaled = ( (SAR_rank_feow-1)* maxrank/max(SAR_rank_feow-1) ) +1 )
-maxrank = max(map6$AIS_rank_feow-1)
-map6 = map6 %>%  group_by(FEOW_ID) %>%
-mutate(AIS_rank_feow_scaled = ( (AIS_rank_feow-1)* maxrank/max(AIS_rank_feow-1) ) +1 )
-############
-d5 = map5 %>% st_drop_geometry()
-map6 = map6 %>% mutate(
-protection_score5 = d5$protection_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-restoration_score5 = d5$restoration_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-SAR_score5 = d5$SAR_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-AIS_score5 = d5$AIS_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-)
-#Investigating scale
-#######
-d5 = map5 %>% st_drop_geometry()
-map6 = map6 %>% mutate(
-protection_score5 = d5$protection_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-restoration_score5 = d5$restoration_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-SAR_score5 = d5$SAR_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-AIS_score5 = d5$AIS_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-)
-colnames(d5)
-d5$protection_score
-d5$HYBAS_ID
-#Investigating scale
-#######
-d5 = map5 %>% st_drop_geometry() %>%ungroup()
-map6 = map6 %>% mutate(
-protection_score5 = d5$protection_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-restoration_score5 = d5$restoration_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-SAR_score5 = d5$SAR_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-AIS_score5 = d5$AIS_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-)
-colnames(map6)
-match(map6$corresponding.HYBAS5, d5$HYBAS_ID)
-d5$protection_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)]
-#Investigating scale
-#######
-d5 = map5 %>% st_drop_geometry() %>%ungroup()
-map6 = map6 %>% mutate(
-protection_score5 = d5$protection_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-restoration_score5 = d5$restoration_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-SAR_score5 = d5$SAR_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-AIS_score5 = d5$AIS_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-)
-map6 = map6 %>% ungroup() %>% mutate(
-protection_score5 = d5$protection_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-restoration_score5 = d5$restoration_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-SAR_score5 = d5$SAR_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-AIS_score5 = d5$AIS_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
-)
-obj=c("protection", "restoration", "SAR", "AIS")
-threshold = seq(0.05,0.5,0.01)
-df = tibble(objective = c(), threshold = c(), ratio=c())
-for(i in 1:length(obj)){
-for(j in 1:length(threshold)){
-var = paste0(obj[i],"_score")
-tmp = map6 %>% ungroup() %>%
-group_by(FEOW_ID) %>%
-arrange(FEOW_ID, desc(!!var)) %>%
-relocate(!!var, .after = last_col()) %>%
-top_frac(n = threshold[j])
-map6$level6 = ifelse(map6$HYBAS_ID %in% tmp$HYBAS_ID, 1, 0)
-var2 = paste0(obj[i],"_score5")
-tmp = map6 %>% ungroup() %>%
-group_by(FEOW_ID) %>%
-arrange(FEOW_ID, desc(!!var2)) %>%
-relocate(!!var2, .after = last_col()) %>%
-top_frac(n = threshold[j])
-map6$level5 = ifelse(map6$HYBAS_ID %in% tmp$HYBAS_ID, 1, 0)
-ratio = length(which(map6$level6 == 1 & map6$level5 == 0)) / length(which(map6$level6 == 1))
-to_add = tibble(objective = obj[i], threshold = threshold[j], ratio=ratio)
-df = bind_rows(df, to_add)
-}
-}
-mylabels = df %>% filter(threshold == 0.5)
-mylabels$ratio[which(mylabels$objective == "SAR")]<-0.24 #nudge
-df
-df %>% filter(threshold == 0.1)
-map6$SARI_n
-##Priorities within ecoregions
-###############
-data = map6
-map6 %>% st_drop_geometry %>% ungroup() %>% group_by(FEOW_ID) %>% summarise(SAR_p = max(SARI_n))
-map6 %>% st_drop_geometry %>% ungroup() %>% group_by(FEOW_ID) %>% summarise(SAR_p = max(SARI_n)) %>% print(n=Inf)
-colnames(map6)
-#two ecoregions with no SAR (111, 112)
-map6 %>% st_drop_geometry %>% ungroup() %>% group_by(FEOW_ID) %>% summarise(SAR_p = max(FBCI_n)) %>% print(n=Inf)
-sessionInfo()
-citation()
-citation(package="sf")
-citation(package="shiny")
-citation(package="leaflet")
-citation(package="tidyverse")
diff --git a/Analysis/.Rproj.user/E8595228/pcs/debug-breakpoints.pper b/Analysis/.Rproj.user/E8595228/pcs/debug-breakpoints.pper
deleted file mode 100644
index 4893a8a..0000000
--- a/Analysis/.Rproj.user/E8595228/pcs/debug-breakpoints.pper
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-    "debugBreakpointsState": {
-        "breakpoints": []
-    }
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/pcs/files-pane.pper b/Analysis/.Rproj.user/E8595228/pcs/files-pane.pper
deleted file mode 100644
index 280b85e..0000000
--- a/Analysis/.Rproj.user/E8595228/pcs/files-pane.pper
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "sortOrder": [
-        {
-            "columnIndex": 2,
-            "ascending": true
-        }
-    ],
-    "path": "/cloud/project"
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/pcs/source-pane.pper b/Analysis/.Rproj.user/E8595228/pcs/source-pane.pper
deleted file mode 100644
index ddca97d..0000000
--- a/Analysis/.Rproj.user/E8595228/pcs/source-pane.pper
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "activeTab": 2
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/pcs/windowlayoutstate.pper b/Analysis/.Rproj.user/E8595228/pcs/windowlayoutstate.pper
deleted file mode 100644
index 877bbd7..0000000
--- a/Analysis/.Rproj.user/E8595228/pcs/windowlayoutstate.pper
+++ /dev/null
@@ -1,14 +0,0 @@
-{
-    "left": {
-        "splitterpos": 182,
-        "topwindowstate": "NORMAL",
-        "panelheight": 458,
-        "windowheight": 532
-    },
-    "right": {
-        "splitterpos": 251,
-        "topwindowstate": "NORMAL",
-        "panelheight": 458,
-        "windowheight": 532
-    }
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/pcs/workbench-pane.pper b/Analysis/.Rproj.user/E8595228/pcs/workbench-pane.pper
deleted file mode 100644
index 75e70e9..0000000
--- a/Analysis/.Rproj.user/E8595228/pcs/workbench-pane.pper
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-    "TabSet1": 0,
-    "TabSet2": 0,
-    "TabZoom": {}
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/persistent-state b/Analysis/.Rproj.user/E8595228/persistent-state
deleted file mode 100644
index 2a4574f..0000000
--- a/Analysis/.Rproj.user/E8595228/persistent-state
+++ /dev/null
@@ -1,11 +0,0 @@
-activeClientUrl="https://fc14cc3caea24daca1d4cdbf66fac50f.app.posit.cloud/"
-build-last-errors="[]"
-build-last-errors-base-dir=""
-build-last-outputs="[]"
-compile_pdf_state="{\"tab_visible\":false,\"running\":false,\"target_file\":\"\",\"output\":\"\",\"errors\":[]}"
-displayName="freshwater.fish.habitat@gmail.com"
-files.monitored-path=""
-find-in-files-state="{\"handle\":\"\",\"input\":\"\",\"path\":\"\",\"regex\":false,\"ignoreCase\":false,\"results\":{\"file\":[],\"line\":[],\"lineValue\":[],\"matchOn\":[],\"matchOff\":[],\"replaceMatchOn\":[],\"replaceMatchOff\":[]},\"running\":false,\"replace\":false,\"preview\":false,\"gitFlag\":false,\"replacePattern\":\"\"}"
-imageDirtyState="1"
-portToken="104e59115aca"
-saveActionState="-1"
diff --git a/Analysis/.Rproj.user/E8595228/saved_source_markers b/Analysis/.Rproj.user/E8595228/saved_source_markers
deleted file mode 100644
index 2b1bef1..0000000
--- a/Analysis/.Rproj.user/E8595228/saved_source_markers
+++ /dev/null
@@ -1 +0,0 @@
-{"active_set":"","sets":[]}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/prop/1CE0461A b/Analysis/.Rproj.user/E8595228/sources/prop/1CE0461A
deleted file mode 100644
index bb27690..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/prop/1CE0461A
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-    "source_window_id": "",
-    "Source": "Source"
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/prop/4F6A4D66 b/Analysis/.Rproj.user/E8595228/sources/prop/4F6A4D66
deleted file mode 100644
index bb27690..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/prop/4F6A4D66
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-    "source_window_id": "",
-    "Source": "Source"
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/prop/597B43C7 b/Analysis/.Rproj.user/E8595228/sources/prop/597B43C7
deleted file mode 100644
index 0f4ed8a..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/prop/597B43C7
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-    "source_window_id": "",
-    "Source": "Source",
-    "cursorPosition": "71,0",
-    "scrollLine": "0"
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/prop/5BA6F148 b/Analysis/.Rproj.user/E8595228/sources/prop/5BA6F148
deleted file mode 100644
index 73d73f5..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/prop/5BA6F148
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-    "source_window_id": "",
-    "Source": "Source",
-    "cursorPosition": "74,26",
-    "scrollLine": "0"
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/prop/5C31E014 b/Analysis/.Rproj.user/E8595228/sources/prop/5C31E014
deleted file mode 100644
index 6dbe7bd..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/prop/5C31E014
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-    "source_window_id": "",
-    "Source": "Source",
-    "cursorPosition": "10,0",
-    "scrollLine": "0"
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/prop/6EE7B400 b/Analysis/.Rproj.user/E8595228/sources/prop/6EE7B400
deleted file mode 100644
index efc9123..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/prop/6EE7B400
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-    "source_window_id": "",
-    "Source": "Source",
-    "cursorPosition": "8,50",
-    "scrollLine": "0"
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/prop/C3F1A500 b/Analysis/.Rproj.user/E8595228/sources/prop/C3F1A500
deleted file mode 100644
index de1ab9e..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/prop/C3F1A500
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-    "source_window_id": "",
-    "Source": "Source",
-    "cursorPosition": "164,0",
-    "scrollLine": "150"
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/prop/EB7B1BC7 b/Analysis/.Rproj.user/E8595228/sources/prop/EB7B1BC7
deleted file mode 100644
index 9fc5e93..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/prop/EB7B1BC7
+++ /dev/null
@@ -1,7 +0,0 @@
-{
-    "tempName": "Untitled1",
-    "source_window_id": "",
-    "Source": "Source",
-    "cursorPosition": "0,0",
-    "scrollLine": "0"
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/prop/F051E403 b/Analysis/.Rproj.user/E8595228/sources/prop/F051E403
deleted file mode 100644
index 169b6bc..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/prop/F051E403
+++ /dev/null
@@ -1,7 +0,0 @@
-{
-    "tempName": "Untitled1",
-    "source_window_id": "",
-    "Source": "Source",
-    "cursorPosition": "149,0",
-    "scrollLine": "139"
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/prop/INDEX b/Analysis/.Rproj.user/E8595228/sources/prop/INDEX
deleted file mode 100644
index 9136562..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/prop/INDEX
+++ /dev/null
@@ -1,9 +0,0 @@
-%2Fcloud%2Fproject%2FAnalysis_v5.R="5C31E014"
-%2Fcloud%2Fproject%2FRes%20Doc%20Figures.R="C3F1A500"
-%2Fcloud%2Fproject%2FResults_plots.R="F051E403"
-%2Fcloud%2Fproject%2FSpp_dist_HYBAS5_20230125.csv="1CE0461A"
-%2Fcloud%2Fproject%2Fcalculate%20I%20and%20Q.R="6EE7B400"
-%2Fcloud%2Fproject%2Fdata%20carpentry_lvl5.R="597B43C7"
-%2Fcloud%2Fproject%2Fdata%20carpentry_lvl6.R="EB7B1BC7"
-%2Fcloud%2Fproject%2Ffixing%20stuff.R="5BA6F148"
-%2Fcloud%2Fproject%2FhyC_5_join_shp_Lamb_up.cpg="4F6A4D66"
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/1506E9AD-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/1506E9AD-contents
deleted file mode 100644
index e69de29..0000000
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/284BA0CF-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/284BA0CF-contents
deleted file mode 100644
index e69de29..0000000
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/3CC9B65B-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/3CC9B65B-contents
deleted file mode 100644
index e69de29..0000000
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/46446539-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/46446539-contents
deleted file mode 100644
index abe8df3..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/46446539-contents
+++ /dev/null
@@ -1,36 +0,0 @@
-library(dplyr)
-set.seed(123)
-
-var2 <- c(rep(NA, 5), rnorm(10, mean=2, sd=1))
-#var2 <- c(rnorm(15, mean=2, sd=1))
-var1 <- c(rep("A", 5), rep("B", 5), rep("C", 5))
-var3 <- rnorm(15, mean=25, sd=1)
-date <- rep(1:5, 3)
-df <- data.frame(var1, date, var2, var3) 
-
-
-df2 = df %>% group_by(var1) %>% 
-  summarize(
-    across(c(var2, var3),
-           list(sd=sd,var=var, count = ~sum(!is.na(.)) ), na.rm = TRUE))
-
-
-custom_lm <- function(Y, X){
-  if(sum(!is.na(Y)) == 0 | sum(!is.na(X)) == 0) {
-    NA} else {lm(Y~X, cur_data())$coef[2]}
-   }
-
-df %>% dplyr::group_by(var1) %>% 
-  dplyr::summarize(
-  across(c(var2, var3),
-         list(slope = ~custom_lm(., date)
-              )
-         )
-           )
-
-
-
-  
-
-lm(rep(NA,5)~c(1:5), )
-
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/923DFAD5 b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/923DFAD5
deleted file mode 100644
index d6c57b9..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/923DFAD5
+++ /dev/null
@@ -1,27 +0,0 @@
-{
-    "id": "923DFAD5",
-    "path": null,
-    "project_path": null,
-    "type": "r_source",
-    "hash": "41099",
-    "contents": "",
-    "dirty": true,
-    "created": 1676922502018.0,
-    "source_on_save": false,
-    "relative_order": 4,
-    "properties": {
-        "tempName": "Untitled1",
-        "source_window_id": "",
-        "Source": "Source",
-        "cursorPosition": "3,1",
-        "scrollLine": "0"
-    },
-    "folds": "",
-    "lastKnownWriteTime": 2,
-    "encoding": "",
-    "collab_server": "",
-    "source_window": "",
-    "last_content_update": 1676922601906,
-    "read_only": false,
-    "read_only_alternatives": []
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/923DFAD5-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/923DFAD5-contents
deleted file mode 100644
index 12dafb0..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/923DFAD5-contents
+++ /dev/null
@@ -1,4 +0,0 @@
-# What climate metric to use
-# Used HStress as WSI metric
-#Some discussion about using Jaccard similarity rather than dissimilarity...
-#
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/973D161C-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/973D161C-contents
deleted file mode 100644
index e69de29..0000000
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/9F022EAB-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/9F022EAB-contents
deleted file mode 100644
index e69de29..0000000
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/9F68A8CA-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/9F68A8CA-contents
deleted file mode 100644
index 3ad133c..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/9F68A8CA-contents
+++ /dev/null
@@ -1 +0,0 @@
-UTF-8
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/A1FEEE97-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/A1FEEE97-contents
deleted file mode 100644
index 2c9a63e..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/A1FEEE97-contents
+++ /dev/null
@@ -1,11 +0,0 @@
-ggplot() +
-  layer_spatial(feow, aes(fill=as.numeric(FEOW_ID)), color ="black")+
-  annotation_north_arrow(location = "br", which_north = "true")+
-  theme_minimal()+
-  theme(legend.position = c(0.5, 0.2), legend.direction = "horizontal")+
-  guides(fill = guide_colourbar(reverse = TRUE, title.position = "top", title.hjust =0.5))+
-  ggtitle("Priority watersheds for area-based protection",
-          subtitle = "rank within freshwater ecoregions")
-
-map5_test = map5 %>% filter(FEOW_ID == 115)
-feow_test = feow %>% filter(FEOW_ID == 115)
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/ADEF23C2-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/ADEF23C2-contents
deleted file mode 100644
index 7e4b8a3..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/ADEF23C2-contents
+++ /dev/null
@@ -1,4 +0,0 @@
-require(tidyverse)
-require(readxl)
-rm()
-
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B60690C0 b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B60690C0
deleted file mode 100644
index b7d3959..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B60690C0
+++ /dev/null
@@ -1,27 +0,0 @@
-{
-    "id": "B60690C0",
-    "path": "/cloud/project/Results_plots.R",
-    "project_path": "Results_plots.R",
-    "type": "r_source",
-    "hash": "949482095",
-    "contents": "",
-    "dirty": false,
-    "created": 1676902843260.0,
-    "source_on_save": false,
-    "relative_order": 3,
-    "properties": {
-        "tempName": "Untitled1",
-        "source_window_id": "",
-        "Source": "Source",
-        "cursorPosition": "149,0",
-        "scrollLine": "139"
-    },
-    "folds": "",
-    "lastKnownWriteTime": 1676922499,
-    "encoding": "UTF-8",
-    "collab_server": "",
-    "source_window": "",
-    "last_content_update": 1676922499973,
-    "read_only": false,
-    "read_only_alternatives": []
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B60690C0-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B60690C0-contents
deleted file mode 100644
index 149da81..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B60690C0-contents
+++ /dev/null
@@ -1,259 +0,0 @@
-require(tidyverse)
-require(viridis)
-require(ggmap)
-require(ggspatial)
-require(sf)
-require(GGally)
-require(ggbeeswarm)
-require(gridExtra)
-
-#pairwise rankings
-#co-author scores
-
-
-
-#load data
-######################
-data5 = read_csv("watershed_prioritization_level5.csv")
-weights = read_csv("Co_author_weightings.csv")
-
-map5 = read_sf("hyC_5_join_shp_Lamb_up.shp")
-map5 = left_join(map5, data5, by="HYBAS_ID")
-
-feow = read_sf("FEOW_CAN_Extent/FEOW__CAN_Extent.shp")
-
-###########
-#data exploration
-#pairwise correlations
-
-#Input data
-ggpairs(data5, 
-        columns = c("WSI_n", "FBCI_n", "CCI_n","SARI_n", "Fish_richness_n", "Priority_n"),
-        columnLabels = c("WSI_n", "FBCI_n", "CCI_n","SARI_n", "Fish_richness_n", "FishPriority_n"))
-
-#Scores
-ggpairs(data5, 
-        columns = c("protection_score", "restoration_score", "SAR_score", "AIS_score"))
-
-ggpairs(data5, 
-        columns = c("Prot_rank_feow", "Rest_rank_feow", "SAR_rank_feow", "AIS_rank_feow"))
-
-####
-#weightings plot
-##########
-
-pdata1 = weights[,c(1:6)]
-pdata1 = pivot_longer(pdata1, cols = starts_with("Weight for"))
-pdata1$name<- rep(c("Watershed stress", "Fish biodiversity change", "Climate change",
-                    "Species at risk density", "Fish richness", "Fish rarity"), 8)
-sumpdata1 = pdata1 %>% group_by(name) %>% summarize (med = median(value))
-
-p1<-ggplot()+
-  geom_hline(aes(yintercept = 0), color = "black", linetype=2 )+
-  geom_beeswarm(data=pdata1, aes(x=reorder(name, value, median),  y = value), size=2)+
-  geom_point(data = sumpdata1, aes(x=name, y = med), color="black", alpha = 0.2, size=6)+
-  scale_y_continuous(breaks = c(-4,-2,0,2,4), limits = c(-6,6))+
-  ylab("Weight")+xlab("")+
-  coord_flip()+
-  theme_minimal()+
-  ggtitle("Area-based protection")+
-  theme(legend.position = "bottom", legend.title = element_blank())+
-  theme(plot.title = element_text(hjust=0.5))
-
-p1
-
-###########
-pdata2 = weights[,c(7:12)]
-pdata2 = pivot_longer(pdata2, cols = starts_with("Weight for"))
-pdata2$name<- rep(c("Watershed stress", "Fish biodiversity change", "Climate change",
-                    "Species at risk density", "Fish richness", "Fish rarity"), 8)
-sumpdata2 = pdata2 %>% group_by(name) %>% summarize (med = median(value))
-
-p2<-ggplot()+
-  geom_hline(aes(yintercept = 0), color = "black", linetype=2 )+
-  geom_beeswarm(data=pdata2, aes(x=reorder(name, value, median),  y = value), size=2)+
-  geom_point(data = sumpdata2, aes(x=name, y = med), color="black", alpha = 0.2, size=6)+
-  scale_y_continuous(breaks = c(-4,-2,0,2,4), limits = c(-6,6))+
-  ylab("Weight")+xlab("")+
-  coord_flip()+
-  theme_minimal()+
-  ggtitle("Restoration")+
-  theme(legend.position = "bottom", legend.title = element_blank())+
-  theme(plot.title = element_text(hjust=0.5))
-p2
-
-###########
-pdata3 = weights[,c(13:18)]
-pdata3 = pivot_longer(pdata3, cols = starts_with("Weight for"))
-pdata3$name<- rep(c("Watershed stress", "Fish biodiversity change", "Climate change",
-                    "Species at risk density", "Fish richness", "Fish rarity"), 8)
-sumpdata3 = pdata3 %>% group_by(name) %>% summarize (med = median(value))
-
-p3<-ggplot()+
-  geom_hline(aes(yintercept = 0), color = "black", linetype=2 )+
-  geom_beeswarm(data=pdata3, aes(x=reorder(name, value, median),  y = value), size=2)+
-  geom_point(data = sumpdata3, aes(x=name, y = med), color="black", alpha = 0.2, size=6)+
-  scale_y_continuous(breaks = c(-4,-2,0,2,4), limits = c(-6,6))+
-  ylab("Weight")+xlab("")+
-  coord_flip()+
-  theme_minimal()+
-  ggtitle("Species at risk management")+
-  theme(legend.position = "bottom", legend.title = element_blank())+
-  theme(plot.title = element_text(hjust=0.5))
-p3
-
-###########
-pdata4 = weights[,c(19:24)]
-pdata4 = pivot_longer(pdata4, cols = starts_with("Weight for"))
-pdata4$name<- rep(c("Watershed stress", "Fish biodiversity change", "Climate change",
-                    "Species at risk density", "Fish richness", "Fish rarity"), 8)
-sumpdata4 = pdata4 %>% group_by(name) %>% summarize (med = median(value))
-
-p4<-ggplot()+
-  geom_hline(aes(yintercept = 0), color = "black", linetype=2 )+
-  geom_beeswarm(data=pdata4, aes(x=reorder(name, value, median),  y = value), size=2)+
-  geom_point(data = sumpdata4, aes(x=name, y = med), color="black", alpha = 0.2, size=6)+
-  scale_y_continuous(breaks = c(-4,-2,0,2,4), limits = c(-6,6))+
-  ylab("Weight")+xlab("")+
-  coord_flip()+
-  theme_minimal()+
-  ggtitle("Invasive species management")+
-  theme(legend.position = "bottom", legend.title = element_blank())+
-  theme(plot.title = element_text(hjust=0.5))
-p4
-
-grid.arrange(p1,p2,p3,p4, nrow=2)
-
-
-
-#Maps
-map5_test = map5 %>% filter(FEOW_ID %in% c(113:115, 117:119))
-feow_test = feow %>% filter(FEOW_ID %in% c(113:115, 117:119))
-
-##plotting area-based protection priorities
-#1.1 regional priorities for area-based protection - level 5
-ggplot() +
-  layer_spatial(map5_test, aes(fill = Prot_rank_feow), col = "white", alpha=1)+
-  layer_spatial(feow_test, fill="transparent", color ="black", linewidth = 0.8)+
-  scale_fill_viridis(option = "magma", direction = -1, end =0.9,
-                     name="Priority", 
-                     breaks = c(1, max(map5_test$Prot_rank_feow)),
-                     labels=c("high", "low"))+
-  annotation_north_arrow(location = "br", which_north = "true")+
-  theme_minimal()+
-  theme(legend.position = c(0.75, 0.06), legend.direction = "horizontal")+
-  guides(fill = guide_colourbar(reverse = TRUE, title.position = "top", title.hjust =0.5))+
-  ggtitle("Priority watersheds for area-based protection",
-          subtitle = "rank within freshwater ecoregions")
-
-
-#1.2 national priorities for area-based protection - level 5
-ggplot() +
-  layer_spatial(map5_test, aes(fill = rank(-protection_score)), col = "white", alpha=1)+
-  scale_fill_viridis(option = "magma", direction = -1, end =0.9,
-                     name="Priority", 
-                     breaks = c(1, max(rank(-map5_test$protection_score))), 
-                     labels=c("high", "low") )+
-  annotation_north_arrow(location = "br", which_north = "true")+
-  theme_minimal()+
-  theme(legend.position = c(0.75, 0.06), legend.direction = "horizontal")+
-  guides(fill = guide_colourbar(reverse = TRUE, title.position = "top", title.hjust =0.5))+
-  ggtitle("Priority watersheds for area-based protection",
-          subtitle = "national ranks")
-
-####################################
-##2. plotting restoration priorities
-#2.1 regional priorities for restoration - level 5
-ggplot() +
-  layer_spatial(map5_test, aes(fill = Rest_rank_feow), col = "white", alpha=1)+
-  layer_spatial(feow_test, fill="transparent", color ="black", linewidth = 0.8)+
-  scale_fill_viridis(option = "magma", direction = -1, end =0.9,
-                     name="Priority", 
-                     breaks = c(1, max(map5_test$Rest_rank_feow)),
-                     labels=c("high", "low"))+
-  annotation_north_arrow(location = "br", which_north = "true")+
-  theme_minimal()+
-  theme(legend.position = c(0.75, 0.06), legend.direction = "horizontal")+
-  guides(fill = guide_colourbar(reverse = TRUE, title.position = "top", title.hjust =0.5))+
-  ggtitle("Priority watersheds for restoration",
-          subtitle = "rank within freshwater ecoregions")
-
-#2.2 national priorities for area-based protection - level 5
-ggplot() +
-  layer_spatial(map5_test, aes(fill = rank(-restoration_score)), col = "white", alpha=1)+
-  scale_fill_viridis(option = "magma", direction = -1, end =0.9,
-                     name="Priority", 
-                     breaks = c(1, max(rank(-map5_test$restoration_score))), 
-                     labels=c("high", "low") )+
-  annotation_north_arrow(location = "br", which_north = "true")+
-  theme_minimal()+
-  theme(legend.position = c(0.75, 0.06), legend.direction = "horizontal")+
-  guides(fill = guide_colourbar(reverse = TRUE, title.position = "top", title.hjust =0.5))+
-  ggtitle("Priority watersheds for restoration",
-          subtitle = "national ranks")
-
-
-####################################
-##3. plotting SAR priorities
-#3.1 regional priorities for SAR - level 5
-ggplot() +
-  layer_spatial(map5_test, aes(fill = SAR_rank_feow), col = "white", alpha=1)+
-  layer_spatial(feow_test, fill="transparent", color ="black", linewidth = 0.8)+
-  scale_fill_viridis(option = "magma", direction = -1, end =0.9,
-                     name="Priority", 
-                     breaks = c(1, max(map5_test$SAR_rank_feow)),
-                     labels=c("high", "low"))+
-  annotation_north_arrow(location = "br", which_north = "true")+
-  theme_minimal()+
-  theme(legend.position = c(0.75, 0.06), legend.direction = "horizontal")+
-  guides(fill = guide_colourbar(reverse = TRUE, title.position = "top", title.hjust =0.5))+
-  ggtitle("Priority watersheds for species at risk management",
-          subtitle = "rank within freshwater ecoregions")
-
-#3.2 national priorities for SAR - level 5
-ggplot() +
-  layer_spatial(map5_test, aes(fill = rank(-SAR_score)), col = "white", alpha=1)+
-  scale_fill_viridis(option = "magma", direction = -1, end =0.9,
-                     name="Priority", 
-                     breaks = c(1, max(rank(-map5_test$SAR_score))), 
-                     labels=c("high", "low") )+
-  annotation_north_arrow(location = "br", which_north = "true")+
-  theme_minimal()+
-  theme(legend.position = c(0.75, 0.06), legend.direction = "horizontal")+
-  guides(fill = guide_colourbar(reverse = TRUE, title.position = "top", title.hjust =0.5))+
-  ggtitle("Priority watersheds for species at risk management",
-          subtitle = "national ranks")
-
-
-####################################
-##4. plotting AIS priorities
-#4.1 regional priorities for AIS - level 5
-ggplot() +
-  layer_spatial(map5_test, aes(fill = AIS_rank_feow), col = "white", alpha=1)+
-  layer_spatial(feow_test, fill="transparent", color ="black", linewidth = 0.8)+
-  scale_fill_viridis(option = "magma", direction = -1, end =0.9,
-                     name="Priority", 
-                     breaks = c(1, max(map5_test$AIS_rank_feow)),
-                     labels=c("high", "low"))+
-  annotation_north_arrow(location = "br", which_north = "true")+
-  theme_minimal()+
-  theme(legend.position = c(0.75, 0.06), legend.direction = "horizontal")+
-  guides(fill = guide_colourbar(reverse = TRUE, title.position = "top", title.hjust =0.5))+
-  ggtitle("Priority watersheds for aquatic invasive species management",
-          subtitle = "rank within freshwater ecoregions")
-
-#4.2 national priorities for AIS - level 5
-ggplot() +
-  layer_spatial(map5_test, aes(fill = rank(-AIS_score)), col = "white", alpha=1)+
-  scale_fill_viridis(option = "magma", direction = -1, end =0.9,
-                     name="Priority", 
-                     breaks = c(1, max(rank(-map5_test$AIS_score))), 
-                     labels=c("high", "low") )+
-  annotation_north_arrow(location = "br", which_north = "true")+
-  theme_minimal()+
-  theme(legend.position = c(0.75, 0.06), legend.direction = "horizontal")+
-  guides(fill = guide_colourbar(reverse = TRUE, title.position = "top", title.hjust =0.5))+
-  ggtitle("Priority watersheds for aquatic invasive species management",
-          subtitle = "national ranks")
-
-
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B749795B b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B749795B
deleted file mode 100644
index 320d04d..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B749795B
+++ /dev/null
@@ -1,26 +0,0 @@
-{
-    "id": "B749795B",
-    "path": "/cloud/project/Analysis_v5.R",
-    "project_path": "Analysis_v5.R",
-    "type": "r_source",
-    "hash": "0",
-    "contents": "",
-    "dirty": false,
-    "created": 1676648989695.0,
-    "source_on_save": false,
-    "relative_order": 3,
-    "properties": {
-        "source_window_id": "",
-        "Source": "Source",
-        "cursorPosition": "10,0",
-        "scrollLine": "0"
-    },
-    "folds": "",
-    "lastKnownWriteTime": 1676919114,
-    "encoding": "UTF-8",
-    "collab_server": "",
-    "source_window": "",
-    "last_content_update": 1676919114011,
-    "read_only": false,
-    "read_only_alternatives": []
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B749795B-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B749795B-contents
deleted file mode 100644
index 43be596..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/B749795B-contents
+++ /dev/null
@@ -1,77 +0,0 @@
-require(tidyverse)
-
-###read weightings
-weights = read_csv("Co_author_weightings.csv")
-
-med_weights = weights %>% select(-Co_author) %>% 
-  summarise_all(median) %>% 
-  pivot_longer(cols = everything(), names_to="Variable", values_to="Weight")
-
-###
-data5 = read_csv("Hybas5_data.csv")
-
-#priorities for Protected areas
-data5 = data5 %>%
-       mutate(protection_score = WSI_n*med_weights$Weight[1]+
-                                 FBCI_n*med_weights$Weight[2]+
-                                 CCI_n*med_weights$Weight[3]+
-                                 SARI_n*med_weights$Weight[4]+
-                                 Fish_richness_n*med_weights$Weight[5]+
-                                 Priority_n*med_weights$Weight[6])
-#ranked within FEOW
-data5 = data5 %>% 
-  arrange(FEOW_ID, -protection_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(Prot_rank_feow=row_number())
-
-#priorities for restoration
-data5 = data5 %>%
-  mutate(restoration_score = WSI_n*med_weights$Weight[7]+
-           FBCI_n*med_weights$Weight[8]+
-           CCI_n*med_weights$Weight[9]+
-           SARI_n*med_weights$Weight[10]+
-           Fish_richness_n*med_weights$Weight[11]+
-           Priority_n*med_weights$Weight[12])
-
-#ranked within FEOW
-data5 = data5 %>% ungroup() %>%
-  arrange(FEOW_ID, -restoration_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(Rest_rank_feow=row_number())
-
-
-#priorities for SAR
-data5 = data5 %>%
-  mutate(SAR_score = WSI_n*med_weights$Weight[13]+
-           FBCI_n*med_weights$Weight[14]+
-           CCI_n*med_weights$Weight[15]+
-           SARI_n*med_weights$Weight[16]+
-           Fish_richness_n*med_weights$Weight[17]+
-           Priority_n*med_weights$Weight[18])
-
-#ranked within FEOW
-data5 = data5 %>% ungroup() %>%
-  arrange(FEOW_ID, -SAR_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(SAR_rank_feow=row_number())
-
-#priorities for AIS
-data5 = data5 %>%
-  mutate(AIS_score = WSI_n*med_weights$Weight[19]+
-           FBCI_n*med_weights$Weight[20]+
-           CCI_n*med_weights$Weight[21]+
-           SARI_n*med_weights$Weight[22]+
-           Fish_richness_n*med_weights$Weight[23]+
-           Priority_n*med_weights$Weight[24])
-
-#ranked within FEOW
-data5 = data5 %>% ungroup() %>%
-  arrange(FEOW_ID, -AIS_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(AIS_rank_feow=row_number())
-
-write_csv(data5, "watershed_prioritization_level5.csv")
-rm(list=ls())
-
-##########################################################################
-
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/C7A851C6-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/C7A851C6-contents
deleted file mode 100644
index dde32a1..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/C7A851C6-contents
+++ /dev/null
@@ -1,439 +0,0 @@
-HYBAS_ID,Acipenser_brevirostrum,Acipenser_medirostris,Acrocheilus_alutaceus,Alosa_aestivalis,Alosa_pseudoharengus,Alosa_sapidissima,Ambloplites_rupestris,Ameiurus_melas,Ameiurus_natalis,Ameiurus_nebulosus,Amia_calva,Ammocrypta_pellucida,Anguilla_rostrata,Apeltes_quadracus,Aplodinotus_grunniens,Campostoma_anomalum,Carassius_auratus,Carassius_gibelio,Carpiodes_cyprinus,Catostomus_catostomus,Catostomus_columbianus,Catostomus_commersonii,Catostomus_macrocheilus,Chrosomus_eos,Chrosomus_neogaeus,Clinostomus_elongatus,Coregonus_artedi,Coregonus_autumnalis,Coregonus_laurettae,Coregonus_nasus,Coregonus_sardinella,Cottus_asper,Cottus_bairdi,Cottus_cognatus,Cottus_confusus,Cottus_hubbsi,Cottus_rhotheus,Cottus_ricei,Cottus_spp,Culaea_inconstans,Cyprinella_spiloptera,Cyprinus_carpio,Dorosoma_cepedianum,Entosphenus_macrostomus,Entosphenus_tridentatus,Erimystax_x_punctatus,Erimyzon_sucetta,Esox_americanus,Esox_lucius,Esox_masquinongy,Esox_niger,Etheostoma_blennioides,Etheostoma_caeruleum,Etheostoma_exile,Etheostoma_flabellare,Etheostoma_microperca,Etheostoma_nigrum,Etheostoma_olmstedi,Exoglossum_maxillingua,Fundulus_heteroclitus,Gasterosteus_wheatlandi,Hiodon_alosoides,Hiodon_tergisus,Hybognathus_argyritis,Hybognathus_hankinsoni,Hybognathus_placitus,Hybognathus_regius,Hypentelium_nigricans,Hypomesus_olidus,Ichthyomyzon_castaneus,Ictalurus_punctatus,Labidesthes_sicculus,Lampetra_ayresi,Lepisosteus_oculatus,Lepisosteus_osseus,Lepomis_auritus,Lepomis_cyanellus,Lepomis_gibbosus,Lepomis_humilis,Lepomis_macrochirus,Lethenteron_alaskense,Lethenteron_appendix,Lethenteron_camtschaticum,Lota_lota,Luxilus_chrysocephalus,Luxilus_cornutus,Lythrurus_umbratilis,Margariscus_margarita,Microgadus_tomcod,Micropterus_dolomieu,Micropterus_salmoides,Minytrema_melanops,Morone_americana,Morone_chrysops,Moxostoma_anisurum,Moxostoma_carinatum,Moxostoma_duquesnei,Moxostoma_erythrurum,Moxostoma_macrolepidotum,Moxostoma_valenciennesi,Mylocheilus_caurinus,Myoxocephalus_quadricornis,Neogobius_melanostomus,Nocomis_biguttatus,Nocomis_micropogon,Notemigonus_crysoleucas,Notropis_anogenus,Notropis_atherinoides,Notropis_bifrenatus,Notropis_blennius,Notropis_buchanani,Notropis_dorsalis,Notropis_heterodon,Notropis_heterolepis,Notropis_hudsonius,Notropis_percobromus,Notropis_photogenis,Notropis_rubellus,Notropis_stramineus,Notropis_texanus,Notropis_volucellus,Noturus_flavus,Noturus_gyrinus,Noturus_insignis,Noturus_miurus,Noturus_stigmosus,Oncorhynchus_clarkii,Oncorhynchus_gorbuscha,Oncorhynchus_keta,Opsopoeodus_emiliae,Osmerus_dentex,Pantosteus_bondi,Pantosteus_jordani,Perca_flavescens,Percina_caprodes,Percina_maculata,Percopsis_omiscomaycus,Petromyzon_marinus,Pimephales_notatus,Pimephales_promelas,Platygobio_gracilis,Pomoxis_annularis,Pomoxis_nigromaculatus,Prosopium_cylindraceum,Prosopium_williamsoni,Proterorhinus_marmoratus,Ptychocheilus_oregonensis,Pungitius_pungitius,Pylodictis_olivaris,Rhinichthys_atratulus,Rhinichthys_cataractae,Rhinichthys_falcatus,Rhinichthys_obtusus,Rhinichthys_osculus,Rhinichthys_umatilla,Richardsonius_balteatus,Salmo_trutta,Salvelinus_alpinus,Salvelinus_fontinalis,Salvelinus_namaycush,Sander_canadensis,Sander_vitreus,Scardinius_erythrophthalmus,Semotilus_atromaculatus,Semotilus_corporalis,Spirinchus_thaleichthys,Stenodus_leucichthys,Thaleichthys_pacificus,Thymallus_arcticus,Tinca_tinca,Umbra_limi,Moxostoma_hubbsi,Gasterosteus_aculeatus,Ichthyomyzon_fossor,Ichthyomyzon_unicuspis,Ictiobus_cyprinellus,Lampetra_richardsoni,Lepomis_peltastes,Macrhybopsis_storeriana,Morone_saxatilis,Myoxocephalus_thompsoni,Oncorhynchus_kisutch,Oncorhynchus_mykiss,Oncorhynchus_nerka,Acipenser_fulvescens,Acipenser_oxyrhynchus,Acipenser_transmontanus,Coregonus_clupeaformis,Coregonus_huntsmani,Cottus_aleuticus,Couesius_plumbeus,Fundulus_diaphanus,Fundulus_notatus,Salvelinus_malma,Salvelinus_confluentus,Prosopium_coulterii,Percina_copelandi,Osmerus_mordax,Salmo_salar,Oncorhynchus_tshawytscha,Percina_shumardi
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diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/D3637904-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/D3637904-contents
deleted file mode 100644
index 303a3f2..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/D3637904-contents
+++ /dev/null
@@ -1,79 +0,0 @@
-require(tidyverse)
-require(sf)
-require(leaflet)
-
-atlas = read_csv("Spp_dist_HYBAS6.csv")
-
-###10 species to deal with
-
-new_atlas = atlas %>% select(-c(Coregonus_kiyi, Coregonus_reighardi, Coregonus_zenithicus, Lepomis_gulosus))
-
-####
-new_atlas = new_atlas %>% 
-  mutate(Catostomus_catostomus = ifelse(Catostomus_sp. == 2, 2, Catostomus_catostomus) )
-
-table(new_atlas$Catostomus_catostomus)
-
-new_atlas <- new_atlas %>% select(-Catostomus_sp.)
-
-####
-new_atlas = new_atlas %>% 
-  mutate(Coregonus_artedi = ifelse(Coregonus_sp. == 2, 2, Coregonus_artedi) )
-
-table(new_atlas$Coregonus_artedi)
-
-new_atlas <- new_atlas %>% select(-Coregonus_sp.)
-
-###
-new_atlas = new_atlas %>% 
-  mutate(Cottus_spp = ifelse(Cottus_bondi == 2, 2, Cottus_spp) )
-
-table(new_atlas$Cottus_spp)
-
-new_atlas <- new_atlas %>% select(-Cottus_bondi)
-
-###
-new_atlas = new_atlas %>% 
-  mutate(Esox_americanus = ifelse(Esox_americanus_vermiculatus == 2, 2, Esox_americanus) )
-
-table(new_atlas$Esox_americanus)
-
-new_atlas <- new_atlas %>% select(-Esox_americanus_vermiculatus)
-
-######
-new_atlas = new_atlas %>% 
-  mutate(Oncorhynchus_clarkii = ifelse(Oncorhynchus_clarkii_lewisi == 2, 2, Oncorhynchus_clarkii) )
-
-table(new_atlas$Oncorhynchus_clarkii)
-
-new_atlas <- new_atlas %>% select(-Oncorhynchus_clarkii_lewisi)
-
-##########
-
-new_atlas = new_atlas %>% 
-  mutate(Pantosteus_bondi = ifelse(
-    (Pantosteus_bondi == 1 & Catostomus_platyrhynchus == 2), 2, Pantosteus_bondi) )
-
-table(new_atlas$Pantosteus_bondi)
-
-new_atlas = new_atlas %>% 
-  mutate(Pantosteus_jordani = ifelse(
-    (Pantosteus_jordani == 1 & Catostomus_platyrhynchus == 2), 2, Pantosteus_jordani) )
-
-table(new_atlas$Pantosteus_jordani)
-
-table(new_atlas$Catostomus_platyrhynchus)
-
-new_atlas$Pantosteus_bondi[which(new_atlas$HYBAS_ID == 7060334780)] <- 2
-
-new_atlas <- new_atlas %>% select(-Catostomus_platyrhynchus)
-
-###
-write_csv(new_atlas, "Spp_dist_HYBAS6_20230125.csv")
-
-###
-old_sp = colnames(old)[-1]
-new_sp = colnames(new_atlas)[-1]
-
-new_sp[!new_sp %in% old_sp]
-
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/DB95DAD6-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/DB95DAD6-contents
deleted file mode 100644
index f536ace..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/DB95DAD6-contents
+++ /dev/null
@@ -1,60 +0,0 @@
-require(readxl)
-require(tidyverse)
-setwd("C:/Users/DeyC/Desktop/Cody Work/GLLFAS Round 2/Projects/KBA - Watershed prioritization/Data")
-
-fishPA5 = read_csv("Spp_dist_HYBAS5_20230125.csv")
-
-fishPA5[fishPA5 == 2]<-1 #change the SAR indicator of '2' to a presence indicator of '1'
-
-Pvals = fishPA5 %>% summarize_all(.funs = "mean") 
-Pvals = as_vector(Pvals)
-Pvals = Pvals[-1]
-Qvals = 1-Pvals
-TotalQ = sum(Qvals)
-
-#
-Ivals = fishPA5
-for(i in 2:ncol(Ivals)){
-  Ivals[i] <- Ivals[i]*Qvals[i-1]
-}
-
-Ivals = Ivals %>% rowwise() %>% 
-  mutate(QijSij = sum(c_across(Acipenser_brevirostrum:Percina_shumardi))) %>%
-  mutate(richness = sum(c_across(Acipenser_brevirostrum:Percina_shumardi) > 0 ))
- 
-Ivals = Ivals %>% mutate(Ii = QijSij / TotalQ) %>% mutate(Qi = QijSij / richness)
-
-towrite = Ivals %>% select(HYBAS_ID, Ii, Qi)
-
-write_csv(towrite, "H5_importance_priority.csv")
-
-####################Hydrobasin lvl 6
-#fishPA6 = read_excel(path = "NEM_spp_x_hyB.xlsx",
- #                    sheet = "Hybas_level6")
-
-fishPA6 = read_csv("Spp_dist_HYBAS6_20230125.csv")
-
-fishPA6[fishPA6 == 2]<-1 #change the SAR indicator of '2' to a presence indicator of '1'
-
-
-Pvals = fishPA6 %>% summarize_all(.funs = "mean") 
-Pvals = as_vector(Pvals)
-Pvals = Pvals[-1]
-Qvals = 1-Pvals
-TotalQ = sum(Qvals)
-
-#
-Ivals = fishPA6
-for(i in 2:ncol(Ivals)){
-  Ivals[i] <- Ivals[i]*Qvals[i-1]
-}
-
-Ivals = Ivals %>% rowwise() %>% 
-  mutate(QijSij = sum(c_across(Acipenser_brevirostrum:Percina_shumardi))) %>%
-  mutate(richness = sum(c_across(Acipenser_brevirostrum:Percina_shumardi) > 0 ))
-
-Ivals = Ivals %>% mutate(Ii = QijSij / TotalQ) %>% mutate(Qi = QijSij / richness)
-
-towrite = Ivals %>% select(HYBAS_ID, Ii, Qi)
-
-write_csv(towrite, "H6_importance_priority.csv")
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/F83C14F3 b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/F83C14F3
deleted file mode 100644
index 6fa9120..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/F83C14F3
+++ /dev/null
@@ -1,26 +0,0 @@
-{
-    "id": "F83C14F3",
-    "path": "/cloud/project/data carpentry_lvl5.R",
-    "project_path": "data carpentry_lvl5.R",
-    "type": "r_source",
-    "hash": "0",
-    "contents": "",
-    "dirty": false,
-    "created": 1674843264660.0,
-    "source_on_save": false,
-    "relative_order": 2,
-    "properties": {
-        "source_window_id": "",
-        "Source": "Source",
-        "cursorPosition": "71,0",
-        "scrollLine": "0"
-    },
-    "folds": "",
-    "lastKnownWriteTime": 1676662583,
-    "encoding": "UTF-8",
-    "collab_server": "",
-    "source_window": "",
-    "last_content_update": 1676662583428,
-    "read_only": false,
-    "read_only_alternatives": []
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/F83C14F3-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/F83C14F3-contents
deleted file mode 100644
index b21aa94..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/F83C14F3-contents
+++ /dev/null
@@ -1,74 +0,0 @@
-require(tidyverse)
-require(readxl)
-require(viridis)
-require(ggmap)
-
-###bring in WSI and CCI
-data5 = read_csv("HyC_5_df.csv")
-data5 = data5 %>% select(HYBAS_ID, 
-                         MEAN_INT_1,  #WSI measures 
-                         rcp45_55) ##Climate measure
-
-##Bring in fish community importance and priority data
-IQ5 = read_csv("H5_importance_priority.csv")
-data5 = left_join(data5, IQ5, by = "HYBAS_ID")
-data5 = data5 %>% select(-Ii)
-
-##Bring in FCBI 
-FBCI5 = read_csv("FBCI_level5_270123.csv")
-tmp5 = FBCI5 %>% select(HYBAS_ID, Jaccard.D)
-data5 = left_join(data5, tmp5, by = "HYBAS_ID")
-
-###########
-#Calculate SARI and Richness
-fishPA5 = read_csv("Spp_dist_HYBAS5_20230125.csv")
-fishPA5$SAR_count = NA
-fishPA5$pSAR = NA
-fishPA5$total_richness = NA
-
-for(i in 1:nrow(fishPA5)){
-  fishPA5$SAR_count[i] = length(which(fishPA5[i,] == 2))
-  fishPA5$total_richness[i] = length(which(fishPA5[i,] > 0))
-  fishPA5$pSAR[i] =  length(which(fishPA5[i,] == 2)) / length(which(fishPA5[i,] %in% c(1,2)))                              
-}
-
-
-###
-tmp = fishPA5 %>% select(HYBAS_ID, SAR_count, total_richness)
-data5 = left_join(data5, tmp, by="HYBAS_ID")
-
-colnames(data5)<- c("HYBAS_ID", 
-                   "WSI",  #is just HStress
-                   "CCI",  #is rcp45_55
-                   "Fish_priority", 
-                   "FBCI",
-                   "SARI",  #is count of SAR
-                   "Fish_richness") #Is total richness
-
-#Standardize
-data5 = data5 %>%
-  mutate(FBCI_n = (100* (FBCI-min(FBCI)) / ( max(FBCI)-min(FBCI) )  ) ) %>%
-  mutate(WSI_n = (100* (WSI-min(WSI)) / ( max(WSI)-min(WSI) )  ) ) %>%
-  mutate(CCI_n = (100* (CCI-min(CCI)) / ( max(CCI)-min(CCI) )  ) ) %>%
-  mutate(Priority_n = (100* (Fish_priority-min(Fish_priority)) / ( max(Fish_priority)-min(Fish_priority) )  ) ) %>%
-  mutate(SARI_n = (100* (SARI-min(SARI)) / ( max(SARI)-min(SARI) )  ) ) %>%
-  mutate(Fish_richness_n = (100* (Fish_richness-min(Fish_richness)) / ( max(Fish_richness)-min(Fish_richness) )  ) )
-
-#join with feow
-feow5 = read_csv("hyc_5_feow_join.csv")
-data5 = left_join(data5, feow5, by = "HYBAS_ID")
-
-#drop unneeded columns
-data5 = data5 %>% select(c(HYBAS_ID, FEOW_ID,
-                          WSI_n,
-                          FBCI_n,
-                          CCI_n, 
-                          SARI_n,
-                          Fish_richness_n,
-                          Priority_n
-                          ))
-
-
-write_csv(data5, "Hybas5_data.csv")
-
-
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/FD8A18BA-contents b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/FD8A18BA-contents
deleted file mode 100644
index ee6364a..0000000
--- a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/FD8A18BA-contents
+++ /dev/null
@@ -1,265 +0,0 @@
-require(tidyverse)
-require(gridExtra)
-
-
-
-#Figure 2
-
-x = seq(0,1,0.01)
-y_lin = -1*x+1
-
-L=1
-k=12
-xo=0.7
-y_sig1 =  L/  (1+exp(-k*(xo-x)))
-
-
-A<-ggplot()+
-  annotate("rect", fill = "green", alpha = 0.1, 
-           xmin = 0, xmax = 0.56,
-           ymin = -Inf, ymax = Inf) +
-  annotate("rect", fill = "red", alpha = 0.1, 
-           xmin = 0.56, xmax = Inf,
-           ymin = -Inf, ymax = Inf) +
-  geom_hline(aes(yintercept=0.85), linetype="dashed", color="grey")+
-  geom_vline(aes(xintercept=0.56), linetype="dashed", color="black")+
-  geom_line(aes(x=x, y=y_sig1), linewidth=1.2)+
-  geom_text(aes(x=0.99, y=0.88, label = "objectif de gestion"), hjust=1, angle=0, size=3, color="grey")+
-  geom_text(aes(x=0.53, y=0, hjust=0, label = "seuil de déclaration"), angle =90, size=3)+
-  scale_y_continuous(expand = c(0.01,0), limits = c(0,1.05)) + scale_x_continuous(expand = c(0,0))+
-  ylab("Variable de gestion")+
-  xlab(" ")+
-  theme_bw()+
-  theme(panel.grid = element_blank(),
-        axis.text = element_blank(),
-        axis.ticks = element_blank(),
-        axis.title.x = element_blank())+
-  ggtitle("A")
-
-A
-
-B<-ggplot()+
-  annotate("rect", fill = "green", alpha = 0.1, 
-           xmin = 0, xmax = 0.36,
-           ymin = -Inf, ymax = Inf) +
-  annotate("rect", fill = "yellow", alpha = 0.1, 
-           xmin = 0.36, xmax = 0.56,
-           ymin = -Inf, ymax = Inf) +
-  annotate("rect", fill = "red", alpha = 0.1, 
-           xmin = 0.56, xmax = Inf,
-           ymin = -Inf, ymax = Inf) +
-  geom_hline(aes(yintercept=0.85), linetype="dashed", color="grey")+
-  geom_vline(aes(xintercept=0.56), linetype="dashed", color="black")+
-  geom_vline(aes(xintercept=0.36), linetype="dashed", color="black")+
-  geom_line(aes(x=x, y=y_sig1), size=1.2)+
-  geom_text(aes(x=0.99, y=0.88, label = "objectif de gestion"), hjust=1, angle=0, size=3, color="grey")+
-  geom_text(aes(x=0.53, y=0, hjust=0, label = "seuil de déclaration principal"), angle =90, size=3)+
-  geom_text(aes(x=0.33, y=0, hjust=0, label = "seuil de déclaration préventif"), angle =90, size=3)+
- 
-  scale_y_continuous(expand = c(0.01,0), limits = c(0,1.05)) + scale_x_continuous(expand = c(0,0))+
-  ylab(" ")+
-  xlab(" ")+
-  theme_bw()+
-  theme(panel.grid = element_blank(),
-        axis.text = element_blank(),
-        axis.ticks = element_blank(),
-        axis.title.x = element_blank())+
-  ggtitle("B")
-
-B
-
-
-grid.arrange(A,B, nrow=1,
-bottom = "Mesure de l’état du poisson et de son habitat (p. ex., niveau de perturbation)")
-
-
-
-
-
-#FIGURE 3
-
-x = seq(0,1,0.01)
-y_lin = -1*x+1
-
-L=1
-k=12
-xo=0.5
-y_sig1 =  L/  (1+exp(-k*(xo-x)))
-
-##A
-
-A<-ggplot()+
-  geom_hline(aes(yintercept=0.75), linetype="dashed", color="grey")+
-  geom_line(aes(x=x, y=y_sig1), size=1.2)+
-  geom_segment(aes(
-    x=0.4, xend=0.40,
-    y=0, yend=0.75),
-    linetype="dashed")+
-  geom_text(aes(x=0.99, y=0.78, label = "objectif de gestion"), hjust=1, angle=0, size=3, color="grey")+
-   geom_text(aes(x=0.37, y=0, hjust=0, label = "seuil écologique/de déclaration"), angle =90, size=3)+
-  scale_y_continuous(expand = c(0.01,0), limits = c(0,1.05)) + scale_x_continuous(expand = c(0,0))+
-  ylab("Variable de gestion")+
-  xlab("")+
-  theme_bw()+
-  theme(panel.grid = element_blank(),
-        axis.text = element_blank(),
-        axis.ticks = element_blank(),
-        axis.title.x = element_blank())+
-  ggtitle("A")
-
-
-####B
-
-B<-ggplot()+
-  geom_hline(aes(yintercept=0.75), linetype="dashed", color="grey")+
-  geom_line(aes(x=x, y=y_lin), size=1.2)+
-  geom_text(aes(x=0.99, y=0.78, label = "objectif de gestion"),
-            angle=0, size=3, color="grey", hjust=1)+
-  geom_segment(aes(
-    x=0.25, xend=0.25,
-    y=0, yend=0.75),
-  linetype="dashed")+
-  geom_text(aes(x=0.22, y=0, hjust=0,label = "seuil de déclaration"), angle =90, size=3)+
-  scale_y_continuous(expand = c(0.01,0), limits = c(0,1.05)) + scale_x_continuous(expand = c(0,0))+
-  ylab("")+
-  xlab("")+
-  theme_bw()+
-  theme(panel.grid = element_blank(),
-        axis.text = element_blank(),
-        axis.ticks = element_blank(),
-        axis.title.x = element_blank())+
-  ggtitle("B")
-
-
-#####################C
-L=0.15
-k=50
-xo=0.5
-y_sig2 = 0.85+ L/  (1+exp(-k*(xo-x)))
-
-C<-ggplot()+
-  geom_hline(aes(yintercept=0.75), linetype="dashed", color="grey")+
-  geom_text(aes(x=0.99, y=0.78, label = "objectif de gestion"), 
-            angle=0, size=3, color="grey", hjust=1)+
-  geom_line(aes(x=x, y=y_sig2), size=1.2)+
-  scale_y_continuous(expand = c(0.01,0), limits = c(0,1.05)) + scale_x_continuous(expand = c(0,0))+
-  ylab("")+
-  geom_segment(aes(x=0.47, xend=0.47, y=0, yend=0.97), linetype="dashed")+
-  geom_text(aes(x=0.44, y=0, label = "seuil écologique"), 
-            angle =90, size=3, hjust=0)+
-  
-  xlab("")+
-  theme_bw()+
-  theme(panel.grid = element_blank(),
-        axis.text = element_blank(),
-        axis.ticks = element_blank(),
-        axis.title.x = element_blank())+
-  ggtitle("C")
-
-
-
-
-
-grid.arrange(A,B,C, nrow=1,
-             bottom = "Mesure de l’état du poisson et de son habitat (p. ex., niveau de perturbation)")
-###############################
-
-#####################
-#Example of Metrics
-
-mydata = tibble(data = runif(27, 0, 0.9))
-        
-ggplot()+
-  annotate("rect", fill = "green", alpha = 0.1, 
-           xmin = 0, xmax = 0.25,
-           ymin = -Inf, ymax = Inf) +
-  annotate("rect", fill = "yellow", alpha = 0.1, 
-           xmin = 0.25, xmax = 0.5,
-           ymin = -Inf, ymax = Inf) +
-  annotate("rect", fill = "red", alpha = 0.1, 
-           xmin = 0.5, xmax = 1,
-           ymin = -Inf, ymax = Inf) +
-  geom_vline(aes(xintercept = 0.25), linetype = "dashed")+
-  geom_vline(aes(xintercept = 0.5), linetype = "dashed")+
-   geom_point(data=mydata, aes(x=data, y=1.5), 
-             position = position_jitter(w=0,h=0.1), color ="grey", size=4)+
-  geom_point(aes(x=0.21, y=1.5), 
-             position = position_jitter(w=0,h=0.1), color ="black", size=6.5)+
-  xlab("Proportion of samples with chloride below guidelines")+
-  scale_y_continuous(limits = c(1.4,1.6))+
-  scale_x_continuous(limits = c(0,1), expand=c(0,0),breaks = c(0,1),
-                     labels = c("0","1"))+
-  theme_classic()+
-   theme(axis.text.y = element_blank(),
-        axis.title.y=element_blank(),
-        panel.grid = element_blank(),
-        axis.title.x=element_text(margin = margin(t=-3)),
-        axis.line.y.left = element_blank(),
-        axis.ticks.y = element_blank())
-ggsave("chloride.jpg", device="jpg", height = 3, width = 6, units = "in" )
-
-###
-mydata = tibble(data = abs(rnorm(27, mean =0, sd = 0.5)))
-
-ggplot()+
-  annotate("rect", fill = "green", alpha = 0.1, 
-           xmin = 0, xmax = 0.15,
-           ymin = -Inf, ymax = Inf) +
-  annotate("rect", fill = "yellow", alpha = 0.1, 
-           xmin = 0.15, xmax = 0.35,
-           ymin = -Inf, ymax = Inf) +
-  annotate("rect", fill = "red", alpha = 0.1, 
-           xmin = 0.35, xmax = 1,
-           ymin = -Inf, ymax = Inf) +
-  geom_vline(aes(xintercept = 0.15), linetype = "dashed")+
-  geom_vline(aes(xintercept = 0.35), linetype = "dashed")+
-  geom_point(data=mydata, aes(x=data, y=1.5), 
-             position = position_jitter(w=0,h=0.1), color ="grey", size=4)+
-  geom_point(aes(x=0.31, y=1.5), 
-             position = position_jitter(w=0,h=0.1), color ="black", size=6.5)+
-  xlab("Mean change in water temperature")+
-  scale_y_continuous(limits = c(1.4,1.6))+
-  scale_x_continuous(limits = c(0,1), expand=c(0,0), breaks = c(0,1), labels = c("  0?C","5?C  "))+
-  theme_classic()+
-  theme(axis.text.y = element_blank(),
-        axis.title.y=element_blank(),
-        panel.grid = element_blank(),
-        axis.title.x=element_text(margin = margin(t=-3)),
-        axis.line.y.left = element_blank(),
-        axis.ticks.y = element_blank())
-ggsave("water_temp.jpg", device="jpg", height = 3, width = 6, units = "in" )
-
-
-###
-mydata = tibble(data = abs(runif(27, 0.1, 0.9)))
-
-ggplot()+
-  annotate("rect", fill = "green", alpha = 0.1, 
-           xmin = 0, xmax = 0.25,
-           ymin = -Inf, ymax = Inf) +
-  annotate("rect", fill = "yellow", alpha = 0.1, 
-           xmin = 0.25, xmax = 0.5,
-           ymin = -Inf, ymax = Inf) +
-  annotate("rect", fill = "red", alpha = 0.1, 
-           xmin = 0.5, xmax = 1,
-           ymin = -Inf, ymax = Inf) +
-  geom_vline(aes(xintercept = 0.25), linetype = "dashed")+
-  geom_vline(aes(xintercept = 0.5), linetype = "dashed")+
-  geom_point(data=mydata, aes(x=data, y=1.5), 
-             position = position_jitter(w=0,h=0.1), color ="grey", size=4)+
-  geom_point(aes(x=0.31, y=1.5), 
-             position = position_jitter(w=0,h=0.1), color ="black", size=6.5)+
-  xlab("Proportion of samples with dissolved oxygen below guidelines")+
-  scale_y_continuous(limits = c(1.4,1.6))+
-  scale_x_continuous(limits = c(0,1), expand=c(0,0), breaks = c(0,1),
-                     labels = c("0","1"))+
-  theme_classic()+
-  theme(axis.text.y = element_blank(),
-        axis.title.y=element_blank(),
-        axis.title.x=element_text(margin = margin(t=-3)),
-        panel.grid = element_blank(),
-        axis.line.y.left = element_blank(),
-        axis.ticks.y = element_blank())
-ggsave("oxygen.jpg", device="jpg", height = 3, width = 6, units = "in" )
-
-            
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/E8595228/sources/session-998ca583/suspend_file b/Analysis/.Rproj.user/E8595228/sources/session-998ca583/suspend_file
deleted file mode 100644
index e69de29..0000000
diff --git a/Analysis/.Rproj.user/pcs/files-pane.pper b/Analysis/.Rproj.user/pcs/files-pane.pper
deleted file mode 100644
index 280b85e..0000000
--- a/Analysis/.Rproj.user/pcs/files-pane.pper
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "sortOrder": [
-        {
-            "columnIndex": 2,
-            "ascending": true
-        }
-    ],
-    "path": "/cloud/project"
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/pcs/source-pane.pper b/Analysis/.Rproj.user/pcs/source-pane.pper
deleted file mode 100644
index 902cc6f..0000000
--- a/Analysis/.Rproj.user/pcs/source-pane.pper
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "activeTab": 0
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/pcs/windowlayoutstate.pper b/Analysis/.Rproj.user/pcs/windowlayoutstate.pper
deleted file mode 100644
index 31eb331..0000000
--- a/Analysis/.Rproj.user/pcs/windowlayoutstate.pper
+++ /dev/null
@@ -1,14 +0,0 @@
-{
-    "left": {
-        "splitterpos": 277,
-        "topwindowstate": "NORMAL",
-        "panelheight": 598,
-        "windowheight": 672
-    },
-    "right": {
-        "splitterpos": 416,
-        "topwindowstate": "NORMAL",
-        "panelheight": 598,
-        "windowheight": 672
-    }
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/pcs/workbench-pane.pper b/Analysis/.Rproj.user/pcs/workbench-pane.pper
deleted file mode 100644
index d3c7634..0000000
--- a/Analysis/.Rproj.user/pcs/workbench-pane.pper
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-    "TabSet1": 0,
-    "TabSet2": 1,
-    "TabZoom": {}
-}
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/persistent-state b/Analysis/.Rproj.user/persistent-state
deleted file mode 100644
index e6274ed..0000000
--- a/Analysis/.Rproj.user/persistent-state
+++ /dev/null
@@ -1,11 +0,0 @@
-activeClientUrl="https://fc14cc3caea24daca1d4cdbf66fac50f.app.posit.cloud/"
-build-last-errors="[]"
-build-last-errors-base-dir=""
-build-last-outputs="[]"
-compile_pdf_state="{\"tab_visible\":false,\"running\":false,\"target_file\":\"\",\"output\":\"\",\"errors\":[]}"
-displayName="freshwater.fish.habitat@gmail.com"
-files.monitored-path=""
-find-in-files-state="{\"handle\":\"\",\"input\":\"\",\"path\":\"\",\"regex\":false,\"ignoreCase\":false,\"results\":{\"file\":[],\"line\":[],\"lineValue\":[],\"matchOn\":[],\"matchOff\":[],\"replaceMatchOn\":[],\"replaceMatchOff\":[]},\"running\":false,\"replace\":false,\"preview\":false,\"gitFlag\":false,\"replacePattern\":\"\"}"
-imageDirtyState="1"
-portToken="84eb62163447"
-saveActionState="-1"
diff --git a/Analysis/.Rproj.user/shared/RVersion b/Analysis/.Rproj.user/shared/RVersion
deleted file mode 100644
index 078bf8b..0000000
--- a/Analysis/.Rproj.user/shared/RVersion
+++ /dev/null
@@ -1 +0,0 @@
-4.2.2
\ No newline at end of file
diff --git a/Analysis/.Rproj.user/shared/notebooks/patch-chunk-names b/Analysis/.Rproj.user/shared/notebooks/patch-chunk-names
deleted file mode 100644
index e69de29..0000000
diff --git a/Analysis/.Rproj.user/shared/notebooks/paths b/Analysis/.Rproj.user/shared/notebooks/paths
deleted file mode 100644
index 3916fca..0000000
--- a/Analysis/.Rproj.user/shared/notebooks/paths
+++ /dev/null
@@ -1,4 +0,0 @@
-/cloud/project/Results_plots.R="A46562BF"
-/cloud/project/calculate I and Q.R="EA6EB908"
-/cloud/project/data carpentry_lvl6.R="F52F9DE0"
-/cloud/project/hyC_5_join_shp_Lamb_up.cpg="17A16603"
diff --git a/Analysis/Applying weights.R b/Analysis/Applying weights.R
deleted file mode 100644
index 877c033..0000000
--- a/Analysis/Applying weights.R	
+++ /dev/null
@@ -1,153 +0,0 @@
-require(tidyverse)
-
-###read weightings
-weights = read_csv("Co_author_weightings.csv")
-
-med_weights = weights %>% select(-Co_author) %>% 
-  summarise_all(median) %>% 
-  pivot_longer(cols = everything(), names_to="Variable", values_to="Weight")
-
-###
-data5 = read_csv("Hybas5_data.csv")
-
-#priorities for Protected areas
-data5 = data5 %>%
-       mutate(protection_score = WSI_n*med_weights$Weight[1]+
-                                 FBCI_n*med_weights$Weight[2]+
-                                 CCI_n*med_weights$Weight[3]+
-                                 SARI_n*med_weights$Weight[4]+
-                                 Fish_richness_n*med_weights$Weight[5]+
-                                 Priority_n*med_weights$Weight[6])
-#ranked within FEOW
-data5 = data5 %>% 
-  arrange(FEOW_ID, -protection_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(Prot_rank_feow=row_number())
-
-#priorities for restoration
-data5 = data5 %>%
-  mutate(restoration_score = WSI_n*med_weights$Weight[7]+
-           FBCI_n*med_weights$Weight[8]+
-           CCI_n*med_weights$Weight[9]+
-           SARI_n*med_weights$Weight[10]+
-           Fish_richness_n*med_weights$Weight[11]+
-           Priority_n*med_weights$Weight[12])
-
-#ranked within FEOW
-data5 = data5 %>% ungroup() %>%
-  arrange(FEOW_ID, -restoration_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(Rest_rank_feow=row_number())
-
-
-#priorities for SAR
-data5 = data5 %>%
-  mutate(SAR_score = WSI_n*med_weights$Weight[13]+
-           FBCI_n*med_weights$Weight[14]+
-           CCI_n*med_weights$Weight[15]+
-           SARI_n*med_weights$Weight[16]+
-           Fish_richness_n*med_weights$Weight[17]+
-           Priority_n*med_weights$Weight[18])
-
-#ranked within FEOW
-data5 = data5 %>% ungroup() %>%
-  arrange(FEOW_ID, -SAR_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(SAR_rank_feow=row_number())
-
-#priorities for AIS
-data5 = data5 %>%
-  mutate(AIS_score = WSI_n*med_weights$Weight[19]+
-           FBCI_n*med_weights$Weight[20]+
-           CCI_n*med_weights$Weight[21]+
-           SARI_n*med_weights$Weight[22]+
-           Fish_richness_n*med_weights$Weight[23]+
-           Priority_n*med_weights$Weight[24])
-
-#ranked within FEOW
-data5 = data5 %>% ungroup() %>%
-  arrange(FEOW_ID, -AIS_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(AIS_rank_feow=row_number())
-
-write_csv(data5, "watershed_prioritization_level5.csv")
-rm(list=ls())
-
-##########################################################################
-#Level 6
-###read weightings
-weights = read_csv("Co_author_weightings.csv")
-
-med_weights = weights %>% select(-Co_author) %>% 
-  summarise_all(median) %>% 
-  pivot_longer(cols = everything(), names_to="Variable", values_to="Weight")
-
-
-data6 = read_csv("Hybas6_data.csv")
-
-#priorities for Protected areas
-data6 = data6 %>%
-  mutate(protection_score = WSI_n*med_weights$Weight[1]+
-           FBCI_n*med_weights$Weight[2]+
-           CCI_n*med_weights$Weight[3]+
-           SARI_n*med_weights$Weight[4]+
-           Fish_richness_n*med_weights$Weight[5]+
-           Priority_n*med_weights$Weight[6])
-#ranked within FEOW
-data6 = data6 %>% 
-  arrange(FEOW_ID, -protection_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(Prot_rank_feow=row_number())
-
-#priorities for restoration
-data6 = data6 %>%
-  mutate(restoration_score = WSI_n*med_weights$Weight[7]+
-           FBCI_n*med_weights$Weight[8]+
-           CCI_n*med_weights$Weight[9]+
-           SARI_n*med_weights$Weight[10]+
-           Fish_richness_n*med_weights$Weight[11]+
-           Priority_n*med_weights$Weight[12])
-
-#ranked within FEOW
-data6 = data6 %>% ungroup() %>%
-  arrange(FEOW_ID, -restoration_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(Rest_rank_feow=row_number())
-
-
-#priorities for SAR
-data6 = data6 %>%
-  mutate(SAR_score = WSI_n*med_weights$Weight[13]+
-           FBCI_n*med_weights$Weight[14]+
-           CCI_n*med_weights$Weight[15]+
-           SARI_n*med_weights$Weight[16]+
-           Fish_richness_n*med_weights$Weight[17]+
-           Priority_n*med_weights$Weight[18])
-
-#ranked within FEOW
-data6 = data6 %>% ungroup() %>%
-  arrange(FEOW_ID, -SAR_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(SAR_rank_feow=row_number())
-
-#priorities for AIS
-data6 = data6 %>%
-  mutate(AIS_score = WSI_n*med_weights$Weight[19]+
-           FBCI_n*med_weights$Weight[20]+
-           CCI_n*med_weights$Weight[21]+
-           SARI_n*med_weights$Weight[22]+
-           Fish_richness_n*med_weights$Weight[23]+
-           Priority_n*med_weights$Weight[24])
-
-#ranked within FEOW
-data6 = data6 %>% ungroup() %>%
-  arrange(FEOW_ID, -AIS_score) %>% 
-  group_by(FEOW_ID) %>% 
-  mutate(AIS_rank_feow=row_number())
-
-write_csv(data6, "watershed_prioritization_level6.csv")
-rm(list=ls())
-
-
-
-
diff --git a/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shp.WLONBUR9070240.13564.14144.sr.lock b/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shp.WLONBUR9070240.13564.14144.sr.lock
deleted file mode 100644
index e69de29..0000000
diff --git a/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shp.WLONBUR9070240.4148.14144.sr.lock b/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shp.WLONBUR9070240.4148.14144.sr.lock
deleted file mode 100644
index e69de29..0000000
diff --git a/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shp.WLONBUR9070240.6096.14144.sr.lock b/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shp.WLONBUR9070240.6096.14144.sr.lock
deleted file mode 100644
index e69de29..0000000
diff --git a/Analysis/ProtectedAreas_shp/temp b/Analysis/ProtectedAreas_shp/temp
deleted file mode 100644
index 8b13789..0000000
--- a/Analysis/ProtectedAreas_shp/temp
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/DESCRIPTION b/DESCRIPTION
new file mode 100644
index 0000000..3b9efa9
--- /dev/null
+++ b/DESCRIPTION
@@ -0,0 +1,41 @@
+Package: watershedPrioritization
+Type: Package
+Title: Priortize Watersheds Within Canada
+Date: 2025-02-03
+Version: 0.0.0.9002
+Authors@R: c(
+    person("Cindy", "Chu", email = "Cindy.Chu@dfo-mpo.gc.ca", role = c("aut", "cre")),
+    person("inSileco Inc", comment = "https://insileco.io/", role = c("aut"))
+    )
+Maintainer: Cindy Chu <Cindy.Chu@dfo-mpo.gc.ca>
+Description: Priortize watersheds within Canada for four freshwater fish conservation objectives.
+Encoding: UTF-8
+License: MIT + file LICENSE
+Roxygen: list(markdown = TRUE)
+Depends:
+    R (>= 4.2)
+Imports:
+    cli (>= 3.6.3),
+	dplyr (>= 1.1.4),
+	fs (>= 1.6.5),
+	ggbeeswarm (>= 0.7.2),
+	ggplot2 (>= 3.5.1),
+	ggpubr (>= 0.6.0),
+    purrr (>= 1.0.2),
+	readr (>= 2.1.5),
+	readxl (>= 1.4.3),
+	sf (>= 1.0-18),
+    tidyr (>= 1.3.1),
+	viridis (>= 0.6.5)
+Suggests:
+    htmltools (>= 0.5.8.1),
+    leaflet (>= 2.2.2),
+    rsconnect (>= 1.3.2),
+    shiny (>= 1.9.1),
+    shinyWidgets (>= 0.8.7),
+    shinybusy (>= 0.3.3),
+    shinythemes (>= 1.2.0),
+    testthat (>= 3.0.0)
+RoxygenNote: 7.3.2
+LazyLoad: yes
+Config/testthat/edition: 3
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000..77e6a75
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,2 @@
+YEAR: 2024
+COPYRIGHT HOLDER: watershedPrioritization authors
diff --git a/LICENSE.md b/LICENSE.md
new file mode 100644
index 0000000..726002c
--- /dev/null
+++ b/LICENSE.md
@@ -0,0 +1,21 @@
+# MIT License
+
+Copyright (c) 2024 watershedPrioritization authors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/NAMESPACE b/NAMESPACE
new file mode 100644
index 0000000..d727685
--- /dev/null
+++ b/NAMESPACE
@@ -0,0 +1,9 @@
+# Generated by roxygen2: do not edit by hand
+
+export(apply_weight)
+export(compute_fish_priority_index)
+export(feow_scaling)
+export(generate_priorization_data)
+export(get_results)
+export(run_pipeline)
+import(ggplot2)
diff --git a/R/apply_weight.R b/R/apply_weight.R
new file mode 100644
index 0000000..c21a62b
--- /dev/null
+++ b/R/apply_weight.R
@@ -0,0 +1,93 @@
+#' Applying expert weight
+#' 
+#' Median values of expert weights used to generate weighted-scores for:
+#' * Area-based protection 
+#' * Restoration
+#' * SAR management 
+#' * Invasive species management 
+#'
+#' @return
+#'  write `watershed_prioritization_level6.csv`
+#'
+#' @export
+
+apply_weight <- function() {
+  ### read weightings data
+  weights <- path_input_data("Co_author_weightings.csv") |>
+    readr::read_csv(show_col_types = FALSE)
+
+  med_weights <- weights |>
+    dplyr::select(-Co_author) |>
+    dplyr::summarise_all(stats::median) |>
+    tidyr::pivot_longer(
+      cols = dplyr::everything(),
+      names_to = "Variable",
+      values_to = "Weight"
+    )
+
+  # require to execute generate_priorization_data()
+  df_prio_w <- path_output_data("watershed_prioritization_no_weight.csv") |>
+    readr::read_csv(show_col_types = FALSE) |>
+    # priorities for Protected areas
+    dplyr::mutate(
+      protection_score =
+        WSI_n * med_weights$Weight[1] +
+        FBCI_n * med_weights$Weight[2] +
+        CCI_n * med_weights$Weight[3] +
+        SARI_n * med_weights$Weight[4] +
+        Fish_richness_n * med_weights$Weight[5] +
+        Priority_n * med_weights$Weight[6]
+      ) |>
+    # ranked within FEOW
+    dplyr::arrange(FEOW_ID, -protection_score) |>
+    dplyr::group_by(FEOW_ID) |>
+    dplyr::mutate(Prot_rank_feow = dplyr::row_number()) |>
+    # priorities for restoration
+    dplyr::mutate(
+      restoration_score = WSI_n * med_weights$Weight[7] +
+        FBCI_n * med_weights$Weight[8] +
+        CCI_n * med_weights$Weight[9] +
+        SARI_n * med_weights$Weight[10] +
+        Fish_richness_n * med_weights$Weight[11] +
+        Priority_n * med_weights$Weight[12]
+    ) |>
+    # ranked within FEOW
+    dplyr::ungroup() |>
+    dplyr::arrange(FEOW_ID, -restoration_score) |>
+    dplyr::group_by(FEOW_ID) |>
+    dplyr::mutate(Rest_rank_feow = dplyr::row_number()) |>
+    # priorities for SAR
+    dplyr::mutate(SAR_score = WSI_n * med_weights$Weight[13] +
+      FBCI_n * med_weights$Weight[14] +
+      CCI_n * med_weights$Weight[15] +
+      SARI_n * med_weights$Weight[16] +
+      Fish_richness_n * med_weights$Weight[17] +
+      Priority_n * med_weights$Weight[18]) |>
+    # ranked within FEOW
+    dplyr::ungroup() |>
+    dplyr::arrange(FEOW_ID, -SAR_score) |>
+    dplyr::group_by(FEOW_ID) |>
+    dplyr::mutate(SAR_rank_feow = dplyr::row_number()) |>
+    # priorities for AIS
+    dplyr::mutate(
+      AIS_score = WSI_n * med_weights$Weight[19] +
+        FBCI_n * med_weights$Weight[20] +
+        CCI_n * med_weights$Weight[21] +
+        SARI_n * med_weights$Weight[22] +
+        Fish_richness_n * med_weights$Weight[23] +
+        Priority_n * med_weights$Weight[24]
+    ) |>
+    # ranked within FEOW
+    dplyr::ungroup() |>
+    dplyr::arrange(FEOW_ID, -AIS_score) |>
+    dplyr::group_by(FEOW_ID) |>
+    dplyr::mutate(AIS_rank_feow = dplyr::row_number())
+  
+  # write csv file
+  readr::write_csv(
+    df_prio_w,
+    path_output_data("watershed_prioritization_level6.csv")
+  )
+
+  df_prio_w
+}
\ No newline at end of file
diff --git a/R/compute_priority.R b/R/compute_priority.R
new file mode 100644
index 0000000..2758877
--- /dev/null
+++ b/R/compute_priority.R
@@ -0,0 +1,55 @@
+#' Calculate rarity indices
+#'
+#' @details
+#' Calculation based on Q index in Minns (1987). 
+#' 
+#' @references 
+#' * Minns, C. K. 'A Method of Ranking Species and Sites for Conservation Using 
+#' Presence-Absence Data and Its Application to Native Freshwater Fish in New 
+#' Zealand. New Zealand Journal of Zoology 14, no. 1 (January 1987): 43–49. 
+#' https://doi.org/10.1080/03014223.1987.10422680.
+#'
+#' @export
+
+compute_fish_priority_index <- function() {
+    fishPA6 <- path_input_data("Spp_dist_HYBAS6_20230125.csv") |>
+        readr::read_csv()
+
+    fishPA6[fishPA6 == 2] <- 1 # change the SAR indicator of '2' to a presence indicator of '1'
+
+    Pvals <- fishPA6 |>
+        dplyr::summarize_all(.funs = "mean")
+    Pvals <- purrr::as_vector(Pvals)
+    Pvals <- Pvals[-1]
+    Qvals <- 1 - Pvals
+    TotalQ <- sum(Qvals)
+
+    #
+    Ivals <- fishPA6
+    for (i in 2:ncol(Ivals)) {
+        Ivals[i] <- Ivals[i] * Qvals[i - 1]
+    }
+
+    Ivals <- Ivals |>
+        dplyr::rowwise() |>
+        dplyr::mutate(
+            QijSij = sum(
+                dplyr::c_across(Acipenser_brevirostrum:Percina_shumardi)
+            ),
+            richness = sum(
+                dplyr::c_across(Acipenser_brevirostrum:Percina_shumardi) > 0
+            )
+        )
+
+    Ivals <- Ivals |>
+        dplyr::mutate(Ii = QijSij / TotalQ) |>
+        dplyr::mutate(Qi = QijSij / richness)
+
+    hb_lvl6 <- Ivals |> dplyr::select(HYBAS_ID, Ii, Qi)
+    readr::write_csv(
+        hb_lvl6,
+        path_output_data("H6_importance_priority.csv")
+    )
+
+    hb_lvl6
+}
\ No newline at end of file
diff --git a/R/feow_scaling.R b/R/feow_scaling.R
new file mode 100644
index 0000000..50b8669
--- /dev/null
+++ b/R/feow_scaling.R
@@ -0,0 +1,30 @@
+#' FEOW scaling
+#' 
+#' Scaling ranks level 6 hydrobasins within canadian FEOWs (Freshwater 
+#' Ecoregions of the World).
+#' 
+#' @details 
+#' The scaling enables comparison between regions, considering that regions 
+#' have varying numbers of watersheds and, consequently, different value ranges 
+#' for ranking.
+#'
+#' @export
+
+feow_scaling <- function() {
+
+    hyb6r <- path_input_data("level6ranks.csv") |>
+        readr::read_csv()
+
+    hyb6r <- hyb6r |>
+        dplyr::group_by(FEOW_ID) |>
+        dplyr::mutate(
+            Prot_feow_scaled = scale_rank(Prot_rank_feow),
+            Rest_feow_scaled = scale_rank(Rest_rank_feow),
+            SAR_feow_scaled = scale_rank(SAR_rank_feow),
+            AIS_feow_scaled = scale_rank(AIS_rank_feow)
+        )
+
+    readr::write_csv(hyb6r, file = path_output_data("hyb6feowscaled.csv"))
+    hyb6r
+}
+
diff --git a/R/generate_priorization.R b/R/generate_priorization.R
new file mode 100644
index 0000000..892d16e
--- /dev/null
+++ b/R/generate_priorization.R
@@ -0,0 +1,142 @@
+#' Generate prirization main data frame.
+#'
+#' @details
+#' Note that raw data are embeded in the R package in `extdata` folder.
+#'
+#' @return
+#' A data frame with the following columns:
+#' * HYBAS_ID: Hydrobassin identifier ,
+#' * FEOW_ID: Freshwater Ecoregions of the World identifier,
+#' * WSI_n: Watershed stress index from Hirsh-Pearson (2022),
+#' * FBCI_n: Fish biodiversity change index. Calculate Jaccard dissimilarity
+#' for native spp pool vs. current native + non-native spp pool.
+#' * CCI_n: Climate change velocities based on CMIP6 SSP2-4.5 forward
+#' velocities for 2040-2070 period.
+#' * SARI_n: Species at risk management
+#' * Fish_richness_n: Species richness.
+#' * Priority_n: Index of priority based on Minns rarity index (1987).
+#' Bote that columns ending with `_n` are normalized.
+#'
+#'
+#' @references
+#' * Hirsh-Pearson, Kristen, Chris J. Johnson, Richard Schuster, Roger D.
+#' Wheate, and Oscar Venter. 'Canada’s Human Footprint Reveals Large Intact
+#' Areas Juxtaposed against Areas under Immense Anthropogenic Pressure.' Edited
+#' by Raymond Bradley. FACETS 7 (January 1, 2022): 398–419.
+#' https://doi.org/10.1139/facets-2021-0063.
+#' * Minns, C. K. 'A Method of Ranking Species and Sites for Conservation Using
+#' Presence-Absence Data and Its Application to Native Freshwater Fish in New
+#' Zealand. New Zealand Journal of Zoology 14, no. 1 (January 1987): 43–49.
+#' https://doi.org/10.1080/03014223.1987.10422680.
+#'
+#' @export
+
+generate_priorization_data <- function() {
+    #------------ Climate and stress data
+    ws_data <- path_input_data("Variable_data_20241018.xlsx")
+    df_prio <- ws_data |>
+        readxl::read_xlsx(sheet = "H6_climate") |>
+        dplyr::select(HYBAS6_ID, Stress, Climate) |>
+        dplyr::rename(
+            HYBAS_ID = HYBAS6_ID,
+            CCI = Climate,
+            WSI = Stress
+        ) |>
+        #------------ Fish community importance and priority data
+        dplyr::left_join(
+            path_input_data("H6_importance_priority.csv") |>
+                readr::read_csv(show_col_types = FALSE) |>
+                dplyr::select(-Ii) |>
+                dplyr::rename(Fish_priority = Qi),
+            by = "HYBAS_ID"
+        ) |>
+        #------------ Fish biodiversity
+        dplyr::left_join(
+            ws_data |>
+                readxl::read_xlsx(sheet = "H6FishChange") |>
+                dplyr::select(HYBAS6_ID, Jaccard.D) |>
+                dplyr::rename(
+                    HYBAS_ID = HYBAS6_ID,
+                    FBCI = Jaccard.D
+                ),
+            by = "HYBAS_ID"
+        ) |>
+        #------------ Protected Area overlap
+        dplyr::left_join(
+            path_input_data("protected_area_overlap.csv") |>
+                readr::read_csv(show_col_types = FALSE) |>
+                dplyr::select(HYBAS_ID, perc_overlap) |>
+                dplyr::rename(
+                    Protected_area = perc_overlap
+                ),
+            by = "HYBAS_ID"
+        )
+
+    #------------ Calculate SARI and Richness
+    fishPA6 <- path_input_data("Spp_dist_HYBAS6_20230125.csv") |>
+        readr::read_csv(show_col_types = FALSE)
+    # remove hydrobasin id name
+    fishPA6_nohbid <- fishPA6 |>
+        dplyr::select(-c(HYBAS_ID))
+    fishPA6 <- fishPA6 |>
+        dplyr::mutate(
+            SARI = rowSums(fishPA6_nohbid == 2),
+            Fish_richness = rowSums(fishPA6_nohbid > 0)
+        )
+    # join with df_prio
+    df_prio <- df_prio |>
+        dplyr::left_join(
+            fishPA6 |>
+                dplyr::select(HYBAS_ID, SARI, Fish_richness),
+            by = "HYBAS_ID"
+        )
+
+
+
+    df_prio <- df_prio |>
+        # check and remove NA
+        dplyr::filter(
+            !is.na(FBCI),
+            !is.na(WSI),
+            !is.na(CCI),
+            !is.na(Fish_priority),
+            !is.na(Protected_area),
+            !is.na(SARI),
+            !is.na(Fish_richness)
+        ) |>
+        # Normalizing indices
+        dplyr::mutate(
+            FBCI_n = scale_min_max(FBCI),
+            WSI_n = scale_min_max(WSI),
+            CCI_n = scale_min_max(CCI),
+            Priority_n = scale_min_max(Fish_priority),
+            Protected_area_n = scale_min_max(Protected_area),
+            SARI_n = scale_min_max(SARI),
+            Fish_richness_n = scale_min_max(Fish_richness)
+        ) |>
+        # join with feow
+        dplyr::left_join(
+            path_input_data("hyc_6_feow_join.csv") |>
+                readr::read_csv(show_col_types = FALSE),
+            by = "HYBAS_ID"
+        )
+
+    # write csv file
+    readr::write_csv(
+        df_prio,
+        path_output_data("watershed_prioritization_no_weight.csv")
+    )
+
+    # select final columns
+    df_prio |> dplyr::select(
+        HYBAS_ID,
+        FEOW_ID,
+        WSI_n,
+        FBCI_n,
+        CCI_n,
+        SARI_n,
+        Protected_area_n,
+        Fish_richness_n,
+        Priority_n
+    )
+}
diff --git a/R/pipeline.R b/R/pipeline.R
new file mode 100644
index 0000000..782408b
--- /dev/null
+++ b/R/pipeline.R
@@ -0,0 +1,28 @@
+#' Pipeline
+#' 
+#' This function runs all the steps the reproduce the analysis.
+#' 
+#' @export
+
+run_pipeline <- function() {    
+    #------------------------ (not used - data are in extdata)
+    cli::cli_progress_step("Compute fish priority index")
+    suppressMessages(compute_fish_priority_index())
+    cli::cli_progress_done()
+    #------------------------
+    cli::cli_progress_step("Generate Priorization data set")
+    suppressMessages(generate_priorization_data())
+    cli::cli_progress_done()
+    #------------------------
+    cli::cli_progress_step("Applying co-author weight")
+    suppressMessages(apply_weight())
+    cli::cli_progress_done()
+    #------------------------
+    cli::cli_progress_step("Scaling")
+    suppressMessages(feow_scaling())
+    cli::cli_progress_done()
+    #------------------------
+    cli::cli_progress_step("Results")
+    get_results()
+    cli::cli_progress_done()
+}
\ No newline at end of file
diff --git a/R/results.R b/R/results.R
new file mode 100644
index 0000000..118679c
--- /dev/null
+++ b/R/results.R
@@ -0,0 +1,787 @@
+#' Results
+#'
+#' @import ggplot2
+#'
+#' @export
+
+get_results <- function() {
+    cli::cli_progress_step("now loading data", "loading done", "loading failed")
+    suppressMessages({
+        weights <- path_input_data("Co_author_weightings.csv") |>
+            readr::read_csv(show_col_types = FALSE)
+        data6 <- path_output_data("watershed_prioritization_level6.csv") |>
+            readr::read_csv(show_col_types = FALSE)
+        feow <- path_input_data("FEOW_CAN_Extent/FEOW__CAN_Extent.shp") |>
+            sf::read_sf()
+        map5 <- path_input_data("map5.gpkg") |>
+            sf::read_sf()
+        map6 <- path_input_data("map6.gpkg") |>
+            sf::read_sf()
+    })
+    cli::cli_progress_done()
+
+
+    ############
+    # Scale ranks within FEOW to number of FEOW
+    ###########
+    cli::cli_progress_step("now scaling", "scaling done", "scaling failed")
+    maxrank <- max(map6$Prot_rank_feow - 1)
+    map6 <- map6 |>
+        dplyr::group_by(FEOW_ID) |>
+        dplyr::mutate(Prot_rank_feow_scaled = scale_rank(Prot_rank_feow))
+
+    maxrank <- max(map6$Rest_rank_feow - 1)
+    map6 <- map6 |>
+        dplyr::group_by(FEOW_ID) |>
+        dplyr::mutate(Rest_rank_feow_scaled = scale_rank(Rest_rank_feow))
+
+    maxrank <- max(map6$SAR_rank_feow - 1)
+    map6 <- map6 |>
+        dplyr::group_by(FEOW_ID) |>
+        dplyr::mutate(SAR_rank_feow_scaled = scale_rank(SAR_rank_feow))
+
+    maxrank <- max(map6$AIS_rank_feow - 1)
+    map6 <- map6 |>
+        dplyr::group_by(FEOW_ID) |>
+        dplyr::mutate(AIS_rank_feow_scaled = scale_rank(AIS_rank_feow))
+    cli::cli_progress_done()
+
+
+    ############
+    # Coauthor weightings plot
+    ##########
+    cli::cli_progress_step("now drawing fig 1", "fig 1 done", "fig 1 failed")
+    pdata1 <- weights[, c(1:6)]
+    pdata1 <- tidyr::pivot_longer(pdata1, cols = starts_with("Weight for"))
+    pdata1$name <- rep(c(
+        "Watershed stress", "Community change", "Climate change",
+        "Species at risk", "Species richness", "Species rarity"
+    ), 8)
+    sumpdata1 <- pdata1 |>
+        dplyr::group_by(name) |>
+        dplyr::summarize(med = median(value))
+
+    p1 <- ggplot() +
+        geom_hline(aes(yintercept = 0), color = "black", linetype = 2) +
+        ggbeeswarm::geom_beeswarm(data = pdata1, aes(x = name, y = value), size = 2) +
+        # geom_beeswarm(data=pdata1, aes(x=reorder(name, value, median),  y = value), size=2)+
+        geom_point(data = sumpdata1, aes(x = name, y = med), color = "red", alpha = 0.7, size = 6) +
+        scale_y_continuous(breaks = c(-4, -2, 0, 2, 4), limits = c(-5.5, 5.5)) +
+        ylab("Weight") +
+        xlab("") +
+        coord_flip() +
+        theme_minimal() +
+        ggtitle("Area-based protection") +
+        theme(legend.position = "bottom", legend.title = element_blank()) +
+        theme(
+            plot.title = element_text(hjust = 0.5),
+            panel.grid.major.x = element_blank(),
+            panel.grid.minor.x = element_blank()
+        )
+
+    pdata2 <- weights[, c(7:12)]
+    pdata2 <- tidyr::pivot_longer(pdata2, cols = starts_with("Weight for"))
+    pdata2$name <- rep(c(
+        "Watershed stress", "Community change", "Climate change",
+        "Species at risk", "Species richness", "Species rarity"
+    ), 8)
+    sumpdata2 <- pdata2 |>
+        dplyr::group_by(name) |>
+        dplyr::summarize(med = median(value))
+
+    p2 <- ggplot() +
+        geom_hline(aes(yintercept = 0), color = "black", linetype = 2) +
+        ggbeeswarm::geom_beeswarm(data = pdata2, aes(x = name, y = value), size = 2) +
+        geom_point(data = sumpdata2, aes(x = name, y = med), color = "red", alpha = 0.7, size = 6) +
+        scale_y_continuous(breaks = c(-4, -2, 0, 2, 4), limits = c(-5.5, 5.5)) +
+        ylab("Weight") +
+        xlab("") +
+        coord_flip() +
+        theme_minimal() +
+        ggtitle("Habitat restoration") +
+        theme(legend.position = "bottom", legend.title = element_blank()) +
+        theme(
+            plot.title = element_text(hjust = 0.5),
+            panel.grid.major.x = element_blank(),
+            panel.grid.minor.x = element_blank()
+        )
+
+    pdata3 <- weights[, c(13:18)]
+    pdata3 <- tidyr::pivot_longer(pdata3, cols = starts_with("Weight for"))
+    pdata3$name <- rep(c(
+        "Watershed stress", "Community change", "Climate change",
+        "Species at risk", "Species richness", "Species rarity"
+    ), 8)
+    sumpdata3 <- pdata3 |>
+        dplyr::group_by(name) |>
+        dplyr::summarize(med = median(value))
+
+    p3 <- ggplot() +
+        geom_hline(aes(yintercept = 0), color = "black", linetype = 2) +
+        ggbeeswarm::geom_beeswarm(data = pdata3, aes(x = name, y = value), size = 2) +
+        geom_point(data = sumpdata3, aes(x = name, y = med), color = "red", alpha = 0.7, size = 6) +
+        scale_y_continuous(breaks = c(-4, -2, 0, 2, 4), limits = c(-5.5, 5.5)) +
+        ylab("Weight") +
+        xlab("") +
+        coord_flip() +
+        theme_minimal() +
+        ggtitle("Species at risk management") +
+        theme(legend.position = "bottom", legend.title = element_blank()) +
+        theme(
+            plot.title = element_text(hjust = 0.5),
+            panel.grid.major.x = element_blank(),
+            panel.grid.minor.x = element_blank()
+        )
+
+    pdata4 <- weights[, c(19:24)]
+    pdata4 <- tidyr::pivot_longer(pdata4, cols = starts_with("Weight for"))
+    pdata4$name <- rep(c(
+        "Watershed stress", "Community change", "Climate change",
+        "Species at risk", "Species richness", "Species rarity"
+    ), 8)
+    sumpdata4 <- pdata4 |>
+        dplyr::group_by(name) |>
+        dplyr::summarize(med = median(value))
+
+    p4 <- ggplot() +
+        geom_hline(aes(yintercept = 0), color = "black", linetype = 2) +
+        ggbeeswarm::geom_beeswarm(data = pdata4, aes(x = name, y = value), size = 2) +
+        geom_point(data = sumpdata4, aes(x = name, y = med), color = "red", alpha = 0.7, size = 6) +
+        scale_y_continuous(breaks = c(-4, -2, 0, 2, 4), limits = c(-5.5, 5.5)) +
+        ylab("Weight") +
+        xlab("") +
+        coord_flip() +
+        theme_minimal() +
+        ggtitle("Invasive species management") +
+        theme(legend.position = "bottom", legend.title = element_blank()) +
+        theme(
+            plot.title = element_text(hjust = 0.5),
+            panel.grid.major.x = element_blank(),
+            panel.grid.minor.x = element_blank()
+        )
+
+    ggpubr::ggarrange(p1, p2, p3, p4, ncol = 2, nrow = 2) # Write the grid.arrange in the file
+    ggsave(path_output_fig("coauthor_weightings.png"), width = 12, height = 8.5, units = "in", dpi = 100)
+    cli::cli_progress_done()
+
+
+
+    ###########
+    # Hydrobasin 6 index values
+    ############
+    cli::cli_progress_step("now drawing fig 2", "fig 2 done", "fig 2 failed")
+    S2_A <- ggplot() +
+        geom_sf(data = map6, aes(fill = WSI_n, col = WSI_n), alpha = 1) +
+        viridis::scale_color_viridis(option = "viridis") +
+        viridis::scale_fill_viridis(
+            option = "viridis",
+            breaks = c(0, 25, 50, 75, 100)
+        ) +
+        theme_minimal() +
+        # ggtitle("Watershed stress")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    S2_B <- ggplot() +
+        geom_sf(data = map6, aes(fill = SARI_n, col = SARI_n), alpha = 1) +
+        viridis::scale_color_viridis(option = "viridis") +
+        viridis::scale_fill_viridis(
+            option = "viridis",
+            breaks = c(0, 25, 50, 75, 100)
+        ) +
+        theme_minimal() +
+        # ggtitle("Fish species at risk richness")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    S2_C <- ggplot() +
+        geom_sf(data = map6, aes(fill = Fish_richness_n, col = Fish_richness_n), alpha = 1) +
+        viridis::scale_color_viridis(option = "viridis") +
+        viridis::scale_fill_viridis(
+            option = "viridis",
+            breaks = c(0, 25, 50, 75, 100)
+        ) +
+        theme_minimal() +
+        # ggtitle("Fish species richness")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    S2_D <- ggplot() +
+        geom_sf(data = map6, aes(fill = Priority_n, col = Priority_n), alpha = 1) +
+        viridis::scale_color_viridis(option = "viridis") +
+        viridis::scale_fill_viridis(
+            option = "viridis",
+            breaks = c(0, 25, 50, 75, 100)
+        ) +
+        theme_minimal() +
+        # ggtitle("Fish rarity")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    S2_E <- ggplot() +
+        geom_sf(data = map6, aes(fill = FBCI_n, col = FBCI_n), alpha = 1) +
+        viridis::scale_color_viridis(option = "viridis") +
+        viridis::scale_fill_viridis(
+            option = "viridis",
+            breaks = c(0, 25, 50, 75, 100)
+        ) +
+        theme_minimal() +
+        # ggtitle("Fish biodiversity change")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    S2_F <- ggplot() +
+        geom_sf(data = map6, aes(fill = CCI_n, col = CCI_n), alpha = 1) +
+        viridis::scale_color_viridis(option = "viridis") +
+        viridis::scale_fill_viridis(
+            option = "viridis",
+            breaks = c(0, 25, 50, 75, 100)
+        ) +
+        theme_minimal() +
+        # ggtitle("Climate change")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+
+    ggpubr::ggarrange(
+        S2_A, S2_B,
+        S2_C, S2_D,
+        S2_E, S2_F,
+        labels = c("Watershed stress", "Species at risk", "Species richness", "Species rarity", "Community change", "Climate change"),
+        font.label = list(size = 10, face = "plain", color = "black"), 
+        hjust = -0.15, vjust = 1.8,
+        ncol = 2, nrow = 3, common.legend = TRUE,
+        legend = "bottom"
+    ) # Write the grid.arrange in the file
+    ggsave(path_output_fig("normalized_index_values.png"), width = 7.5, height = 9, units = "in", dpi = 100) # Open a new png file
+    cli::cli_progress_done()
+
+
+
+    ## ------------------------------
+    ## Priorities within ecoregions
+    ## ------------------------------
+    cli::cli_progress_step("now drawing fig 3", "fig 3 done", "fig 3 failed")
+    data <- map6
+
+    #
+    A1 <- ggplot() +
+        geom_sf(data = data, aes(fill = Prot_rank_feow_scaled, col = Prot_rank_feow_scaled), alpha = 1) +
+        viridis::scale_color_viridis(guide = "none", end = 0.9, direction = -1, option = "magma") +
+        viridis::scale_fill_viridis(
+            alpha = 1, end = 0.9, direction = -1, option = "magma",
+            breaks = c(1, median(data$Prot_rank_feow_scaled), max(data$Prot_rank_feow_scaled)),
+            labels = c("High", "Medium", "Low")
+        ) +
+        # geom_sf(data=feow, fill = "transparent", color ="black", linewidth =0.1)+
+        theme_minimal() +
+        # ggtitle("Area-based protection")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    #
+    B1 <- ggplot() +
+        geom_sf(data = data, aes(fill = Rest_rank_feow_scaled, col = Rest_rank_feow_scaled), alpha = 1) +
+        viridis::scale_color_viridis(guide = "none", end = 0.9, direction = -1, option = "magma") +
+        viridis::scale_fill_viridis(
+            alpha = 1, end = 0.9, direction = -1, option = "magma",
+            breaks = c(1, median(data$Rest_rank_feow_scaled), max(data$Rest_rank_feow_scaled)),
+            labels = c("High", "Medium", "Low")
+        ) +
+        # geom_sf(data=feow, fill = "transparent", color ="black", linewidth =0.1)+
+        theme_minimal() +
+        # ggtitle("Area-based protection")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    #
+    C1 <- ggplot() +
+        geom_sf(data = data, aes(fill = SAR_rank_feow_scaled, col = SAR_rank_feow_scaled), alpha = 1) +
+        viridis::scale_color_viridis(guide = "none", end = 0.9, direction = -1, option = "magma") +
+        viridis::scale_fill_viridis(
+            alpha = 1, end = 0.9, direction = -1, option = "magma",
+            breaks = c(1, median(data$SAR_rank_feow_scaled), max(data$SAR_rank_feow_scaled)),
+            labels = c("High", "Medium", "Low")
+        ) +
+        # geom_sf(data=feow, fill = "transparent", color ="black", linewidth =0.1)+
+        theme_minimal() +
+        # ggtitle("Area-based protection")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    #
+    D1 <- ggplot() +
+        geom_sf(data = data, aes(fill = AIS_rank_feow_scaled, col = AIS_rank_feow_scaled), alpha = 1) +
+        viridis::scale_color_viridis(guide = "none", end = 0.9, direction = -1, option = "magma") +
+        viridis::scale_fill_viridis(
+            alpha = 1, end = 0.9, direction = -1, option = "magma",
+            breaks = c(1, median(data$AIS_rank_feow_scaled), max(data$AIS_rank_feow_scaled)),
+            labels = c("High", "Medium", "Low")
+        ) +
+        # geom_sf(data=feow, fill = "transparent", color ="black", linewidth =0.1)+
+        theme_minimal() +
+        # ggtitle("Area-based protection")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    ggpubr::ggarrange(A1, B1, C1, D1,
+        ncol = 2, nrow = 2, common.legend = TRUE,
+        labels = c("Area-based protection", "Habitat restoration", "Species at risk\n management", "Invasive species\n management"),
+        font.label = list(size = 10, face = "plain", color = "black"),
+        hjust = -0.25, vjust = 1.8,
+        legend = "bottom"
+    ) # Write the grid.arrange in the file
+    ggsave(path_output_fig("priorities_by_feow.png"), width = 8.5, height = 6, units = "in", dpi = 300) # Open a new png file
+    cli::cli_progress_done()
+
+
+    ## -----------------------------------
+    ## Analysis of priorities within FEOW
+    ## -----------------------------------
+
+    # map6 |>
+    #     st_drop_geometry() |>
+    #     ungroup() |>
+    #     dplyr::group_by(FEOW_ID) |>
+    #     summarise(SAR_p = max(SARI_n)) |>
+    #     print(n = Inf)
+    # # two ecoregions with no SAR (111, 112)
+
+    # map6 |>
+    #     st_drop_geometry() |>
+    #     ungroup() |>
+    #     dplyr::group_by(FEOW_ID) |>
+    #     summarise(SAR_p = max(FBCI_n)) |>
+    #     print(n = Inf)
+
+
+
+
+    ###################
+    # Hydrobasin 6 national priorities
+    #################
+    cli::cli_progress_step("now drawing fig 4", "fig 4 done", "fig 4 failed")
+    data <- map6
+    #
+    data$rank <- rank(-data$protection_score)
+    A <- ggplot() +
+        geom_sf(data = data, aes(fill = rank, col = rank), alpha = 1) +
+        viridis::scale_color_viridis(guide = "none", end = 0.9, direction = -1, option = "magma") +
+        viridis::scale_fill_viridis(
+            alpha = 1, end = 0.9, direction = -1, option = "magma",
+            breaks = c(1, median(data$rank), max(data$rank)),
+            labels = c("High", "Medium", "Low")
+        ) +
+        theme_minimal() +
+        # ggtitle("Area-based protection")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+    #
+    data$rank <- rank(-data$restoration_score)
+    B <- ggplot() +
+        geom_sf(data = data, aes(fill = rank, col = rank), alpha = 1) +
+        viridis::scale_color_viridis(guide = "none", end = 0.9, direction = -1, option = "magma") +
+        viridis::scale_fill_viridis(
+            alpha = 1, end = 0.9, direction = -1, option = "magma",
+            breaks = c(1, median(data$rank), max(data$rank)),
+            labels = c("High", "Medium", "Low")
+        ) +
+        theme_minimal() +
+        # ggtitle("Restoration")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+    #
+    data$rank <- rank(-data$SAR_score)
+    C <- ggplot() +
+        geom_sf(data = data, aes(fill = rank, col = rank), alpha = 1) +
+        viridis::scale_color_viridis(guide = "none", end = 0.9, direction = -1, option = "magma") +
+        viridis::scale_fill_viridis(
+            alpha = 1, end = 0.9, direction = -1, option = "magma",
+            breaks = c(1, median(data$rank), max(data$rank)),
+            labels = c("High", "Medium", "Low")
+        ) +
+        theme_minimal() +
+        #  ggtitle("Species at risk management")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+    #
+    data$rank <- rank(-data$AIS_score)
+    D <- ggplot() +
+        geom_sf(data = data, aes(fill = rank, col = rank), alpha = 1) +
+        viridis::scale_color_viridis(guide = "none", end = 0.9, direction = -1, option = "magma") +
+        viridis::scale_fill_viridis(
+            alpha = 1, end = 0.9, direction = -1, option = "magma",
+            breaks = c(1, median(data$rank), max(data$rank)),
+            labels = c("High", "Medium", "Low")
+        ) +
+        theme_minimal() +
+        # ggtitle("Invasive species management")+
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    ggpubr::ggarrange(A, B, C, D,
+        ncol = 2, nrow = 2,
+        common.legend = TRUE,
+        labels = c("Area-based protection", "Habitat restoration", "Species at risk\n management", "Invasive species\n management"),
+        font.label = list(size = 10, face = "plain", color = "black"),
+        hjust = -0.25, vjust = 1.8,
+        legend = "bottom"
+    )
+    ggsave(path_output_fig("national_priorities.png"), width = 8.5, height = 6, units = "in", dpi = 100) # Open a new png file
+    cli::cli_progress_done()
+
+
+
+
+    ##############
+    ### Comparison plots
+    ##############
+    cli::cli_progress_step("now drawing fig 5", "fig 5 done", "fig 5 failed")
+    pal <- c(
+        viridis::viridis_pal(option = "magma")(20)[20],
+        viridis::viridis_pal(option = "viridis")(20)[17],
+        viridis::viridis_pal(option = "magma")(20)[17],
+        "grey90"
+    )
+
+    #
+    data <- map6
+    perc1 <- stats::quantile(data$Prot_rank_feow_scaled)
+    perc2 <- stats::quantile(data$Rest_rank_feow_scaled)
+
+    rects <- dplyr::tibble(
+        xmins = c(1, 1, perc1[2], perc1[2]),
+        xmaxs = c(perc1[2], perc1[2], perc1[5], perc1[5]),
+        ymins = c(1, perc2[2], 1, perc2[2]),
+        ymaxs = c(perc2[2], perc2[5], perc2[2], perc2[5]),
+        fills = c("a", "b", "c", "d")
+    )
+
+    p1 <- ggplot() +
+        geom_rect(data = rects, aes(xmin = xmins, ymin = ymins, xmax = xmaxs, ymax = ymaxs, fill = fills)) +
+        geom_point(data = data, aes(
+            x = Prot_rank_feow_scaled,
+            y = Rest_rank_feow_scaled
+        )) +
+        scale_fill_manual(values = pal) +
+        xlab("Priority for area-based protection") +
+        ylab("Priority for habitat restoration") +
+        scale_y_reverse(
+            breaks = c(11, perc2[5] - 10), labels = c("high", "low")
+        ) +
+        scale_x_reverse(
+            breaks = c(11, perc1[5] - 10), labels = c("high", "low")
+        ) +
+        theme_minimal() +
+        theme(
+            legend.position = "none",
+            panel.grid = element_blank(),
+            axis.text.y = element_text(angle = 90),
+            axis.ticks = element_blank()
+        )
+    p1
+
+    cor(data$Prot_rank_feow_scaled, data$Rest_rank_feow_scaled, method = "spearman")
+
+    data <- data |>
+        dplyr::mutate(wsh_fill = ifelse(
+            Prot_rank_feow_scaled < perc1[2] & Rest_rank_feow_scaled < perc2[2], "a",
+            ifelse(Prot_rank_feow_scaled < perc1[2], "b",
+                ifelse(Rest_rank_feow_scaled < perc2[2], "c", "d")
+            )
+        ))
+
+    length(which(data$wsh_fill == "a")) / length(which(data$wsh_fill %in% c("a", "b", "c")))
+
+    m1 <- ggplot() +
+        geom_sf(data = data, aes(fill = wsh_fill, col = wsh_fill), alpha = 1) +
+        scale_color_manual(
+            guide = "none",
+            values = pal
+        ) +
+        scale_fill_manual(
+            values = pal,
+            guide = "none"
+        ) +
+        geom_sf(data = feow, fill = "transparent", color = "black", linewidth = 0.1) +
+        theme_minimal() +
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    ggpubr::ggarrange(p1, m1, ncol = 2, nrow = 1)
+    ggsave(path_output_fig("protection_vs_restoration.png"), width = 8.5, height = 4, units = "in", dpi = 100) # Open a new png file
+    cli::cli_progress_done()
+
+
+
+    ##
+    cli::cli_progress_step("now drawing fig 6", "fig 6 done", "fig 6 failed")
+    perc1 <- stats::quantile(data$SAR_rank_feow_scaled)
+    perc2 <- stats::quantile(data$AIS_rank_feow_scaled)
+
+    rects <- dplyr::tibble(
+        xmins = c(1, 1, perc1[2], perc1[2]),
+        xmaxs = c(perc1[2], perc1[2], perc1[5], perc1[5]),
+        ymins = c(1, perc2[2], 1, perc2[2]),
+        ymaxs = c(perc2[2], perc2[5], perc2[2], perc2[5]),
+        fills = c("a", "b", "c", "d")
+    )
+
+    stats::cor(data$SAR_rank_feow_scaled, data$AIS_rank_feow_scaled, method = "spearman")
+
+    p2 <- ggplot() +
+        geom_rect(data = rects, aes(xmin = xmins, ymin = ymins, xmax = xmaxs, ymax = ymaxs, fill = fills)) +
+        geom_point(data = data, aes(
+            x = SAR_rank_feow_scaled,
+            y = AIS_rank_feow_scaled
+        )) +
+        scale_fill_manual(values = pal) +
+        xlab("Priority for species at risk management") +
+        ylab("Priority for invasive species management") +
+        scale_y_reverse(
+            breaks = c(11, perc2[5] - 10), labels = c("high", "low")
+        ) +
+        scale_x_reverse(
+            breaks = c(11, perc1[5] - 10), labels = c("high", "low")
+        ) +
+        theme_minimal() +
+        theme(
+            legend.position = "none",
+            panel.grid = element_blank(),
+            axis.text.y = element_text(angle = 90),
+            axis.ticks = element_blank()
+        )
+    p2
+
+    data <- data |>
+        dplyr::mutate(wsh_fill = ifelse(
+            SAR_rank_feow_scaled < perc1[2] & AIS_rank_feow_scaled < perc2[2], "a",
+            ifelse(SAR_rank_feow_scaled < perc1[2], "b",
+                ifelse(AIS_rank_feow_scaled < perc2[2], "c", "d")
+            )
+        ))
+
+    length(which(data$wsh_fill == "a")) / length(which(data$wsh_fill %in% c("a", "b", "c")))
+
+
+    m2 <- ggplot() +
+        geom_sf(data = data, aes(fill = wsh_fill, col = wsh_fill), alpha = 1) +
+        scale_color_manual(
+            guide = "none",
+            values = pal
+        ) +
+        scale_fill_manual(
+            values = pal,
+            guide = "none"
+        ) +
+        geom_sf(data = feow, fill = "transparent", color = "black", linewidth = 0.1) +
+        theme_minimal() +
+        theme(
+            legend.title = element_blank(),
+            plot.title = element_text(hjust = 0.5),
+            axis.title = element_blank(),
+            axis.text = element_blank(),
+            panel.grid = element_blank(),
+            plot.margin = unit(c(-0.5, -1, -0.2, -1), "lines")
+        )
+
+    ggpubr::ggarrange(p2, m2, ncol = 2, nrow = 1)
+    ggsave(path_output_fig("SAR_vs_AIS.png"), width = 8.5, height = 4, units = "in", dpi = 100)
+    cli::cli_process_done()
+
+
+    ## -------------------------
+    ## Comparison analysis
+    ## --------------------------
+
+    newdata <- data |>
+        dplyr::select(ends_with("scaled")) |>
+        sf::st_drop_geometry()
+    pca1 <- prcomp(newdata, scale. = FALSE)
+    head(pca1$rotation)
+    scores <- dplyr::as_tibble(pca1$x)
+
+    p_comp <- ggplot() +
+        geom_point(data = scores, aes(x = PC1, y = PC2))
+
+
+
+    ## -------------------------
+    ## Investigating scale
+    ## --------------------------
+
+    cli::cli_progress_step("now drawing fig 7", "fig 7 done", "fig 7 failed")
+
+    d5 <- map5 |>
+        sf::st_drop_geometry() |>
+        dplyr::ungroup()
+
+    map6 <- map6 |>
+        dplyr::ungroup() |>
+        dplyr::mutate(
+            protection_score5 = d5$protection_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
+            restoration_score5 = d5$restoration_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
+            SAR_score5 = d5$SAR_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
+            AIS_score5 = d5$AIS_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
+        )
+
+    obj <- c("protection", "restoration", "SAR", "AIS")
+    threshold <- seq(0.05, 0.5, 0.01)
+    df <- dplyr::tibble(objective = c(), threshold = c(), ratio = c())
+
+    suppressMessages({
+        for (i in seq_len(length(obj))) {
+            for (j in 1:length(threshold)) {
+                var <- paste0(obj[i], "_score")
+                tmp <- map6 |>
+                    dplyr::ungroup() |>
+                    dplyr::group_by(FEOW_ID) |>
+                    dplyr::arrange(FEOW_ID, desc(!!var)) |>
+                    dplyr::relocate(!!var, .after = last_col()) |>
+                    dplyr::top_frac(n = threshold[j])
+                map6$level6 <- ifelse(map6$HYBAS_ID %in% tmp$HYBAS_ID, 1, 0)
+
+                var2 <- paste0(obj[i], "_score5")
+                tmp <- map6 |>
+                    dplyr::ungroup() |>
+                    dplyr::group_by(FEOW_ID) |>
+                    dplyr::arrange(FEOW_ID, desc(!!var2)) |>
+                    dplyr::relocate(!!var2, .after = last_col()) |>
+                    dplyr::top_frac(n = threshold[j])
+                map6$level5 <- ifelse(map6$HYBAS_ID %in% tmp$HYBAS_ID, 1, 0)
+
+                ratio <- length(which(map6$level6 == 1 & map6$level5 == 0)) / length(which(map6$level6 == 1))
+
+                to_add <- dplyr::tibble(objective = obj[i], threshold = threshold[j], ratio = ratio)
+                df <- dplyr::bind_rows(df, to_add)
+            }
+        }
+    })
+
+    mylabels <- df |>
+        dplyr::filter(threshold == 0.5)
+    mylabels$ratio[which(mylabels$objective == "SAR")] <- 0.24 # nudge
+
+
+    s1 <- ggplot(data = df, aes(x = threshold * 100, y = 100 - (ratio * 100), group = objective, color = objective)) +
+        geom_line(linewidth = 1.5) +
+        theme_minimal() +
+        ylab("Percentage of priority watersheds covered by\nprioritization at larger watershed scale") +
+        scale_x_continuous(
+            name = "Percentage of watersheds prioritized",
+            limits = c(0, 59),
+            breaks = c(10, 20, 30, 40, 50)
+        ) +
+        theme(
+            legend.position = "none",
+            panel.grid.minor = element_blank()
+        ) +
+        geom_text(
+            data = mylabels,
+            aes(
+                x = 50.5,
+                y = 100 - (ratio * 100),
+                label = objective,
+                color = objective
+            ),
+            hjust = 0
+        ) +
+        scale_color_viridis_d(option = "viridis")
+
+    ggpubr::ggarrange(s1, ncol = 1, nrow = 1) # Write the grid.arrange in the file
+    ggsave(path_output_fig("scale_dependency.png"), width = 5, height = 4, units = "in", dpi = 300) # Open a new png file
+    cli::cli_process_done()
+
+
+    invisible(TRUE)
+}
\ No newline at end of file
diff --git a/R/zzz.R b/R/zzz.R
new file mode 100644
index 0000000..88737d5
--- /dev/null
+++ b/R/zzz.R
@@ -0,0 +1,30 @@
+# path helpers
+
+path_input_data <- function(filename) {
+    fs::path_package("watershedPrioritization", "extdata", filename)
+}
+
+path_output_data <- function(filename) {
+    fs::dir_create("output_data")
+    fs::path("output_data", filename)
+}
+
+path_output_fig <- function(filename) {
+    fs::dir_create("figs/v2")
+    fs::path("figs/v2", filename)
+}
+
+
+# scaling helper
+scale_rank <- function(x, mx) {
+    stopifnot(length(x) > 1)
+    ((x - min(x)) / (max(x) - min(x))) * 99 + 1
+}
+# NB: min(x) = 1 as we use rank; scale between 1 and 100
+
+# helper function
+scale_min_max <- function(x) {
+    stopifnot(length(x) > 1)
+    100 * (x - min(x)) / (max(x) - min(x))
+}
+# NB: scale between 0 and 100
\ No newline at end of file
diff --git a/README.md b/README.md
index 162884b..5944ae3 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,37 @@
 # Watershed_prioritization
-This folder includes the data, analyses, and Shiny app built to visualize the results of efforts to priortiize watersheds within Canada for four freshwater fish conservation objectives including: i) area-based protection; ii) habitat restoration; iii) species at risk management; or iv) invasive species management. The prioritizations were based on national spatial data of the richness, rarity, and at-risk status of fishes, the amount of climate change and other watershed stressors, and the degree of fish community change (native vs. current species present within watershed). 
+
+
+This folder includes the data, analyses, and Shiny app built to visualize the results of efforts to priortize watersheds within Canada for four freshwater fish conservation objectives including: 
+- i) area-based protection; 
+- ii) habitat restoration; 
+- iii) species at risk management; or 
+- iv) invasive species management. 
+
+The prioritizations were based on national spatial data of the richness, rarity, and at-risk status of fishes, the amount of climate change and other watershed stressors, and the degree of fish community change (native vs. current species present within watershed). 
+
+
+## Data 
+
+### Inputs 
+
+
+### Outputs
+
+Data are stored in `output_data/`, the folder is created if missing.
+
+
+## Analysis 
+
+Install the package 
+
+```R
+install.packages("remotes")
+remotes::install_github("DFOChuLab/Watershed_prioritization")
+```
+
+Once installed run: 
+
+```R
+library(watershedPrioritization)
+run_pipeline()
+```
\ No newline at end of file
diff --git a/ShinyApp/App.R b/ShinyApp/App.R
index 2208b43..edaf1f4 100644
--- a/ShinyApp/App.R
+++ b/ShinyApp/App.R
@@ -1,380 +1,374 @@
-require(shiny)
+library(shiny)
 library(shinythemes)
-library(tidyverse)
-require(leaflet)
-require(sf)
-require(shinybusy)
-require(viridis)
-library(shinyWidgets)
-require(htmltools)
+library(shinybusy)
+library(leaflet)
+
 
 ############
 ui <- navbarPage(
   theme = shinytheme("simplex"),
   title = "Watershed prioritization in Canada",
-# 
-#tags$style(type='text/css', ".selectize-input { font-size: 11px; line-height: 11px;} .selectize-dropdown { font-size: 11px; line-height: 11px; }"),
+  #
+  # tags$style(type='text/css', ".selectize-input { font-size: 11px; line-height: 11px;} .selectize-dropdown { font-size: 11px; line-height: 11px; }"),
 
   tabPanel(
     "Map",
 
-    #sidebar
-     sidebarLayout(
+    # sidebar
+    sidebarLayout(
       sidebarPanel(
         width = 4,
         p(strong("Prioritizing watersheds for conservation")),
         splitLayout(
-        selectInput(inputId = "scale", label = "Watershed scale", 
-                    choices = c("Hydrobasin level 5", "Hydrobasin level 6")),
-        selectInput(inputId = "objective", label = "Weighting schema", choices = c(
-          "Custom","Area-based protection", "Restoration", "SAR management", "AIS management" )),
-        tags$head(tags$style(HTML(".shiny-split-layout > div {overflow: visible;}"))),
-        cellWidths = c("45%", "55%")
+          selectInput(
+            inputId = "scale", label = "Watershed scale",
+            choices = c("Hydrobasin level 5", "Hydrobasin level 6")
+          ),
+          selectInput(inputId = "objective", label = "Weighting schema", choices = c(
+            "Custom", "Area-based protection", "Restoration", "SAR management", "AIS management"
+          )),
+          tags$head(tags$style(HTML(".shiny-split-layout > div {overflow: visible;}"))),
+          cellWidths = c("45%", "55%")
         ),
         splitLayout(
-        actionButton(inputId = "go", label = "Generate map"),
-        actionButton(inputId = "reset", label = "Reset sliders")
+          actionButton(inputId = "go", label = "Generate map"),
+          actionButton(inputId = "reset", label = "Reset sliders")
         ),
-        
         checkboxInput("regional", label = "Watersheds ranked within ecoregions?", value = TRUE),
         p(strong("Weight watersheds according to:")),
-        sliderInput(inputId = "WSI", 
-                    label ="Watershed stress",
-                    min = -5, max = 5, value = 0, step=0.1),
-        sliderInput(inputId = "SARI", 
-                    label ="Fish species at risk (SAR) richness",
-                    min = -5, max = 5, value = 0, step=0.1),
-        sliderInput(inputId = "Richness", 
-                    label ="Fish species richness",
-                    min = -5, max = 5, value = 0, step=0.1),
-        sliderInput(inputId = "Q", 
-                    label ="Fish species rarity",
-                    min = -5, max = 5, value = 0, step=0.1),
-        sliderInput(inputId = "FBCI", label="Fish biodiversity change",
-                      min = -5, max = 5, value = 0, step=0.1),
-        sliderInput(inputId = "CCI", 
-                   label ="Climate change",
-                    min = -5, max = 5, value = 0, step=0.1)
-     
+        sliderInput(
+          inputId = "WSI",
+          label = "Watershed stress",
+          min = -5, max = 5, value = 0, step = 0.1
+        ),
+        sliderInput(
+          inputId = "SARI",
+          label = "Fish species at risk (SAR) richness",
+          min = -5, max = 5, value = 0, step = 0.1
+        ),
+        sliderInput(
+          inputId = "Richness",
+          label = "Fish species richness",
+          min = -5, max = 5, value = 0, step = 0.1
+        ),
+        sliderInput(
+          inputId = "Q",
+          label = "Fish species rarity",
+          min = -5, max = 5, value = 0, step = 0.1
+        ),
+        sliderInput(
+          inputId = "FBCI", label = "Fish biodiversity change",
+          min = -5, max = 5, value = 0, step = 0.1
         ),
-     
-    mainPanel( # main section of Interactive map tab (i.e. the map)
+        sliderInput(
+          inputId = "CCI",
+          label = "Climate change",
+          min = -5, max = 5, value = 0, step = 0.1
+        )
+      ),
+      mainPanel( # main section of Interactive map tab (i.e. the map)
         width = 8,
-       leafletOutput("map", height="90vh")
-           ) # end of main panel
+        leafletOutput("map", height = "90vh")
+      ) # end of main panel
     ) # end of sideBarLayout
-  ), #end of Tab
-  
+  ), # end of Tab
+
   tabPanel(
     "Details",
-   p("This app ranks watersheds for conservation objectives based on the methods outlined in [PAPER REFERENCE]"),
+    p("This app ranks watersheds for conservation objectives based on the methods outlined in [PAPER REFERENCE]"),
     hr(),
-      p(strong("Watershed scale"),
+    p(
+      strong("Watershed scale"),
       br(),
       "The unit of watersheds at which the prioritization is done. Options include Hydrobasin level 5 and 6 from SOURCE. Level 5 watersheds are larger than level 6. "
     ),
-    
-   br(),
-   p(strong("Weighting schema"),
-     br(),
-     "Create a custom weighting scheme, or select one of the schemes meant to select watersheds for area-based protection, restoration, species at risk management or invasive species management from PAPER REFERENCE"
-   ),
-   hr(),
- 
-   p(em("Select weights for the 6 variables below to help identify priority watersheds for conservation. Positive weight vales (i.e. > 0) will select watersheds with large values of the variable,
+    br(),
+    p(
+      strong("Weighting schema"),
+      br(),
+      "Create a custom weighting scheme, or select one of the schemes meant to select watersheds for area-based protection, restoration, species at risk management or invasive species management from PAPER REFERENCE"
+    ),
+    hr(),
+    p(em("Select weights for the 6 variables below to help identify priority watersheds for conservation. Positive weight vales (i.e. > 0) will select watersheds with large values of the variable,
       while negative weight values (i.e. < 0) will select watersheds with low values of the variable. Weight values of 0 indicate that the variable should be ignored when selecting watersheds.")),
-   
-   p(strong("Watershed stress"),
-     br(),
-     "Intensity of human impact in a watershed based on the Global Human Modification dataset (Theobald et al. 2017. Earth Sci Syst Data). Normalized range of 0-100"
-   ),
-    
-   br(),
-   p(strong("Fish species at risk (SAR) richness"),
-     br(),
-     "Number of COSEWIC listed fish species at risk with a watershed. Normalized range of 0-100"
-   ),
-   
-   br(),
-   p(strong("Fish species richness"),
-     br(),
-     "Number of fish species (including native, foreign and translocated species) within a watershed. Normalized range of 0-100"
-   ),
-   
-   br(),
-   p(strong("Fish biodiversity change"),
-     br(),
-     "Index of the relative rarity of fish species within in the amount, from Minns (1987) NZ J Zool. Normalized range of 0-100"
-   ),
-   
-   br(),
-   p(strong("Fish biodiversity change"),
-     br(),
-     "Index of the amount of change in a fish community between historical (ie 1960s) and current periods. Most of this change is driven by invasive species. Normalized range of 0-100"
-   ),
-   
-   br(),
-   p(strong("Climate change"),
-     br(),
-     "Index of the amount of climate change predicted in a watershed by 2055 under an RCP 4.5 scenario. Normalized range of 0-100"
-   ),
-   hr(),
-  
-   p(strong("Watersheds ranked within ecoregions?"),
-     br(),
-     "Select whether you want watersheds to be ranked within their freshwater ecoregion (i.e. high rankings = high for that ecoregion). Default (unchecked) value is that rankings are conducted at a national scale."
-     )
+    p(
+      strong("Watershed stress"),
+      br(),
+      "Intensity of human impact in a watershed based on the Global Human Modification dataset (Theobald et al. 2017. Earth Sci Syst Data). Normalized range of 0-100"
+    ),
+    br(),
+    p(
+      strong("Fish species at risk (SAR) richness"),
+      br(),
+      "Number of COSEWIC listed fish species at risk with a watershed. Normalized range of 0-100"
+    ),
+    br(),
+    p(
+      strong("Fish species richness"),
+      br(),
+      "Number of fish species (including native, foreign and translocated species) within a watershed. Normalized range of 0-100"
+    ),
+    br(),
+    p(
+      strong("Fish biodiversity change"),
+      br(),
+      "Index of the relative rarity of fish species within in the amount, from Minns (1987) NZ J Zool. Normalized range of 0-100"
+    ),
+    br(),
+    p(
+      strong("Fish biodiversity change"),
+      br(),
+      "Index of the amount of change in a fish community between historical (ie 1960s) and current periods. Most of this change is driven by invasive species. Normalized range of 0-100"
+    ),
+    br(),
+    p(
+      strong("Climate change"),
+      br(),
+      "Index of the amount of climate change predicted in a watershed by 2055 under an RCP 4.5 scenario. Normalized range of 0-100"
+    ),
+    hr(),
+    p(
+      strong("Watersheds ranked within ecoregions?"),
+      br(),
+      "Select whether you want watersheds to be ranked within their freshwater ecoregion (i.e. high rankings = high for that ecoregion). Default (unchecked) value is that rankings are conducted at a national scale."
     )
+  )
 )
 
 ############
 server <- function(input, output, session) {
-
-  
- # load initial map
+  # load initial map
   output$map <- renderLeaflet({
-    leaflet(options = leafletOptions(preferCanvas = TRUE)) %>%
+    leaflet(options = leafletOptions(preferCanvas = TRUE)) |>
       addProviderTiles(providers$Esri.WorldTopoMap,
-                       options = providerTileOptions(
-                         updateWhenZooming = FALSE,      # map won't update tiles until zoom is done
-                         updateWhenIdle = TRUE           # map won't load new tiles when panning
-                                   ))  %>%
-      fitBounds(lat1 = 43, lng1=-143, lat2=75, lng2=-50)
-    
-     })
-  
-#Reset sliders buttons
+        options = providerTileOptions(
+          updateWhenZooming = FALSE, # map won't update tiles until zoom is done
+          updateWhenIdle = TRUE # map won't load new tiles when panning
+        )
+      ) |>
+      fitBounds(lat1 = 43, lng1 = -143, lat2 = 75, lng2 = -50)
+  })
+
+  # Reset sliders buttons
   observeEvent(input$reset, {
-    
-      if(input$objective == "Area-based protection"){ 
-        updateSliderInput(inputId = "WSI",  value = -1)
-        updateSliderInput(inputId = "SARI",  value = 1.1)
-        updateSliderInput(inputId = "Richness",  value = 1)
-        updateSliderInput(inputId = "Q",  value = 1.7)
-        updateSliderInput(inputId = "FBCI", value = -1.1 )
-        updateSliderInput(inputId = "CCI",  value = -0.5)
-      } 
-      if(input$objective == "Restoration"){ 
-        updateSliderInput(inputId = "WSI",  value = 2.5)
-        updateSliderInput(inputId = "SARI",  value = 1.4)
-        updateSliderInput(inputId = "Richness",  value = 1)
-        updateSliderInput(inputId = "Q",  value = 1.2)
-        updateSliderInput(inputId = "FBCI", value = 0.1 )
-        updateSliderInput(inputId = "CCI",  value = -1)
-      }
-      if(input$objective == "SAR management"){ 
-        updateSliderInput(inputId = "WSI",  value = 1.5)
-        updateSliderInput(inputId = "SARI",  value = 2.1)
-        updateSliderInput(inputId = "Richness",  value = 0 )
-        updateSliderInput(inputId = "Q",  value = 1.3)
-        updateSliderInput(inputId = "FBCI", value = 1.3 )
-        updateSliderInput(inputId = "CCI",  value = 1)
-      }
-      if(input$objective == "AIS management"){ 
-        updateSliderInput(inputId = "WSI",  value = 1.4)
-        updateSliderInput(inputId = "SARI",  value = 1)
-        updateSliderInput(inputId = "Richness",  value =  1)
-        updateSliderInput(inputId = "Q",  value = 1)
-        updateSliderInput(inputId = "FBCI", value =  1.8)
-        updateSliderInput(inputId = "CCI",  value = 0.5)
-      }
-      if(input$objective == "Custom"){ 
-        updateSliderInput(inputId = "WSI",  value = 0)
-        updateSliderInput(inputId = "SARI",  value = 0)
-        updateSliderInput(inputId = "Richness",  value =  0)
-        updateSliderInput(inputId = "Q",  value = 0)
-        updateSliderInput(inputId = "FBCI", value =  0)
-        updateSliderInput(inputId = "CCI",  value = 0)
-      }
-    
-    
-    }) 
-  
-  
-#update sliders based on objective
-    observeEvent(input$objective, {
-    if(input$objective == "Area-based protection"){ 
-      updateSliderInput(inputId = "WSI",  value = -1)
-      updateSliderInput(inputId = "SARI",  value = 1.1)
-      updateSliderInput(inputId = "Richness",  value = 1)
-      updateSliderInput(inputId = "Q",  value = 1.7)
-      updateSliderInput(inputId = "FBCI", value = -1.1 )
-      updateSliderInput(inputId = "CCI",  value = -0.5)
-    } 
-      if(input$objective == "Restoration"){ 
-        updateSliderInput(inputId = "WSI",  value = 2.5)
-        updateSliderInput(inputId = "SARI",  value = 1.4)
-        updateSliderInput(inputId = "Richness",  value = 1)
-        updateSliderInput(inputId = "Q",  value = 1.2)
-        updateSliderInput(inputId = "FBCI", value = 0.1 )
-        updateSliderInput(inputId = "CCI",  value = -1)
-      }
-      if(input$objective == "SAR management"){ 
-        updateSliderInput(inputId = "WSI",  value = 1.5)
-        updateSliderInput(inputId = "SARI",  value = 2.1)
-        updateSliderInput(inputId = "Richness",  value = 0 )
-        updateSliderInput(inputId = "Q",  value = 1.3)
-        updateSliderInput(inputId = "FBCI", value = 1.3 )
-        updateSliderInput(inputId = "CCI",  value = 1)
-      }
-      if(input$objective == "AIS management"){ 
-        updateSliderInput(inputId = "WSI",  value = 1.4)
-        updateSliderInput(inputId = "SARI",  value = 1)
-        updateSliderInput(inputId = "Richness",  value =  1)
-        updateSliderInput(inputId = "Q",  value = 1)
-        updateSliderInput(inputId = "FBCI", value =  1.8)
-        updateSliderInput(inputId = "CCI",  value = 0.5)
-      }
-      if(input$objective == "Custom"){ 
-        updateSliderInput(inputId = "WSI",  value = 0)
-        updateSliderInput(inputId = "SARI",  value = 0)
-        updateSliderInput(inputId = "Richness",  value =  0)
-        updateSliderInput(inputId = "Q",  value = 0)
-        updateSliderInput(inputId = "FBCI", value =  0)
-        updateSliderInput(inputId = "CCI",  value = 0)
-      }
-        
-      })
-    
-  
-  
-   #  data = read_csv("watershed_prioritization_level5.csv")
-   #  data = data[,1:8]
-   #  map = read_sf("Hybas5_map/hyC_5_join_shp_Lamb_up.shp")
-   #  map <- st_transform(map, crs = 4326)
-   # feow = read_sf("FEOW_CAN_Extent/FEOW__CAN_Extent.shp")
-   # feow <- st_transform(feow, crs = 4326)
-    
-   
-    
-     data5 = read_csv("watershed_prioritization_level5.csv")
-      data5 = data5[,1:8]
-      data6 = read_csv("watershed_prioritization_level6.csv")
-      data6 = data6[,1:8]
-      
-        map5 = read_sf("s_map5.gpkg")
-      map6 = read_sf("s_map6.gpkg")
-      
-     feow = read_sf("s_feow.gpkg")
-   
-      
-    
+    if (input$objective == "Area-based protection") {
+      updateSliderInput(inputId = "WSI", value = -1)
+      updateSliderInput(inputId = "SARI", value = 1.1)
+      updateSliderInput(inputId = "Richness", value = 1)
+      updateSliderInput(inputId = "Q", value = 1.7)
+      updateSliderInput(inputId = "FBCI", value = -1.1)
+      updateSliderInput(inputId = "CCI", value = -0.5)
+    }
+    if (input$objective == "Restoration") {
+      updateSliderInput(inputId = "WSI", value = 2.5)
+      updateSliderInput(inputId = "SARI", value = 1.4)
+      updateSliderInput(inputId = "Richness", value = 1)
+      updateSliderInput(inputId = "Q", value = 1.2)
+      updateSliderInput(inputId = "FBCI", value = 0.1)
+      updateSliderInput(inputId = "CCI", value = -1)
+    }
+    if (input$objective == "SAR management") {
+      updateSliderInput(inputId = "WSI", value = 1.5)
+      updateSliderInput(inputId = "SARI", value = 2.1)
+      updateSliderInput(inputId = "Richness", value = 0)
+      updateSliderInput(inputId = "Q", value = 1.3)
+      updateSliderInput(inputId = "FBCI", value = 1.3)
+      updateSliderInput(inputId = "CCI", value = 1)
+    }
+    if (input$objective == "AIS management") {
+      updateSliderInput(inputId = "WSI", value = 1.4)
+      updateSliderInput(inputId = "SARI", value = 1)
+      updateSliderInput(inputId = "Richness", value = 1)
+      updateSliderInput(inputId = "Q", value = 1)
+      updateSliderInput(inputId = "FBCI", value = 1.8)
+      updateSliderInput(inputId = "CCI", value = 0.5)
+    }
+    if (input$objective == "Custom") {
+      updateSliderInput(inputId = "WSI", value = 0)
+      updateSliderInput(inputId = "SARI", value = 0)
+      updateSliderInput(inputId = "Richness", value = 0)
+      updateSliderInput(inputId = "Q", value = 0)
+      updateSliderInput(inputId = "FBCI", value = 0)
+      updateSliderInput(inputId = "CCI", value = 0)
+    }
+  })
+
+
+  # update sliders based on objective
+  observeEvent(input$objective, {
+    if (input$objective == "Area-based protection") {
+      updateSliderInput(inputId = "WSI", value = -1)
+      updateSliderInput(inputId = "SARI", value = 1.1)
+      updateSliderInput(inputId = "Richness", value = 1)
+      updateSliderInput(inputId = "Q", value = 1.7)
+      updateSliderInput(inputId = "FBCI", value = -1.1)
+      updateSliderInput(inputId = "CCI", value = -0.5)
+    }
+    if (input$objective == "Restoration") {
+      updateSliderInput(inputId = "WSI", value = 2.5)
+      updateSliderInput(inputId = "SARI", value = 1.4)
+      updateSliderInput(inputId = "Richness", value = 1)
+      updateSliderInput(inputId = "Q", value = 1.2)
+      updateSliderInput(inputId = "FBCI", value = 0.1)
+      updateSliderInput(inputId = "CCI", value = -1)
+    }
+    if (input$objective == "SAR management") {
+      updateSliderInput(inputId = "WSI", value = 1.5)
+      updateSliderInput(inputId = "SARI", value = 2.1)
+      updateSliderInput(inputId = "Richness", value = 0)
+      updateSliderInput(inputId = "Q", value = 1.3)
+      updateSliderInput(inputId = "FBCI", value = 1.3)
+      updateSliderInput(inputId = "CCI", value = 1)
+    }
+    if (input$objective == "AIS management") {
+      updateSliderInput(inputId = "WSI", value = 1.4)
+      updateSliderInput(inputId = "SARI", value = 1)
+      updateSliderInput(inputId = "Richness", value = 1)
+      updateSliderInput(inputId = "Q", value = 1)
+      updateSliderInput(inputId = "FBCI", value = 1.8)
+      updateSliderInput(inputId = "CCI", value = 0.5)
+    }
+    if (input$objective == "Custom") {
+      updateSliderInput(inputId = "WSI", value = 0)
+      updateSliderInput(inputId = "SARI", value = 0)
+      updateSliderInput(inputId = "Richness", value = 0)
+      updateSliderInput(inputId = "Q", value = 0)
+      updateSliderInput(inputId = "FBCI", value = 0)
+      updateSliderInput(inputId = "CCI", value = 0)
+    }
+  })
+
+  data5 <- readr::read_csv(
+    "watershed_prioritization_level5.csv",
+    show_col_types = FALSE
+  ) |>
+    dplyr::select(
+      HYBAS_ID, FEOW_ID, WSI_n, FBCI_n, CCI_n, SARI_n, Fish_richness_n, Priority_n
+    )
+  data6 <- readr::read_csv(
+    "watershed_prioritization_level6.csv",
+    show_col_types = FALSE
+  ) |>
+    dplyr::select(
+      HYBAS_ID, FEOW_ID, WSI_n, FBCI_n, CCI_n, SARI_n, Fish_richness_n, Priority_n
+    )
+  #
+  map5 <- sf::read_sf("s_map5.gpkg")
+  map6 <- sf::read_sf("s_map6.gpkg")
+  feow <- sf::read_sf("s_feow.gpkg")
 
-    
-    
-  #Generate map button
+
+  # Generate map button
   observeEvent(input$go, {
-    
     show_modal_spinner() # show the modal window
 
-    if(input$scale == "Hydrobasin level 5"){
-      map<-map5
-      data<-data5}else{
-        map<-map6
-        data<-data6
-      }
- 
-  #calculate the ranks based on user input weightings
-  data = data %>% 
-    mutate( score =  
-              WSI_n * input$WSI+
-              FBCI_n * input$FBCI+
-              CCI_n * input$CCI+
-              SARI_n * input$SARI+
-              Fish_richness_n * input$Richness+
-              Priority_n * input$Q)
-  
-  if(input$regional == FALSE){
-  
-    data = data %>% mutate(watershed_rank = rank(-score))
-    } else{
-    
-      data =  data %>% arrange(FEOW_ID, -score) %>% 
-      group_by(FEOW_ID) %>% 
-      mutate(watershed_rank=row_number()) 
-      
-      #convert to relative ranks
-      maxrank = max(data$watershed_rank-1)
-      
-      data = data %>%  group_by(FEOW_ID) %>%
-        mutate(watershed_rank = ( (watershed_rank-1)* maxrank/max(watershed_rank-1) )+1)
-      
-     data$watershed_rank[which(is.nan(data$watershed_rank))]<-(maxrank+1)/2 #if there is only 1 watershed in feow
-          }
-  
-  pal = viridis(max(data$watershed_rank), 
-                option = "magma", 
-                direction = -1, 
-                end = 0.9)
-  
-  data$wsh_fill = pal[data$watershed_rank]
-  
-  #join the data with the map
-   #map = map %>% select(HYBAS_ID, geometry)
-   map = map %>% select(HYBAS_ID, geom)
-   map = left_join(map, data, by="HYBAS_ID")
-   
-#popup labels for watersheds
-   
-   wsh_labels <- lapply(seq(nrow(map)), function(i) {
-     paste0(
-       "Watershed stress: ", round(map$WSI_n[i],2), "<br>",
-       "SAR richness: ", round(map$SARI_n[i],2), "<br>",
-       "Fish species richness: ", round(map$Fish_richness_n[i],2), "<br>",
-       "Biodiversity change: ", round(map$FBCI_n[i],2), "<br>",
-       "Fish rarity: ", round(map$Priority_n[i],2), "<br>",
-       "Climate change: ", round(map$CCI_n[i],2), "<br>"
-     )
-   })
-   
+    if (input$scale == "Hydrobasin level 5") {
+      map <- map5
+      data <- data5
+    } else {
+      map <- map6
+      data <- data6
+    }
+
+    # calculate the ranks based on user input weightings
+    data <- data |>
+      dplyr::mutate(
+        score =
+          WSI_n * input$WSI +
+            FBCI_n * input$FBCI +
+            CCI_n * input$CCI +
+            SARI_n * input$SARI +
+            Fish_richness_n * input$Richness +
+            Priority_n * input$Q
+      )
+
+    if (!input$regional) {
+      data <- data |>
+        dplyr::mutate(watershed_rank = rank(-score))
+    } else {
+      data <- data |>
+        dplyr::arrange(FEOW_ID, -score) |>
+        dplyr::group_by(FEOW_ID) |>
+        dplyr::mutate(watershed_rank = dplyr::row_number())
+
+      # convert to relative ranks
+      maxrank <- max(data$watershed_rank - 1)
+      data <- data |>
+        dplyr::group_by(FEOW_ID) |>
+        dplyr::mutate(watershed_rank = ((watershed_rank - 1) * maxrank / max(watershed_rank - 1)) + 1)
+
+      data$watershed_rank[which(is.nan(data$watershed_rank))] <- (maxrank + 1) / 2 # if there is only 1 watershed in feow
+    }
+
+    pal <- viridis::viridis(max(data$watershed_rank),
+      option = "magma",
+      direction = -1,
+      end = 0.9
+    )
+
+    data$wsh_fill <- pal[data$watershed_rank]
+
+    # join the data with the map
+    # map = map |> select(HYBAS_ID, geometry)
+    map <- map |>
+      dplyr::select(HYBAS_ID, geom) |>
+      dplyr::left_join(data, by = "HYBAS_ID")
+
+    # popup labels for watersheds
+    wsh_labels <- lapply(seq(nrow(map)), function(i) {
+      paste0(
+        "Watershed stress: ", round(map$WSI_n[i], 2), "<br>",
+        "SAR richness: ", round(map$SARI_n[i], 2), "<br>",
+        "Fish species richness: ", round(map$Fish_richness_n[i], 2), "<br>",
+        "Biodiversity change: ", round(map$FBCI_n[i], 2), "<br>",
+        "Fish rarity: ", round(map$Priority_n[i], 2), "<br>",
+        "Climate change: ", round(map$CCI_n[i], 2), "<br>"
+      )
+    })
 
-      #map it
-   leafletProxy("map") %>%
-     clearGroup(group ="watersheds") %>%
-     clearShapes() %>%
-     clearControls() %>%
-       addPolygons(
-         data = map,
-         fillColor = map$wsh_fill,
-         color = map$wsh_fill,
-         opacity = 0.6,
-         weight=2,
-         group ="Watersheds",
-         label = lapply(wsh_labels, htmltools::HTML),
-         fillOpacity = 0.8,
-         highlightOptions = highlightOptions(color = "white", weight = 2,
-                                             bringToFront = TRUE)
-       ) %>%
-       addPolygons(
-         data = feow,
-                 color = "black",
-         weight = 3,
-         fillColor = "transparent",
-         fillOpacity = 0,
-         group = "Ecoregions",
-         opacity = 1
-       ) %>%
-     hideGroup(group = "Ecoregions") %>%
-       addLegend(
-         colors =  viridis(9, alpha = 1, end = 0.9, direction = -1, option = "magma"),
-         labels = c("high", rep("",7), "low"),
-         title = "Priority", group="watersheds"
-       ) %>%
-        addLayersControl(
-         overlayGroups = c("Watersheds", "Ecoregions"),
-         position = "bottomright",
-         options = layersControlOptions(collapsed = FALSE)
-       )
-     
 
+    # map it
+    leafletProxy("map") |>
+      clearGroup(group = "watersheds") |>
+      clearShapes() |>
+      clearControls() |>
+      addPolygons(
+        data = map,
+        fillColor = map$wsh_fill,
+        color = map$wsh_fill,
+        opacity = 0.6,
+        weight = 2,
+        group = "Watersheds",
+        label = lapply(wsh_labels, htmltools::HTML),
+        fillOpacity = 0.8,
+        highlightOptions = highlightOptions(
+          color = "white", weight = 2,
+          bringToFront = TRUE
+        )
+      ) |>
+      addPolygons(
+        data = feow,
+        color = "black",
+        weight = 3,
+        fillColor = "transparent",
+        fillOpacity = 0,
+        group = "Ecoregions",
+        opacity = 1
+      ) |>
+      hideGroup(group = "Ecoregions") |>
+      addLegend(
+        colors = viridis::viridis(9, alpha = 1, end = 0.9, direction = -1, option = "magma"),
+        labels = c("high", rep("", 7), "low"),
+        title = "Priority", group = "watersheds"
+      ) |>
+      addLayersControl(
+        overlayGroups = c("Watersheds", "Ecoregions"),
+        position = "bottomright",
+        options = layersControlOptions(collapsed = FALSE)
+      )
 
-   remove_modal_spinner() # remove it when done
-   
-    }) #end of 'go' button
-  
-  
-  
-  
- } #end of server
+    remove_modal_spinner() # remove it when done
+  }) # end of 'go' button
+} # end of server
 
 shinyApp(ui = ui, server = server)
diff --git a/ShinyApp/watershed_prioritization_level6.csv b/ShinyApp/watershed_prioritization_level6.csv
index fde6b0a..f18d7fc 100644
--- a/ShinyApp/watershed_prioritization_level6.csv
+++ b/ShinyApp/watershed_prioritization_level6.csv
@@ -1,1379 +1,940 @@
-HYBAS_ID,FEOW_ID,WSI_n,FBCI_n,CCI_n,SARI_n,Fish_richness_n,Priority_n,protection_score,Prot_rank_feow,restoration_score,Rest_rank_feow,SAR_score,SAR_rank_feow,AIS_score,AIS_rank_feow
-8060008980,101,0.01368128154643143,0,57.57368068905068,5,19.327731092436977,56.600053856814995,93.25880789058755,4,35.07212702754396,4,141.42425546448334,1,109.73350670043641,1
-8060009140,101,0.0120559225716284,0,56.326078663361045,5,17.647058823529413,52.02243633972709,84.34991459068856,5,29.29438291838425,5,134.25568761423102,2,102.8491727591196,2
-8060009130,101,0.00445266625626361,0,29.050011187563843,5,17.647058823529413,56.113577881860174,105.01457032706818,2,61.3241754893435,3,112.25780938836841,3,93.29178738156136,3
-8060009250,101,0.00732424096516361,0,15.51404602365439,5,26.050420168067227,50.40902250677733,110.39595008352899,1,76.61546650151048,1,91.35055071644187,5,89.22657380203091,4
-8060009240,101,0.00259573282152831,0,19.96153359483011,5,17.647058823529413,52.02243633972709,102.54164731470412,3,65.63494750592075,2,97.8769987865983,4,84.65384430687322,5
-8060252130,102,0.1155571314726225,0,12.423598854717122,0,21.008403361344534,60.55413987682867,118.5715229285423,4,79.52422492100153,8,90.8885874930543,5,87.93382196462295,1
-8060287740,102,0.47225879547178623,0,5.435160132415409,0,21.84873949579832,61.6247135253897,124.38611998370308,2,89.5061996090451,3,85.8176230267354,8,86.84279296349932,2
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+7060256650,5.35103466633,8.13447559701,0.7018735981000132,0.227272727,19.46661773078381,2,22,74.6753246070501,22.669910531005595,31.604683114346475,64.69424605848268,9.856450529187876,10,17.796610169491526,120,19.425002684978452,21,139.85707833395327,11,266.6164149504631,9,276.4844876731407,11
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+7060290130,3.64891521251,4.24057115559,0.6911586840832125,0.25,29.82791656253197,1,24,82.14285716632654,15.458801252648351,16.335029965801937,62.59318151192563,15.102643316046173,5,19.491525423728813,120,18.52185000760835,22,129.46337562613485,13,236.81605871329845,14,267.1820047720142,13
+7060295790,1.9143611608,3.28214196311,0.7573536526366715,0.166666667,27.746529354280575,5,30,54.761904887074834,8.1102812718521875,12.57662203443722,75.57321115752593,14.048783299468958,25,24.57627118644068,120,107.72271929064411,1,161.54050754455673,9,246.19093409346783,12,243.02754110475115,14
+7060234190,3.03393378809,10.3183686211,0.6376018756280004,0.16,1.277213981400755,2,26,52.57142858644898,12.853403467140527,40.168655213060696,52.09134161889854,0.6466863580326586,10,21.1864406779661,120,31.041307394516423,18,93.25385294322717,17,215.74210121663498,15,217.48192230047238,15
+7060223480,0.576138732555,10.2763779224,0.659582555808971,0.15,9.007096337453632,2,21,49.28571429979592,2.4408388909628744,40.00399184901055,56.40148613009414,4.5605251265208935,10,16.949152542372882,120,48.30795518900156,13,67.541280140237,21,201.35091068477197,16,197.07835603985762,16
+7060245930,0.0896582512087,9.7514735389,0.659582555808971,0.142857143,72.56305961004044,2,21,46.938775570553936,0.3798414063838744,37.94561882194348,56.40148613009414,36.74054825844902,10,16.949152542372882,120,53.97977178928029,12,64.17968596732979,23,193.18860487819734,17,188.9020854783853,17
+7060256810,0.106152289805,4.71465695667,0.6800072568940494,0.15,7.400926063072918,2,20,49.28571429979592,0.4497191781774041,18.19412174734077,60.40652203207116,3.747279698051708,10,16.10169491525424,120,67.22784283684697,5,88.12897755406483,18,181.74238164285367,18,186.58307386840795,18
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diff --git a/Analysis/Figures/Older/AIS_maps.png b/figs/v1/Older/AIS_maps.png
similarity index 100%
rename from Analysis/Figures/Older/AIS_maps.png
rename to figs/v1/Older/AIS_maps.png
diff --git a/Analysis/Figures/Older/PA_maps.png b/figs/v1/Older/PA_maps.png
similarity index 100%
rename from Analysis/Figures/Older/PA_maps.png
rename to figs/v1/Older/PA_maps.png
diff --git a/Analysis/Figures/Older/Rest_maps.png b/figs/v1/Older/Rest_maps.png
similarity index 100%
rename from Analysis/Figures/Older/Rest_maps.png
rename to figs/v1/Older/Rest_maps.png
diff --git a/Analysis/Figures/Older/SAR_maps.png b/figs/v1/Older/SAR_maps.png
similarity index 100%
rename from Analysis/Figures/Older/SAR_maps.png
rename to figs/v1/Older/SAR_maps.png
diff --git a/Analysis/Figures/SAR_vs_AIS.png b/figs/v1/SAR_vs_AIS.png
similarity index 100%
rename from Analysis/Figures/SAR_vs_AIS.png
rename to figs/v1/SAR_vs_AIS.png
diff --git a/Analysis/Figures/coauthor_weightings.png b/figs/v1/coauthor_weightings.png
similarity index 100%
rename from Analysis/Figures/coauthor_weightings.png
rename to figs/v1/coauthor_weightings.png
diff --git a/Analysis/Figures/national_priorities.png b/figs/v1/national_priorities.png
similarity index 100%
rename from Analysis/Figures/national_priorities.png
rename to figs/v1/national_priorities.png
diff --git a/Analysis/Figures/normalized_index_values.png b/figs/v1/normalized_index_values.png
similarity index 100%
rename from Analysis/Figures/normalized_index_values.png
rename to figs/v1/normalized_index_values.png
diff --git a/Analysis/Figures/priorities_by_feow.png b/figs/v1/priorities_by_feow.png
similarity index 100%
rename from Analysis/Figures/priorities_by_feow.png
rename to figs/v1/priorities_by_feow.png
diff --git a/Analysis/Figures/protection_vs_restoration.png b/figs/v1/protection_vs_restoration.png
similarity index 100%
rename from Analysis/Figures/protection_vs_restoration.png
rename to figs/v1/protection_vs_restoration.png
diff --git a/Analysis/Figures/scale_dependency.png b/figs/v1/scale_dependency.png
similarity index 100%
rename from Analysis/Figures/scale_dependency.png
rename to figs/v1/scale_dependency.png
diff --git a/figs/v2/.gitignore b/figs/v2/.gitignore
new file mode 100644
index 0000000..aab52d9
--- /dev/null
+++ b/figs/v2/.gitignore
@@ -0,0 +1 @@
+*.png
\ No newline at end of file
diff --git a/Analysis/Calculating indices/FBCI_calculationcode.docx b/inst/Analysis/Calculating_indices/FBCI_calculationcode.docx
similarity index 100%
rename from Analysis/Calculating indices/FBCI_calculationcode.docx
rename to inst/Analysis/Calculating_indices/FBCI_calculationcode.docx
diff --git a/Analysis/Calculating indices/FBCI_level5_270123.csv b/inst/Analysis/Calculating_indices/FBCI_level5_270123.csv
similarity index 100%
rename from Analysis/Calculating indices/FBCI_level5_270123.csv
rename to inst/Analysis/Calculating_indices/FBCI_level5_270123.csv
diff --git a/Analysis/Calculating indices/FBCI_level6_270123.csv b/inst/Analysis/Calculating_indices/FBCI_level6_270123.csv
similarity index 100%
rename from Analysis/Calculating indices/FBCI_level6_270123.csv
rename to inst/Analysis/Calculating_indices/FBCI_level6_270123.csv
diff --git a/Analysis/Calculating indices/H5_importance_priority.csv b/inst/Analysis/Calculating_indices/H5_importance_priority.csv
similarity index 100%
rename from Analysis/Calculating indices/H5_importance_priority.csv
rename to inst/Analysis/Calculating_indices/H5_importance_priority.csv
diff --git a/Analysis/Calculating indices/calculate I and Q.R b/inst/Analysis/Calculating_indices/calculate_I_and_Q.R
similarity index 69%
rename from Analysis/Calculating indices/calculate I and Q.R
rename to inst/Analysis/Calculating_indices/calculate_I_and_Q.R
index f536ace..c28c30f 100644
--- a/Analysis/Calculating indices/calculate I and Q.R	
+++ b/inst/Analysis/Calculating_indices/calculate_I_and_Q.R
@@ -19,10 +19,10 @@ for(i in 2:ncol(Ivals)){
 }
 
 Ivals = Ivals %>% rowwise() %>% 
-  mutate(QijSij = sum(c_across(Acipenser_brevirostrum:Percina_shumardi))) %>%
-  mutate(richness = sum(c_across(Acipenser_brevirostrum:Percina_shumardi) > 0 ))
+  dplyr::mutate(QijSij = sum(c_across(Acipenser_brevirostrum:Percina_shumardi))) %>%
+  dplyr::mutate(richness = sum(c_across(Acipenser_brevirostrum:Percina_shumardi) > 0 ))
  
-Ivals = Ivals %>% mutate(Ii = QijSij / TotalQ) %>% mutate(Qi = QijSij / richness)
+Ivals = Ivals %>% dplyr::mutate(Ii = QijSij / TotalQ) %>% dplyr::mutate(Qi = QijSij / richness)
 
 towrite = Ivals %>% select(HYBAS_ID, Ii, Qi)
 
@@ -50,10 +50,10 @@ for(i in 2:ncol(Ivals)){
 }
 
 Ivals = Ivals %>% rowwise() %>% 
-  mutate(QijSij = sum(c_across(Acipenser_brevirostrum:Percina_shumardi))) %>%
-  mutate(richness = sum(c_across(Acipenser_brevirostrum:Percina_shumardi) > 0 ))
+  dplyr::mutate(QijSij = sum(c_across(Acipenser_brevirostrum:Percina_shumardi))) %>%
+  dplyr::mutate(richness = sum(c_across(Acipenser_brevirostrum:Percina_shumardi) > 0 ))
 
-Ivals = Ivals %>% mutate(Ii = QijSij / TotalQ) %>% mutate(Qi = QijSij / richness)
+Ivals = Ivals %>% dplyr::mutate(Ii = QijSij / TotalQ) %>% dplyr::mutate(Qi = QijSij / richness)
 
 towrite = Ivals %>% select(HYBAS_ID, Ii, Qi)
 
diff --git a/Analysis/Calculating indices/data carpentry_lvl5.R b/inst/Analysis/Calculating_indices/data_carpentry_lvl5.R
similarity index 77%
rename from Analysis/Calculating indices/data carpentry_lvl5.R
rename to inst/Analysis/Calculating_indices/data_carpentry_lvl5.R
index b21aa94..6b37a65 100644
--- a/Analysis/Calculating indices/data carpentry_lvl5.R	
+++ b/inst/Analysis/Calculating_indices/data_carpentry_lvl5.R
@@ -47,12 +47,12 @@ colnames(data5)<- c("HYBAS_ID",
 
 #Standardize
 data5 = data5 %>%
-  mutate(FBCI_n = (100* (FBCI-min(FBCI)) / ( max(FBCI)-min(FBCI) )  ) ) %>%
-  mutate(WSI_n = (100* (WSI-min(WSI)) / ( max(WSI)-min(WSI) )  ) ) %>%
-  mutate(CCI_n = (100* (CCI-min(CCI)) / ( max(CCI)-min(CCI) )  ) ) %>%
-  mutate(Priority_n = (100* (Fish_priority-min(Fish_priority)) / ( max(Fish_priority)-min(Fish_priority) )  ) ) %>%
-  mutate(SARI_n = (100* (SARI-min(SARI)) / ( max(SARI)-min(SARI) )  ) ) %>%
-  mutate(Fish_richness_n = (100* (Fish_richness-min(Fish_richness)) / ( max(Fish_richness)-min(Fish_richness) )  ) )
+  dplyr::mutate(FBCI_n = (100* (FBCI-min(FBCI)) / ( max(FBCI)-min(FBCI) )  ) ) %>%
+  dplyr::mutate(WSI_n = (100* (WSI-min(WSI)) / ( max(WSI)-min(WSI) )  ) ) %>%
+  dplyr::mutate(CCI_n = (100* (CCI-min(CCI)) / ( max(CCI)-min(CCI) )  ) ) %>%
+  dplyr::mutate(Priority_n = (100* (Fish_priority-min(Fish_priority)) / ( max(Fish_priority)-min(Fish_priority) )  ) ) %>%
+  dplyr::mutate(SARI_n = (100* (SARI-min(SARI)) / ( max(SARI)-min(SARI) )  ) ) %>%
+  dplyr::mutate(Fish_richness_n = (100* (Fish_richness-min(Fish_richness)) / ( max(Fish_richness)-min(Fish_richness) )  ) )
 
 #join with feow
 feow5 = read_csv("hyc_5_feow_join.csv")
diff --git a/Analysis/Calculating indices/data carpentry_lvl6.R b/inst/Analysis/Calculating_indices/data_carpentry_lvl6.R
similarity index 77%
rename from Analysis/Calculating indices/data carpentry_lvl6.R
rename to inst/Analysis/Calculating_indices/data_carpentry_lvl6.R
index 0134503..3dbe301 100644
--- a/Analysis/Calculating indices/data carpentry_lvl6.R	
+++ b/inst/Analysis/Calculating_indices/data_carpentry_lvl6.R
@@ -47,12 +47,12 @@ colnames(data6)<- c("HYBAS_ID",
 
 #Standardize
 data6 = data6 %>%
-  mutate(FBCI_n = (100* (FBCI-min(FBCI)) / ( max(FBCI)-min(FBCI) )  ) ) %>%
-  mutate(WSI_n = (100* (WSI-min(WSI)) / ( max(WSI)-min(WSI) )  ) ) %>%
-  mutate(CCI_n = (100* (CCI-min(CCI)) / ( max(CCI)-min(CCI) )  ) ) %>%
-  mutate(Priority_n = (100* (Fish_priority-min(Fish_priority)) / ( max(Fish_priority)-min(Fish_priority) )  ) ) %>%
-  mutate(SARI_n = (100* (SARI-min(SARI)) / ( max(SARI)-min(SARI) )  ) ) %>%
-  mutate(Fish_richness_n = (100* (Fish_richness-min(Fish_richness)) / ( max(Fish_richness)-min(Fish_richness) )  ) )
+  dplyr::mutate(FBCI_n = (100* (FBCI-min(FBCI)) / ( max(FBCI)-min(FBCI) )  ) ) %>%
+  dplyr::mutate(WSI_n = (100* (WSI-min(WSI)) / ( max(WSI)-min(WSI) )  ) ) %>%
+  dplyr::mutate(CCI_n = (100* (CCI-min(CCI)) / ( max(CCI)-min(CCI) )  ) ) %>%
+  dplyr::mutate(Priority_n = (100* (Fish_priority-min(Fish_priority)) / ( max(Fish_priority)-min(Fish_priority) )  ) ) %>%
+  dplyr::mutate(SARI_n = (100* (SARI-min(SARI)) / ( max(SARI)-min(SARI) )  ) ) %>%
+  dplyr::mutate(Fish_richness_n = (100* (Fish_richness-min(Fish_richness)) / ( max(Fish_richness)-min(Fish_richness) )  ) )
 
 #join with feow
 feow6 = read_csv("hyc_6_feow_join.csv")
diff --git a/Analysis/FEOWscalingcorrected/FEOW_scaling.R b/inst/Analysis/FEOWscalingcorrected/FEOW_scaling.R
similarity index 54%
rename from Analysis/FEOWscalingcorrected/FEOW_scaling.R
rename to inst/Analysis/FEOWscalingcorrected/FEOW_scaling.R
index 89bc941..c97063e 100644
--- a/Analysis/FEOWscalingcorrected/FEOW_scaling.R
+++ b/inst/Analysis/FEOWscalingcorrected/FEOW_scaling.R
@@ -1,44 +1,44 @@
-require(tidyverse)
-require(readr)
-
-## load data
-hyb5r = read_csv("level5ranks.csv")
-hyb6r = read_csv("level6ranks.csv")
-
-#scaling ranks level 5 hydrobasins within FEOWs
-maxrank = max(hyb5r$Prot_rank_feow-1)
-hyb5r = hyb5r%>% group_by(FEOW_ID)%>%
-  mutate(Prot_feow_scaled=(((Prot_rank_feow-1)*maxrank/max(Prot_rank_feow-1))/maxrank)*(100 - 1) + 1)
-
-maxrank = max(hyb5r$Rest_rank_feow-1)
-hyb5r = hyb5r%>% group_by(FEOW_ID)%>%
-  mutate(Rest_feow_scaled=(((Rest_rank_feow-1)*maxrank/max(Rest_rank_feow-1))/maxrank)*(100 - 1) + 1)
-
-maxrank = max(hyb5r$SAR_rank_feow-1)
-hyb5r = hyb5r%>% group_by(FEOW_ID)%>%
-  mutate(SAR_feow_scaled=(((SAR_rank_feow-1)*maxrank/max(SAR_rank_feow-1))/maxrank)*(100 - 1) + 1)
-
-maxrank = max(hyb5r$AIS_rank_feow-1)
-hyb5r = hyb5r%>% group_by(FEOW_ID)%>%
-  mutate(AIS_feow_scaled=(((AIS_rank_feow-1)*maxrank/max(AIS_rank_feow-1))/maxrank)*(100 - 1) + 1)
-
-#scaling ranks level 6 hydrobasins within FEOWs
-maxrank = max(hyb6r$Prot_rank_feow-1)
-hyb6r = hyb6r%>% group_by(FEOW_ID)%>%
-  mutate(Prot_feow_scaled=(((Prot_rank_feow-1)*maxrank/max(Prot_rank_feow-1))/maxrank)*(100 - 1) + 1)
-
-maxrank = max(hyb6r$Rest_rank_feow-1)
-hyb6r = hyb6r%>% group_by(FEOW_ID)%>%
-  mutate(Rest_feow_scaled=(((Rest_rank_feow-1)*maxrank/max(Rest_rank_feow-1))/maxrank)*(100 - 1) + 1)
-
-maxrank = max(hyb6r$SAR_rank_feow-1)
-hyb6r = hyb6r%>% group_by(FEOW_ID)%>%
-  mutate(SAR_feow_scaled=(((SAR_rank_feow-1)*maxrank/max(SAR_rank_feow-1))/maxrank)*(100 - 1) + 1)
-
-maxrank = max(hyb6r$AIS_rank_feow-1)
-hyb6r = hyb6r%>% group_by(FEOW_ID)%>%
-  mutate(AIS_feow_scaled=(((AIS_rank_feow-1)*maxrank/max(AIS_rank_feow-1))/maxrank)*(100 - 1) + 1)
-
-## export data
-write_csv(hyb5r, file = "E:/WS_duplicate/Analysis/FEOW_ranking/hyb5feowscaled.csv")
-write_csv(hyb6r, file = "E:/WS_duplicate/Analysis/FEOW_ranking/hyb6feowscaled.csv")
+require(tidyverse)
+require(readr)
+
+## load data
+hyb5r = read_csv("level5ranks.csv")
+hyb6r = read_csv("level6ranks.csv")
+
+#scaling ranks level 5 hydrobasins within FEOWs
+maxrank = max(hyb5r$Prot_rank_feow-1)
+hyb5r = hyb5r%>% group_by(FEOW_ID)%>%
+  dplyr::mutate(Prot_feow_scaled=(((Prot_rank_feow-1)*maxrank/max(Prot_rank_feow-1))/maxrank)*(100 - 1) + 1)
+
+maxrank = max(hyb5r$Rest_rank_feow-1)
+hyb5r = hyb5r%>% group_by(FEOW_ID)%>%
+  dplyr::mutate(Rest_feow_scaled=(((Rest_rank_feow-1)*maxrank/max(Rest_rank_feow-1))/maxrank)*(100 - 1) + 1)
+
+maxrank = max(hyb5r$SAR_rank_feow-1)
+hyb5r = hyb5r%>% group_by(FEOW_ID)%>%
+  dplyr::mutate(SAR_feow_scaled=(((SAR_rank_feow-1)*maxrank/max(SAR_rank_feow-1))/maxrank)*(100 - 1) + 1)
+
+maxrank = max(hyb5r$AIS_rank_feow-1)
+hyb5r = hyb5r%>% group_by(FEOW_ID)%>%
+  dplyr::mutate(AIS_feow_scaled=(((AIS_rank_feow-1)*maxrank/max(AIS_rank_feow-1))/maxrank)*(100 - 1) + 1)
+
+#scaling ranks level 6 hydrobasins within FEOWs
+maxrank = max(hyb6r$Prot_rank_feow-1)
+hyb6r = hyb6r%>% group_by(FEOW_ID)%>%
+  dplyr::mutate(Prot_feow_scaled=(((Prot_rank_feow-1)*maxrank/max(Prot_rank_feow-1))/maxrank)*(100 - 1) + 1)
+
+maxrank = max(hyb6r$Rest_rank_feow-1)
+hyb6r = hyb6r%>% group_by(FEOW_ID)%>%
+  dplyr::mutate(Rest_feow_scaled=(((Rest_rank_feow-1)*maxrank/max(Rest_rank_feow-1))/maxrank)*(100 - 1) + 1)
+
+maxrank = max(hyb6r$SAR_rank_feow-1)
+hyb6r = hyb6r%>% group_by(FEOW_ID)%>%
+  dplyr::mutate(SAR_feow_scaled=(((SAR_rank_feow-1)*maxrank/max(SAR_rank_feow-1))/maxrank)*(100 - 1) + 1)
+
+maxrank = max(hyb6r$AIS_rank_feow-1)
+hyb6r = hyb6r%>% group_by(FEOW_ID)%>%
+  dplyr::mutate(AIS_feow_scaled=(((AIS_rank_feow-1)*maxrank/max(AIS_rank_feow-1))/maxrank)*(100 - 1) + 1)
+
+## export data
+write_csv(hyb5r, file = "E:/WS_duplicate/Analysis/FEOW_ranking/hyb5feowscaled.csv")
+write_csv(hyb6r, file = "E:/WS_duplicate/Analysis/FEOW_ranking/hyb6feowscaled.csv")
diff --git a/Analysis/FEOWscalingcorrected/hyb6feowscaled.csv b/inst/Analysis/FEOWscalingcorrected/hyb6feowscaled.csv
similarity index 100%
rename from Analysis/FEOWscalingcorrected/hyb6feowscaled.csv
rename to inst/Analysis/FEOWscalingcorrected/hyb6feowscaled.csv
diff --git a/Analysis/FEOWscalingcorrected/temp b/inst/Analysis/FEOWscalingcorrected/temp
similarity index 100%
rename from Analysis/FEOWscalingcorrected/temp
rename to inst/Analysis/FEOWscalingcorrected/temp
diff --git a/Analysis/Results_and_plots.R b/inst/Analysis/Results_and_plots.R
similarity index 96%
rename from Analysis/Results_and_plots.R
rename to inst/Analysis/Results_and_plots.R
index 4ffc1bc..ada27d9 100644
--- a/Analysis/Results_and_plots.R
+++ b/inst/Analysis/Results_and_plots.R
@@ -51,19 +51,19 @@ map5<-read_sf("map5.gpkg")
 #
 maxrank = max(map6$Prot_rank_feow-1)
 map6 = map6 %>%  group_by(FEOW_ID) %>%
-  mutate(Prot_rank_feow_scaled = ( (Prot_rank_feow-1)* maxrank/max(Prot_rank_feow-1) )+1)
+  dplyr::mutate(Prot_rank_feow_scaled = ( (Prot_rank_feow-1)* maxrank/max(Prot_rank_feow-1) )+1)
 
 maxrank = max(map6$Rest_rank_feow-1)
 map6 = map6 %>%  group_by(FEOW_ID) %>%
-  mutate(Rest_rank_feow_scaled = ( (Rest_rank_feow-1)* maxrank/max(Rest_rank_feow-1) )+1)
+  dplyr::mutate(Rest_rank_feow_scaled = ( (Rest_rank_feow-1)* maxrank/max(Rest_rank_feow-1) )+1)
 
 maxrank = max(map6$SAR_rank_feow-1)
 map6 = map6 %>%  group_by(FEOW_ID) %>%
-  mutate(SAR_rank_feow_scaled = ( (SAR_rank_feow-1)* maxrank/max(SAR_rank_feow-1) ) +1 )
+  dplyr::mutate(SAR_rank_feow_scaled = ( (SAR_rank_feow-1)* maxrank/max(SAR_rank_feow-1) ) +1 )
 
 maxrank = max(map6$AIS_rank_feow-1)
 map6 = map6 %>%  group_by(FEOW_ID) %>%
-  mutate(AIS_rank_feow_scaled = ( (AIS_rank_feow-1)* maxrank/max(AIS_rank_feow-1) ) +1 )
+  dplyr::mutate(AIS_rank_feow_scaled = ( (AIS_rank_feow-1)* maxrank/max(AIS_rank_feow-1) ) +1 )
 
 ############
 
@@ -493,7 +493,7 @@ p1
 cor(data$Prot_rank_feow_scaled, data$Rest_rank_feow_scaled, method="spearman")
 
 data = data %>% 
-  mutate(wsh_fill = ifelse(
+  dplyr::mutate(wsh_fill = ifelse(
     Prot_rank_feow_scaled < perc1[2] & Rest_rank_feow_scaled < perc2[2], "a",
     ifelse(Prot_rank_feow_scaled < perc1[2], "b",
            ifelse(Rest_rank_feow_scaled < perc2[2], "c","d")
@@ -558,7 +558,7 @@ p2 = ggplot()+
 p2
 
 data = data %>% 
-  mutate(wsh_fill = ifelse(
+  dplyr::mutate(wsh_fill = ifelse(
     SAR_rank_feow_scaled < perc1[2] & AIS_rank_feow_scaled < perc2[2], "a",
     ifelse(SAR_rank_feow_scaled < perc1[2], "b",
            ifelse(AIS_rank_feow_scaled < perc2[2], "c","d")
@@ -606,7 +606,7 @@ ggplot()+
 #######
 d5 = map5 %>% st_drop_geometry() %>%ungroup()
 
-map6 = map6 %>% ungroup() %>% mutate(
+map6 = map6 %>% ungroup() %>% dplyr::mutate(
   protection_score5 = d5$protection_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
   restoration_score5 = d5$restoration_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
   SAR_score5 = d5$SAR_score[match(map6$corresponding.HYBAS5, d5$HYBAS_ID)],
@@ -674,19 +674,19 @@ data5 = map5
 data5$watershed_rank = data5$Rest_rank_feow
 maxrank1 = max(data5$watershed_rank-1)
 data5 = data5 %>%  group_by(FEOW_ID) %>%
-  mutate(watershed_rank = ( (watershed_rank-1)* maxrank1/max(watershed_rank-1) )+1)
+  dplyr::mutate(watershed_rank = ( (watershed_rank-1)* maxrank1/max(watershed_rank-1) )+1)
 data5$watershed_rank[which(is.nan(data5$watershed_rank))]<-(maxrank1+1)/2 #if there is only 1 watershed in feow
 
 data6=map6
 data6$watershed_rank = data6$Rest_rank_feow
 maxrank2 = max(data6$watershed_rank-1)
 data6 = data6 %>%  group_by(FEOW_ID) %>%
-  mutate(watershed_rank = ( (watershed_rank-1)* maxrank2/max(watershed_rank-1) )+1)
+  dplyr::mutate(watershed_rank = ( (watershed_rank-1)* maxrank2/max(watershed_rank-1) )+1)
 data6$watershed_rank[which(is.nan(data6$watershed_rank))]<-(maxrank2+1)/2 #if there is only 1 watershed in feow
 
 ##identify top 25th percentile
-data5 = data5 %>% mutate(priority_wsh = ifelse(watershed_rank< quantile(data5$watershed_rank)[2],"high","low"))
-data6 = data6 %>% mutate(priority_wsh = ifelse(watershed_rank< quantile(data6$watershed_rank)[2],"high","low"))
+data5 = data5 %>% dplyr::mutate(priority_wsh = ifelse(watershed_rank< quantile(data5$watershed_rank)[2],"high","low"))
+data6 = data6 %>% dplyr::mutate(priority_wsh = ifelse(watershed_rank< quantile(data6$watershed_rank)[2],"high","low"))
 
 
 ###
diff --git a/Analysis/project.Rproj b/inst/Analysis/project.Rproj
similarity index 100%
rename from Analysis/project.Rproj
rename to inst/Analysis/project.Rproj
diff --git a/Analysis/watershed_prioritization_level5.csv b/inst/Analysis/watershed_prioritization_level5.csv
similarity index 100%
rename from Analysis/watershed_prioritization_level5.csv
rename to inst/Analysis/watershed_prioritization_level5.csv
diff --git a/Analysis/watershed_prioritization_level6.csv b/inst/Analysis/watershed_prioritization_level6.csv
similarity index 100%
rename from Analysis/watershed_prioritization_level6.csv
rename to inst/Analysis/watershed_prioritization_level6.csv
diff --git a/Manuscript/Watershed_prioritization_v2.2.docx b/inst/Manuscript/Watershed_prioritization_v2.2.docx
similarity index 100%
rename from Manuscript/Watershed_prioritization_v2.2.docx
rename to inst/Manuscript/Watershed_prioritization_v2.2.docx
diff --git a/WSPrioritization_methodsandfiles.docx b/inst/WSPrioritization_methodsandfiles.docx
similarity index 100%
rename from WSPrioritization_methodsandfiles.docx
rename to inst/WSPrioritization_methodsandfiles.docx
diff --git a/Analysis/Co_author_weightings.csv b/inst/extdata/Co_author_weightings.csv
similarity index 100%
rename from Analysis/Co_author_weightings.csv
rename to inst/extdata/Co_author_weightings.csv
diff --git a/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.cpg b/inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.cpg
similarity index 100%
rename from Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.cpg
rename to inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.cpg
diff --git a/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.dbf b/inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.dbf
similarity index 100%
rename from Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.dbf
rename to inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.dbf
diff --git a/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.prj b/inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.prj
similarity index 100%
rename from Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.prj
rename to inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.prj
diff --git a/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.sbn b/inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.sbn
similarity index 100%
rename from Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.sbn
rename to inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.sbn
diff --git a/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.sbx b/inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.sbx
similarity index 100%
rename from Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.sbx
rename to inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.sbx
diff --git a/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shp b/inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.shp
similarity index 100%
rename from Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shp
rename to inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.shp
diff --git a/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shp.xml b/inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.shp.xml
similarity index 100%
rename from Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shp.xml
rename to inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.shp.xml
diff --git a/Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shx b/inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.shx
similarity index 100%
rename from Analysis/FEOW_CAN_Extent/FEOW__CAN_Extent.shx
rename to inst/extdata/FEOW_CAN_Extent/FEOW__CAN_Extent.shx
diff --git a/Analysis/H12LakeErie/LEH12.cpg b/inst/extdata/H12LakeErie/LEH12.cpg
similarity index 100%
rename from Analysis/H12LakeErie/LEH12.cpg
rename to inst/extdata/H12LakeErie/LEH12.cpg
diff --git a/Analysis/H12LakeErie/LEH12.dbf b/inst/extdata/H12LakeErie/LEH12.dbf
similarity index 100%
rename from Analysis/H12LakeErie/LEH12.dbf
rename to inst/extdata/H12LakeErie/LEH12.dbf
diff --git a/Analysis/H12LakeErie/LEH12.prj b/inst/extdata/H12LakeErie/LEH12.prj
similarity index 100%
rename from Analysis/H12LakeErie/LEH12.prj
rename to inst/extdata/H12LakeErie/LEH12.prj
diff --git a/Analysis/H12LakeErie/LEH12.sbn b/inst/extdata/H12LakeErie/LEH12.sbn
similarity index 100%
rename from Analysis/H12LakeErie/LEH12.sbn
rename to inst/extdata/H12LakeErie/LEH12.sbn
diff --git a/Analysis/H12LakeErie/LEH12.sbx b/inst/extdata/H12LakeErie/LEH12.sbx
similarity index 100%
rename from Analysis/H12LakeErie/LEH12.sbx
rename to inst/extdata/H12LakeErie/LEH12.sbx
diff --git a/Analysis/H12LakeErie/LEH12.shp b/inst/extdata/H12LakeErie/LEH12.shp
similarity index 100%
rename from Analysis/H12LakeErie/LEH12.shp
rename to inst/extdata/H12LakeErie/LEH12.shp
diff --git a/Analysis/H12LakeErie/LEH12.shx b/inst/extdata/H12LakeErie/LEH12.shx
similarity index 100%
rename from Analysis/H12LakeErie/LEH12.shx
rename to inst/extdata/H12LakeErie/LEH12.shx
diff --git a/Analysis/H12LakeErie/LEH12_wpdata.xlsx b/inst/extdata/H12LakeErie/LEH12_wpdata.xlsx
similarity index 100%
rename from Analysis/H12LakeErie/LEH12_wpdata.xlsx
rename to inst/extdata/H12LakeErie/LEH12_wpdata.xlsx
diff --git a/Analysis/Calculating indices/H6_importance_priority.csv b/inst/extdata/H6_importance_priority.csv
similarity index 100%
rename from Analysis/Calculating indices/H6_importance_priority.csv
rename to inst/extdata/H6_importance_priority.csv
diff --git a/Analysis/Hybas6_data.csv b/inst/extdata/Hybas6_data.csv
similarity index 100%
rename from Analysis/Hybas6_data.csv
rename to inst/extdata/Hybas6_data.csv
diff --git a/inst/extdata/ProtectedAreas/.gitignore b/inst/extdata/ProtectedAreas/.gitignore
new file mode 100644
index 0000000..4c56a3d
--- /dev/null
+++ b/inst/extdata/ProtectedAreas/.gitignore
@@ -0,0 +1,2 @@
+ProtectedConservedArea_2023.zip
+ProtectedConservedArea_2023
\ No newline at end of file
diff --git a/inst/extdata/ProtectedAreas/create_protected_areas.R b/inst/extdata/ProtectedAreas/create_protected_areas.R
new file mode 100644
index 0000000..d1d67cf
--- /dev/null
+++ b/inst/extdata/ProtectedAreas/create_protected_areas.R
@@ -0,0 +1,52 @@
+# Data found here; using 2023
+# https://data-donnees.az.ec.gc.ca/data/species/protectrestore/canadian-protected-conserved-areas-database/Database
+
+#------------- GET DATA
+download.file(
+    "https://data-donnees.az.ec.gc.ca/api/file?path=%2Fspecies%2Fprotectrestore%2Fcanadian-protected-conserved-areas-database%2FDatabases%2FProtectedConservedArea_2023.zip",
+    "inst/extdata/ProtectedAreas/ProtectedConservedArea_2023.zip"
+)
+
+unzip(
+    "inst/extdata/ProtectedAreas/ProtectedConservedArea_2023.zip",
+    exdir = "inst/extdata/ProtectedAreas/ProtectedConservedArea_2023"
+)
+
+
+#------------- READ AND COMPUTE
+# takes a few minutes to run
+cpa <- terra::vect("inst/extdata/ProtectedAreas/ProtectedConservedArea_2023/ProtectedConservedArea_2023/ProtectedConservedArea_2023.gdb")
+hb6 <- terra::vect("inst/extdata/map6.gpkg") |>
+    terra::project(cpa)
+
+protected_area_overlap <- as.data.frame(hb6[, "HYBAS_ID"])
+protected_area_overlap$area_m2 <- terra::expanse(hb6)
+
+geom_intersect <- terra::intersect(cpa[, "ZONE_ID"], hb6[, "HYBAS_ID"])
+
+df_intersect <- as.data.frame(geom_intersect)
+df_intersect$area_m2 <- terra::expanse(geom_intersect)
+
+
+protected_area_overlap <- protected_area_overlap |>
+    dplyr::inner_join(
+        df_intersect |>
+            dplyr::group_by(HYBAS_ID) |>
+            dplyr::summarise(overlap_area_m2 = sum(area_m2))
+    ) |>
+    dplyr::mutate(
+        perc_overlap = 100 * overlap_area_m2 / area_m2
+    )
+
+# checks
+# jj  <- df_intersect[df_intersect$HYBAS_ID == 8060043200, ]
+# cpa[cpa$ZONE_ID %in% jj$ZONE_ID, ]
+# ll$Shape_Area |> sum()
+# hb6[hb6$HYBAS_ID == 8060043200, ]  |> terra::expanse()
+# #
+# hb6[hb6$HYBAS_ID == 8060043200, ] |> plot()
+# plot(geom_intersect[geom_intersect$HYBAS_ID == 8060043200, ], col = "#99999999", add = TRUE)
+
+#------------- WRITE CSV
+protected_area_overlap |>
+    readr::write_csv("inst/extdata/protected_area_overlap.csv")
\ No newline at end of file
diff --git a/inst/extdata/Scaling_calcs.xlsx b/inst/extdata/Scaling_calcs.xlsx
new file mode 100644
index 0000000..c558651
Binary files /dev/null and b/inst/extdata/Scaling_calcs.xlsx differ
diff --git a/Analysis/Calculating indices/Spp_dist_HYBAS6_20230125.csv b/inst/extdata/Spp_dist_HYBAS6_20230125.csv
similarity index 100%
rename from Analysis/Calculating indices/Spp_dist_HYBAS6_20230125.csv
rename to inst/extdata/Spp_dist_HYBAS6_20230125.csv
diff --git a/inst/extdata/Variable_data_20241018.xlsx b/inst/extdata/Variable_data_20241018.xlsx
new file mode 100644
index 0000000..416495c
Binary files /dev/null and b/inst/extdata/Variable_data_20241018.xlsx differ
diff --git a/Analysis/Hybas5_data.csv b/inst/extdata/hybas5/Hybas5_data.csv
similarity index 100%
rename from Analysis/Hybas5_data.csv
rename to inst/extdata/hybas5/Hybas5_data.csv
diff --git a/Analysis/Calculating indices/Spp_dist_HYBAS5_20230125.csv b/inst/extdata/hybas5/Spp_dist_HYBAS5_20230125.csv
similarity index 100%
rename from Analysis/Calculating indices/Spp_dist_HYBAS5_20230125.csv
rename to inst/extdata/hybas5/Spp_dist_HYBAS5_20230125.csv
diff --git a/inst/extdata/hybas5/apply_weight_lvl.R b/inst/extdata/hybas5/apply_weight_lvl.R
new file mode 100644
index 0000000..919c509
--- /dev/null
+++ b/inst/extdata/hybas5/apply_weight_lvl.R
@@ -0,0 +1,74 @@
+apply_weight_lvl5 <- function() {
+    ### read weightings
+    weights <- path_input_data("Co_author_weightings.csv") |>
+        readr::read_csv(show_col_types = FALSE)
+
+    med_weights <- weights |>
+        dplyr::select(-Co_author) |>
+        dplyr::summarise_all(stats::median) |>
+        tidyr::pivot_longer(
+            cols = dplyr::everything(),
+            names_to = "Variable",
+            values_to = "Weight"
+        )
+
+    # -----------------------------------------------------------------
+    # Level 5 (no longer used)
+    # priorities for Protected areas
+    data5 <- path_input_data("Hybas5_data.csv") |>
+        readr::read_csv(show_col_types = FALSE) |>
+        dplyr::mutate(protection_score = WSI_n * med_weights$Weight[1] +
+            FBCI_n * med_weights$Weight[2] +
+            CCI_n * med_weights$Weight[3] +
+            SARI_n * med_weights$Weight[4] +
+            Fish_richness_n * med_weights$Weight[5] +
+            Priority_n * med_weights$Weight[6]) |>
+        # ranked within FEOW
+        dplyr::arrange(FEOW_ID, -protection_score) |>
+        dplyr::group_by(FEOW_ID) |>
+        dplyr::mutate(Prot_rank_feow = dplyr::row_number()) |>
+        # priorities for restoration
+        dplyr::mutate(restoration_score = WSI_n * med_weights$Weight[7] +
+            FBCI_n * med_weights$Weight[8] +
+            CCI_n * med_weights$Weight[9] +
+            SARI_n * med_weights$Weight[10] +
+            Fish_richness_n * med_weights$Weight[11] +
+            Priority_n * med_weights$Weight[12]) |>
+        # ranked within FEOW
+        dplyr::ungroup() |>
+        dplyr::arrange(FEOW_ID, -restoration_score) |>
+        dplyr::group_by(FEOW_ID) |>
+        dplyr::mutate(Rest_rank_feow = dplyr::row_number()) |>
+        # priorities for SAR
+        dplyr::mutate(SAR_score = WSI_n * med_weights$Weight[13] +
+            FBCI_n * med_weights$Weight[14] +
+            CCI_n * med_weights$Weight[15] +
+            SARI_n * med_weights$Weight[16] +
+            Fish_richness_n * med_weights$Weight[17] +
+            Priority_n * med_weights$Weight[18]) |>
+        # ranked within FEOW
+        dplyr::ungroup() |>
+        dplyr::arrange(FEOW_ID, -SAR_score) |>
+        dplyr::group_by(FEOW_ID) |>
+        dplyr::mutate(SAR_rank_feow = dplyr::row_number()) |>
+        # priorities for AIS
+        dplyr::mutate(AIS_score = WSI_n * med_weights$Weight[19] +
+            FBCI_n * med_weights$Weight[20] +
+            CCI_n * med_weights$Weight[21] +
+            SARI_n * med_weights$Weight[22] +
+            Fish_richness_n * med_weights$Weight[23] +
+            Priority_n * med_weights$Weight[24]) |>
+        # ranked within FEOW
+        dplyr::ungroup() |>
+        dplyr::arrange(FEOW_ID, -AIS_score) |>
+        dplyr::group_by(FEOW_ID) |>
+        dplyr::mutate(AIS_rank_feow = dplyr::row_number())
+
+    # write csv file
+    readr::write_csv(
+        data5,
+        path_output_data("watershed_prioritization_level5.csv")
+    )
+
+    data5
+}
\ No newline at end of file
diff --git a/inst/extdata/hybas5/rarity.R b/inst/extdata/hybas5/rarity.R
new file mode 100644
index 0000000..94dcb51
--- /dev/null
+++ b/inst/extdata/hybas5/rarity.R
@@ -0,0 +1,42 @@
+rarity_lvl5 <- function() {
+    # ------------------------ Hydrobasin 5
+    fishPA5 <- path_input_data("Spp_dist_HYBAS5_20230125.csv") |>
+        readr::read_csv()
+
+    # change the SAR indicator of '2' to a presence indicator of '1'
+    fishPA5[fishPA5 == 2] <- 1
+
+    Pvals <- fishPA5 |>
+        dplyr::summarize_all(.funs = "mean")
+    Pvals <- purrr::as_vector(Pvals)
+    Pvals <- Pvals[-1]
+    Qvals <- 1 - Pvals
+    TotalQ <- sum(Qvals)
+
+    #
+    Ivals <- fishPA5
+    for (i in 2:ncol(Ivals)) {
+        Ivals[i] <- Ivals[i] * Qvals[i - 1]
+    }
+
+    Ivals <- Ivals |>
+        dplyr::rowwise() |>
+        dplyr::mutate(
+            QijSij = sum(
+                dplyr::c_across(Acipenser_brevirostrum:Percina_shumardi)
+            ),
+            richness = sum(
+                dplyr::c_across(Acipenser_brevirostrum:Percina_shumardi) > 0
+            )
+        ) |>
+        dplyr::mutate(
+            Ii = QijSij / TotalQ,
+            Qi = QijSij / richness
+        )
+
+    hb_lvl5 <- Ivals |> dplyr::select(HYBAS_ID, Ii, Qi)
+    readr::write_csv(
+        hb_lvl5,
+        path_output_data("H5_importance_priority.csv")
+    )
+}
\ No newline at end of file
diff --git a/inst/extdata/hyc_6_feow_join.csv b/inst/extdata/hyc_6_feow_join.csv
new file mode 100644
index 0000000..78fd108
--- /dev/null
+++ b/inst/extdata/hyc_6_feow_join.csv
@@ -0,0 +1,1382 @@
+HYBAS_ID,FEOW_ID
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diff --git a/Analysis/FEOWscalingcorrected/level6ranks.csv b/inst/extdata/level6ranks.csv
similarity index 100%
rename from Analysis/FEOWscalingcorrected/level6ranks.csv
rename to inst/extdata/level6ranks.csv
diff --git a/Analysis/map5.gpkg b/inst/extdata/map5.gpkg
similarity index 100%
rename from Analysis/map5.gpkg
rename to inst/extdata/map5.gpkg
diff --git a/Analysis/map6.gpkg b/inst/extdata/map6.gpkg
similarity index 100%
rename from Analysis/map6.gpkg
rename to inst/extdata/map6.gpkg
diff --git a/inst/extdata/protected_area_overlap.csv b/inst/extdata/protected_area_overlap.csv
new file mode 100644
index 0000000..fd594f7
--- /dev/null
+++ b/inst/extdata/protected_area_overlap.csv
@@ -0,0 +1,940 @@
+HYBAS_ID,area_m2,overlap_area_m2,perc_overlap
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diff --git a/man/apply_weight.Rd b/man/apply_weight.Rd
new file mode 100644
index 0000000..d1bfe2a
--- /dev/null
+++ b/man/apply_weight.Rd
@@ -0,0 +1,20 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/apply_weight.R
+\name{apply_weight}
+\alias{apply_weight}
+\title{Applying expert weight}
+\usage{
+apply_weight()
+}
+\value{
+write \code{watershed_prioritization_level6.csv}
+}
+\description{
+Median values of expert weights used to generate weighted-scores for:
+\itemize{
+\item Area-based protection
+\item Restoration
+\item SAR management
+\item Invasive species management
+}
+}
diff --git a/man/compute_fish_priority_index.Rd b/man/compute_fish_priority_index.Rd
new file mode 100644
index 0000000..f3a08c0
--- /dev/null
+++ b/man/compute_fish_priority_index.Rd
@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/compute_priority.R
+\name{compute_fish_priority_index}
+\alias{compute_fish_priority_index}
+\title{Calculate rarity indices}
+\usage{
+compute_fish_priority_index()
+}
+\description{
+Calculate rarity indices
+}
+\details{
+Calculation based on Q index in Minns (1987).
+}
+\references{
+\itemize{
+\item Minns, C. K. 'A Method of Ranking Species and Sites for Conservation Using
+Presence-Absence Data and Its Application to Native Freshwater Fish in New
+Zealand. New Zealand Journal of Zoology 14, no. 1 (January 1987): 43–49.
+https://doi.org/10.1080/03014223.1987.10422680.
+}
+}
diff --git a/man/feow_scaling.Rd b/man/feow_scaling.Rd
new file mode 100644
index 0000000..1b02693
--- /dev/null
+++ b/man/feow_scaling.Rd
@@ -0,0 +1,17 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/feow_scaling.R
+\name{feow_scaling}
+\alias{feow_scaling}
+\title{FEOW scaling}
+\usage{
+feow_scaling()
+}
+\description{
+Scaling ranks level 6 hydrobasins within canadian FEOWs (Freshwater
+Ecoregions of the World).
+}
+\details{
+The scaling enables comparison between regions, considering that regions
+have varying numbers of watersheds and, consequently, different value ranges
+for ranking.
+}
diff --git a/man/generate_priorization_data.Rd b/man/generate_priorization_data.Rd
new file mode 100644
index 0000000..4bb4aaa
--- /dev/null
+++ b/man/generate_priorization_data.Rd
@@ -0,0 +1,43 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/generate_priorization.R
+\name{generate_priorization_data}
+\alias{generate_priorization_data}
+\title{Generate prirization main data frame.}
+\usage{
+generate_priorization_data()
+}
+\value{
+A data frame with the following columns:
+\itemize{
+\item HYBAS_ID: Hydrobassin identifier ,
+\item FEOW_ID: Freshwater Ecoregions of the World identifier,
+\item WSI_n: Watershed stress index from Hirsh-Pearson (2022),
+\item FBCI_n: Fish biodiversity change index. Calculate Jaccard dissimilarity
+for native spp pool vs. current native + non-native spp pool.
+\item CCI_n: Climate change velocities based on CMIP6 SSP2-4.5 forward
+velocities for 2040-2070 period.
+\item SARI_n: Species at risk management
+\item Fish_richness_n: Species richness.
+\item Priority_n: Index of priority based on Minns rarity index (1987).
+Bote that columns ending with \verb{_n} are normalized.
+}
+}
+\description{
+Generate prirization main data frame.
+}
+\details{
+Note that raw data are embeded in the R package in \code{extdata} folder.
+}
+\references{
+\itemize{
+\item Hirsh-Pearson, Kristen, Chris J. Johnson, Richard Schuster, Roger D.
+Wheate, and Oscar Venter. 'Canada’s Human Footprint Reveals Large Intact
+Areas Juxtaposed against Areas under Immense Anthropogenic Pressure.' Edited
+by Raymond Bradley. FACETS 7 (January 1, 2022): 398–419.
+https://doi.org/10.1139/facets-2021-0063.
+\item Minns, C. K. 'A Method of Ranking Species and Sites for Conservation Using
+Presence-Absence Data and Its Application to Native Freshwater Fish in New
+Zealand. New Zealand Journal of Zoology 14, no. 1 (January 1987): 43–49.
+https://doi.org/10.1080/03014223.1987.10422680.
+}
+}
diff --git a/man/get_results.Rd b/man/get_results.Rd
new file mode 100644
index 0000000..56c744b
--- /dev/null
+++ b/man/get_results.Rd
@@ -0,0 +1,11 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/results.R
+\name{get_results}
+\alias{get_results}
+\title{Results}
+\usage{
+get_results()
+}
+\description{
+Results
+}
diff --git a/man/run_pipeline.Rd b/man/run_pipeline.Rd
new file mode 100644
index 0000000..db21161
--- /dev/null
+++ b/man/run_pipeline.Rd
@@ -0,0 +1,11 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/pipeline.R
+\name{run_pipeline}
+\alias{run_pipeline}
+\title{Pipeline}
+\usage{
+run_pipeline()
+}
+\description{
+This function runs all the steps the reproduce the analysis.
+}
diff --git a/tests/testthat.R b/tests/testthat.R
new file mode 100644
index 0000000..a862733
--- /dev/null
+++ b/tests/testthat.R
@@ -0,0 +1,12 @@
+# This file is part of the standard setup for testthat.
+# It is recommended that you do not modify it.
+#
+# Where should you do additional test configuration?
+# Learn more about the roles of various files in:
+# * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
+# * https://testthat.r-lib.org/articles/special-files.html
+
+library(testthat)
+library(watershedPrioritization)
+
+test_check("watershedPrioritization")
diff --git a/tests/testthat/test-rank-helper.R b/tests/testthat/test-rank-helper.R
new file mode 100644
index 0000000..9ad8192
--- /dev/null
+++ b/tests/testthat/test-rank-helper.R
@@ -0,0 +1,11 @@
+test_that("rank helper works", {
+  expect_equal(scale_rank(c(1, 2)), c(1,100))
+  expect_equal(scale_rank(c(1, 2, 3, 4)), c(1, 34, 67, 100))
+  expect_error(scale_rank(1))
+})
+
+test_that("rank helper works", {
+  expect_equal(scale_min_max(c(1, 2)), c(0, 100))
+  expect_equal(scale_min_max(c(1, 2, 3, 4)), c(0, 100/3, 200/3, 100))
+  expect_error(scale_min_max(1))
+})