diff --git a/news/index.html b/news/index.html index 339040c..5eb0de3 100644 --- a/news/index.html +++ b/news/index.html @@ -37,7 +37,7 @@

geocn 0.2.0

-

geocn 0.1.0

diff --git a/pkgdown.yml b/pkgdown.yml index 1f54d0d..71deee0 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -3,7 +3,7 @@ pkgdown: 2.1.1 pkgdown_sha: ~ articles: geocn: geocn.html -last_built: 2024-10-06T08:09Z +last_built: 2024-10-06T08:26Z urls: reference: https://stscl.github.io/geocn/reference article: https://stscl.github.io/geocn/articles diff --git a/reference/load_world_country.html b/reference/load_world_country.html index 77bf94c..94e871f 100644 --- a/reference/load_world_country.html +++ b/reference/load_world_country.html @@ -66,31 +66,26 @@

Details

Examples

load_world_country()
-#> Simple feature collection with 249 features and 39 fields
+#> Simple feature collection with 249 features and 7 fields
 #> Geometry type: MULTIPOLYGON
 #> Dimension:     XY
 #> Bounding box:  xmin: -180 ymin: -90 xmax: 180 ymax: 83.6341
 #> Geodetic CRS:  WGS 84
-#> # A tibble: 249 × 40
-#>    country1     country2 capital1 capital2 scalerank labelrank sovereignt sov_a3
-#>    <chr>        <chr>    <chr>    <chr>        <int>     <dbl> <chr>      <chr> 
-#>  1 阿鲁巴       Aruba    奥拉涅…  Oranjes…         3         5 Netherlan… NL1   
-#>  2 阿富汗       Afghani… 喀布尔   Kabul            0         3 Afghanist… AFG   
-#>  3 安哥拉       Angola   罗安达   Luanda           0         3 Angola     AGO   
-#>  4 安圭拉       Anguilla 瓦利     The Val…         3         6 United Ki… GB1   
-#>  5 阿尔巴尼亚   Albania  地拉那   Tirana           0         6 Albania    ALB   
-#>  6 奥兰群岛     Aland I… 玛丽港   Marieha…         3         6 Finland    FI1   
-#>  7 安道尔共和国 Andorra  安道尔   Andorra…         0         6 Andorra    AND   
-#>  8 阿拉伯联合…  United … 阿布扎比 Abu Dha…         0         4 United Ar… ARE   
-#>  9 阿根廷       Argenti… 布宜诺…  BuenosA…         0         2 Argentina  ARG   
-#> 10 亚美尼亚     Armenia  埃里温   Yerevan          0         6 Armenia    ARM   
+#> # A tibble: 249 × 8
+#>    country1         country2       capital1 capital2 continent iso_a2 adm0_a3_us
+#>    <chr>            <chr>          <chr>    <chr>    <chr>     <chr>  <chr>     
+#>  1 阿鲁巴           Aruba          奥拉涅…  Oranjes… North Am… AW     ABW       
+#>  2 阿富汗           Afghanistan    喀布尔   Kabul    Asia      AF     AFG       
+#>  3 安哥拉           Angola         罗安达   Luanda   Africa    AO     AGO       
+#>  4 安圭拉           Anguilla       瓦利     The Val… North Am… AI     AIA       
+#>  5 阿尔巴尼亚       Albania        地拉那   Tirana   Europe    AL     ALB       
+#>  6 奥兰群岛         Aland Islands  玛丽港   Marieha… Europe    AX     ALD       
+#>  7 安道尔共和国     Andorra        安道尔   Andorra… Europe    AD     AND       
+#>  8 阿拉伯联合酋长国 United Arab E… 阿布扎比 Abu Dha… Asia      AE     ARE       
+#>  9 阿根廷           Argentina      布宜诺…  BuenosA… South Am… AR     ARG       
+#> 10 亚美尼亚         Armenia        埃里温   Yerevan  Asia      AM     ARM       
 #> # ℹ 239 more rows
-#> # ℹ 32 more variables: type <chr>, name <chr>, name_long <chr>, abbrev <chr>,
-#> #   postal <chr>, formal_en <chr>, formal_fr <chr>, note_adm0 <chr>,
-#> #   note_brk <chr>, name_sort <chr>, name_alt <chr>, mapcolor7 <dbl>,
-#> #   mapcolor8 <dbl>, mapcolor9 <dbl>, mapcolor13 <dbl>, pop_est <dbl>,
-#> #   gdp_md_est <dbl>, pop_year <dbl>, lastcensus <dbl>, gdp_year <dbl>,
-#> #   economy <chr>, income_grp <chr>, iso_a2 <chr>, iso_n3 <chr>, un_a3 <chr>, …
+#> # ℹ 1 more variable: geometry <MULTIPOLYGON [°]>

diff --git a/search.json b/search.json index 6c15230..13a52ac 100644 --- a/search.json +++ b/search.json @@ -1 +1 @@ -[{"path":"https://stscl.github.io/geocn/articles/geocn.html","id":"available-data-sets","dir":"Articles","previous_headings":"","what":"Available data sets","title":"Loads Spatial Data Sets Related to China","text":"geocn package covers 19 spatial data sets, including variety relevant data global Chinese regions. can view data sets available using list_geocn() function.","code":"library(sf) ## Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE library(geocn) library(ggplot2) datasets_geocn = list_geocn() datasets_geocn ## # A tibble: 19 × 2 ## functions results ## ## 1 load_world_country Global Country Boundaries ## 2 load_world_continent Global Continents ## 3 load_world_coastline Global Coastlines ## 4 load_world_ocean Global Oceans ## 5 load_world_lake Global Lakes ## 6 load_world_river Global Rivers ## 7 load_cn_province Province-Level Administrative Units in China ## 8 load_cn_city City-Level Administrative Units in China ## 9 load_cn_county County-Level Administrative Units in China ## 10 load_cn_border China's Land Border Line and the 10-dash line of the… ## 11 load_cn_landborder China's Land Border ## 12 load_cn_coastline Coastline of China ## 13 load_cn_tenline 10-dash line of the South China Sea ## 14 load_cn_landcoast China's Land Border and Coastline ## 15 load_tibetan_plateau Tibetan Plateau Boundary ## 16 load_loess_plateau Loess Plateau Boundary ## 17 load_yangtze_basin Yangtze River Basin Boundary ## 18 load_yellow_river_basin Yellow River Basin Boundary ## 19 load_weihe_basin Weihe River Basin Boundary"},{"path":"https://stscl.github.io/geocn/articles/geocn.html","id":"commonly-used-crs-for-drawing-maps-of-china","dir":"Articles","previous_headings":"","what":"Commonly Used CRS for Drawing Maps of China","title":"Loads Spatial Data Sets Related to China","text":"load_cn_alberproj() function can used obtain CRS information available sf terra packages. default, returns sf format. However, can specify return format output parameter.","code":"albers = load_cn_alberproj() province = load_cn_province() ## Warning in CPL_read_ogr(dsn, layer, query, as.character(options), quiet, : GDAL ## Message 1: organizePolygons() received a polygon with more than 100 parts. The ## processing may be really slow. You can skip the processing by setting ## METHOD=SKIP. ggplot(data = province) + geom_sf(fill = 'grey90', color = 'grey') + theme_bw() province_albers = st_transform(province,albers) ggplot(data = province_albers) + geom_sf(fill = 'grey90', color = 'grey') + theme_bw()"},{"path":"https://stscl.github.io/geocn/articles/geocn.html","id":"region-specific-crs-transformation-in-china","dir":"Articles","previous_headings":"","what":"Region-specific CRS Transformation in China","title":"Loads Spatial Data Sets Related to China","text":"section primarily focuses conversion GCJ02, BD09, WGS84 coordinate systems. geocn provides st_transform_cn() function achieve conversion. need input longitude latitude coordinate vectors transformed function parameters lon lat, specify CRS transformation CRS transformed. Please note st_transform_cn() function, parameters respectively refer wgs, gcj, bd WGS84, GCJ02, BD09 coordinate systems. Default Conversion GCJ02 WGS84.","code":"lon = c(126.626510,126.625261,126.626378,126.626541,126.626721,126.627732,126.626510) lat = c(45.731596,45.729834,45.729435,45.729676,45.729604,45.730915,45.731596) st_transform_cn(lon,lat) ## # A tibble: 7 × 2 ## lon lat ## ## 1 127. 45.7 ## 2 127. 45.7 ## 3 127. 45.7 ## 4 127. 45.7 ## 5 127. 45.7 ## 6 127. 45.7 ## 7 127. 45.7"},{"path":"https://stscl.github.io/geocn/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Wenbo Lv. Author, maintainer.","code":""},{"path":"https://stscl.github.io/geocn/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Lv W (2024). geocn: Loads Spatial Data Sets China. R package version 0.2.0, https://github.com/stscl/geocn, https://stscl.github.io/geocn/.","code":"@Manual{, title = {geocn: Loads Spatial Data Sets of China}, author = {Wenbo Lv}, year = {2024}, note = {R package version 0.2.0, https://github.com/stscl/geocn}, url = {https://stscl.github.io/geocn/}, }"},{"path":"https://stscl.github.io/geocn/index.html","id":"geocn-","dir":"","previous_headings":"","what":"geocn | Loads Spatial Data Sets of China\n","title":"geocn | Loads Spatial Data Sets of China\n","text":"goal geocn provide various commonly used spatial data related Chinese regions R programming environment.","code":""},{"path":"https://stscl.github.io/geocn/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"geocn | Loads Spatial Data Sets of China\n","text":"Install development binary version R-universe : Install development source version GitHub :","code":"install.packages(\"geocn\", repos = c(\"https://stscl.r-universe.dev\", \"https://cloud.r-project.org\"), dep = TRUE) # install.packages(\"devtools\") devtools::install_github(\"stscl/geocn\", build_vignettes = TRUE, dep = TRUE)"},{"path":[]},{"path":"https://stscl.github.io/geocn/index.html","id":"drawing-a-map-of-china-using-ggplot2","dir":"","previous_headings":"Example","what":"Drawing a Map of China Using ggplot2","title":"geocn | Loads Spatial Data Sets of China\n","text":"","code":"library(sf) library(ggplot2) library(cowplot) library(geocn) albers = load_cn_alberproj() province = load_cn_province() tenline = load_cn_tenline() ocean = load_world_ocean() lakes = load_world_lake() coastline = load_world_coastline() ggplot() + geom_sf(data = ocean,fill=\"#BEE8FF\",color=\"white\",size=.1) + geom_sf(data = coastline,color=\"#252525\",size=.5) + geom_sf(data = province,fill=\"white\",size=.1,color=\"grey\") + geom_sf(data = lakes,fill=\"#BEE8FF\",color=\"white\",size=.1) + geom_sf(data = tenline,size=.2,color=\"#9d98b7\") + ggfx::with_shadow(geom_sf(data = tenline,size=.2,color=\"#9d98b7\") , sigma = 3,x_offset = -5,y_offset = -2) -> fig1 fig1 + coord_sf(crs = albers, ylim = c(1500000,6000000), xlim = c(-3100000,2000000), expand = FALSE) + theme_bw() + theme(plot.background = element_rect(\"grey97\", fill = NA), axis.text = element_blank(), axis.ticks = element_blank(), axis.title = element_blank()) -> china.main fig1 + coord_sf(crs = albers, ylim = c(273000,2800000), xlim = c(-350000,1350000)) + theme_minimal() + theme( axis.text = element_blank(), axis.ticks = element_blank(), axis.title = element_blank(), panel.grid = element_blank(), panel.background = element_rect(\"#BEE8FF\", color = NA), panel.border = element_rect(fill=NA, linetype = 1, linewidth = 0.5), plot.margin=unit(c(0,0,0,0),\"cm\")) -> china.ocean ggdraw() + draw_plot(china.main) + draw_plot(china.ocean,x = .815, y = .015, width = .13, height = .20) -> cnmap1 cnmap1"},{"path":"https://stscl.github.io/geocn/index.html","id":"drawing-a-map-of-china-using-tmap","dir":"","previous_headings":"Example","what":"Drawing a Map of China Using tmap","title":"geocn | Loads Spatial Data Sets of China\n","text":"","code":"library(sf) library(tmap) library(cowplot) library(geocn) albers = load_cn_alberproj() cn_border = load_cn_border() main_border = load_cn_landcoast() tenline = load_cn_tenline() province = load_cn_province() tm_shape(main_border, projection = albers) + tm_lines(col = NA,lwd = 0.01) + tm_shape(province) + tm_fill(col = 'white',alpha = .5) + tm_borders(col = 'grey40', lwd = 1.25) + tm_shape(cn_border) + tm_lines(col='#9d98b7',lwd = 2.5) + tm_scale_bar(position = c(0.05,0.01), width = 0.15,text.size = 1.05, lwd = 2) + tm_compass(position = c(0.05,0.9), just = 'center',size = 1.5, text.size = .65,show.labels = 1) + tm_layout(legend.width = 0.75, legend.text.size = 1, legend.height = 1.75, legend.position = c(0.045,0.075), compass.type = \"arrow\", fontfamily = \"serif\") -> cn_mainplot tm_shape(tenline, projection = albers) + tm_lines(col=NA,lwd=0.01) + tm_shape(province) + tm_fill(col = 'white',alpha = .5) + tm_borders(col = 'grey40', lwd = 1.25) + tm_shape(cn_border) + tm_lines(col='#9d98b7',lwd = 2.5) -> cn_miniplot ggdraw() + draw_plot(tmap_grob(cn_mainplot)) + draw_plot(tmap_grob(cn_miniplot), halign = 0.5,valign = 0.5, height = 0.2, x = 0.427, y = 0.019) -> cnmap2 cnmap2"},{"path":"https://stscl.github.io/geocn/reference/list_geocn.html","id":null,"dir":"Reference","previous_headings":"","what":"List all data sets available in the geocn package — list_geocn","title":"List all data sets available in the geocn package — list_geocn","text":"Returns tibble datasets available geocn package.","code":""},{"path":"https://stscl.github.io/geocn/reference/list_geocn.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List all data sets available in the geocn package — list_geocn","text":"","code":"list_geocn()"},{"path":"https://stscl.github.io/geocn/reference/list_geocn.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List all data sets available in the geocn package — list_geocn","text":"tibble","code":""},{"path":"https://stscl.github.io/geocn/reference/list_geocn.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"List all data sets available in the geocn package — list_geocn","text":"","code":"list_geocn() #> # A tibble: 19 × 2 #> functions results #> #> 1 load_world_country Global Country Boundaries #> 2 load_world_continent Global Continents #> 3 load_world_coastline Global Coastlines #> 4 load_world_ocean Global Oceans #> 5 load_world_lake Global Lakes #> 6 load_world_river Global Rivers #> 7 load_cn_province Province-Level Administrative Units in China #> 8 load_cn_city City-Level Administrative Units in China #> 9 load_cn_county County-Level Administrative Units in China #> 10 load_cn_border China's Land Border Line and the 10-dash line of the… #> 11 load_cn_landborder China's Land Border #> 12 load_cn_coastline Coastline of China #> 13 load_cn_tenline 10-dash line of the South China Sea #> 14 load_cn_landcoast China's Land Border and Coastline #> 15 load_tibetan_plateau Tibetan Plateau Boundary #> 16 load_loess_plateau Loess Plateau Boundary #> 17 load_yangtze_basin Yangtze River Basin Boundary #> 18 load_yellow_river_basin Yellow River Basin Boundary #> 19 load_weihe_basin Weihe River Basin Boundary"},{"path":"https://stscl.github.io/geocn/reference/load_cn_alberproj.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","title":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","text":"Loading commonly used Albers Lambert projection China region.","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_alberproj.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","text":"","code":"load_cn_alberproj(output = \"sf\")"},{"path":"https://stscl.github.io/geocn/reference/load_cn_alberproj.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","text":"output (optional) Output format, must sf terra. Default sf.","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_alberproj.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","text":"Available Projection CRS.","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_alberproj.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","text":"","code":"load_cn_alberproj() #> Coordinate Reference System: #> User input: +proj=aea +lat_1=25 +lat_2=47 +lat_0=0 +lon_0=110 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs #> wkt: #> PROJCRS[\"unknown\", #> BASEGEOGCRS[\"unknown\", #> DATUM[\"World Geodetic System 1984\", #> ELLIPSOID[\"WGS 84\",6378137,298.257223563, #> LENGTHUNIT[\"metre\",1]], #> ID[\"EPSG\",6326]], #> PRIMEM[\"Greenwich\",0, #> ANGLEUNIT[\"degree\",0.0174532925199433], #> ID[\"EPSG\",8901]]], #> CONVERSION[\"unknown\", #> METHOD[\"Albers Equal Area\", #> ID[\"EPSG\",9822]], #> PARAMETER[\"Latitude of false origin\",0, #> ANGLEUNIT[\"degree\",0.0174532925199433], #> ID[\"EPSG\",8821]], #> PARAMETER[\"Longitude of false origin\",110, #> ANGLEUNIT[\"degree\",0.0174532925199433], #> ID[\"EPSG\",8822]], #> PARAMETER[\"Latitude of 1st standard parallel\",25, #> ANGLEUNIT[\"degree\",0.0174532925199433], #> ID[\"EPSG\",8823]], #> PARAMETER[\"Latitude of 2nd standard parallel\",47, #> ANGLEUNIT[\"degree\",0.0174532925199433], #> ID[\"EPSG\",8824]], #> PARAMETER[\"Easting at false origin\",0, #> LENGTHUNIT[\"metre\",1], #> ID[\"EPSG\",8826]], #> PARAMETER[\"Northing at false origin\",0, #> LENGTHUNIT[\"metre\",1], #> ID[\"EPSG\",8827]]], #> CS[Cartesian,2], #> AXIS[\"(E)\",east, #> ORDER[1], #> LENGTHUNIT[\"metre\",1, #> ID[\"EPSG\",9001]]], #> AXIS[\"(N)\",north, #> ORDER[2], #> LENGTHUNIT[\"metre\",1, #> ID[\"EPSG\",9001]]]]"},{"path":"https://stscl.github.io/geocn/reference/load_cn_border.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading China's Land Border Line and the 10-dash line of the South China Sea — load_cn_border","title":"Loading China's Land Border Line and the 10-dash line of the South China Sea — load_cn_border","text":"Loading China's Land Border Line 10-dash line South China Sea","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_border.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading China's Land Border Line and the 10-dash line of the South China Sea — load_cn_border","text":"","code":"load_cn_border()"},{"path":"https://stscl.github.io/geocn/reference/load_cn_border.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading China's Land Border Line and the 10-dash line of the South China Sea — load_cn_border","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_border.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading China's Land Border Line and the 10-dash line of the South China Sea — load_cn_border","text":"","code":"cn_border = load_cn_border() cn_border #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: 73.53085 ymin: 3.40848 xmax: 134.981 ymax: 53.51356 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((110.3232 12.2405, 110.3159 11.96466, 110.2778 11.71434, 110.2279 11.55393, …"},{"path":"https://stscl.github.io/geocn/reference/load_cn_city.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","title":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","text":"Loading Chinese City-Level Administrative Division Polygon Data","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_city.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","text":"","code":"load_cn_city(simplify = TRUE, keep = 0.05, keep_shape = TRUE, ...)"},{"path":"https://stscl.github.io/geocn/reference/load_cn_city.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","text":"simplify (optional) Whether simplify loading sf objects (default TRUE) keep (optional) Proportion points retain (0-1; default 0.05) keep_shape (optional) Prevent small polygon features disappearing high simplification (default TRUE) ... (optional) arguments passed rmapshaper::ms_simplify()","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_city.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","text":"Whether simplify loading sf objects","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_city.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","text":"","code":"library(sf) #> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE city = load_cn_city() #> Warning: GDAL Message 1: organizePolygons() received a polygon with more than 100 parts. The processing may be really slow. You can skip the processing by setting METHOD=SKIP. city #> Simple feature collection with 371 features and 6 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: 73.50655 ymin: 3.83703 xmax: 135.0945 ymax: 53.56362 #> Geodetic CRS: WGS 84 #> # A tibble: 371 × 7 #> 省 省代码 市类型 省类型 市 市代码 geometry #> #> 1 安徽省 340000 地级市 省 安庆市 340800 (((117.1507 31.07444, 117.1304 31.… #> 2 安徽省 340000 地级市 省 蚌埠市 340300 (((117.9735 33.33581, 117.9467 33.… #> 3 安徽省 340000 地级市 省 亳州市 341600 (((116.3881 33.78433, 116.3432 33.… #> 4 安徽省 340000 地级市 省 池州市 341700 (((118.0955 30.64345, 118.0941 30.… #> 5 安徽省 340000 地级市 省 滁州市 341100 (((119.1795 32.82747, 119.1075 32.… #> 6 安徽省 340000 地级市 省 阜阳市 341200 (((116.3891 32.89303, 116.3654 32.… #> 7 安徽省 340000 地级市 省 合肥市 340100 (((117.1955 32.53608, 117.1521 32.… #> 8 安徽省 340000 地级市 省 淮北市 340600 (((116.9182 33.30882, 116.9242 33.… #> 9 安徽省 340000 地级市 省 淮南市 340400 (((117.1903 32.73662, 117.1503 32.… #> 10 安徽省 340000 地级市 省 黄山市 341000 (((118.864 30.10411, 118.8452 30.1… #> # ℹ 361 more rows"},{"path":"https://stscl.github.io/geocn/reference/load_cn_coastline.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Coastline of China — load_cn_coastline","title":"Loading Coastline of China — load_cn_coastline","text":"Loading Coastline China","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_coastline.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Coastline of China — load_cn_coastline","text":"","code":"load_cn_coastline()"},{"path":"https://stscl.github.io/geocn/reference/load_cn_coastline.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Coastline of China — load_cn_coastline","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_coastline.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Coastline of China — load_cn_coastline","text":"","code":"cn_coastline = load_cn_coastline() cn_coastline #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: 105.5271 ymin: 18.12558 xmax: 131.2247 ymax: 43.45281 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((114.6479 22.46397, 114.6478 22.46406, 114.6477 22.46414, 114.6477 22.46423,…"},{"path":"https://stscl.github.io/geocn/reference/load_cn_county.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","title":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","text":"Loading Chinese County-Level Administrative Division Polygon Data","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_county.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","text":"","code":"load_cn_county(simplify = TRUE, keep = 0.05, keep_shape = TRUE, ...)"},{"path":"https://stscl.github.io/geocn/reference/load_cn_county.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","text":"simplify (optional) Whether simplify loading sf objects (default TRUE) keep (optional) Proportion points retain (0-1; default 0.05) keep_shape (optional) Prevent small polygon features disappearing high simplification (default TRUE) ... (optional) arguments passed rmapshaper::ms_simplify()","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_county.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","text":"Whether simplify loading sf objects","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_county.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","text":"","code":"library(sf) county = load_cn_county() county #> Simple feature collection with 2877 features and 9 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: 73.50655 ymin: 3.83703 xmax: 135.0945 ymax: 53.56362 #> Geodetic CRS: WGS 84 #> # A tibble: 2,877 × 10 #> 省 省代码 市类型 省类型 市 市代码 县 县代码 县类型 #> #> 1 安徽省 340000 地级市 省 安庆市 340800 大观区 340803 市辖区 #> 2 安徽省 340000 地级市 省 安庆市 340800 怀宁县 340822 县 #> 3 安徽省 340000 地级市 省 安庆市 340800 潜山市 340882 县级市 #> 4 安徽省 340000 地级市 省 安庆市 340800 宿松县 340826 县 #> 5 安徽省 340000 地级市 省 安庆市 340800 太湖县 340825 县 #> 6 安徽省 340000 地级市 省 安庆市 340800 桐城市 340881 县级市 #> 7 安徽省 340000 地级市 省 安庆市 340800 望江县 340827 县 #> 8 安徽省 340000 地级市 省 安庆市 340800 宜秀区 340811 市辖区 #> 9 安徽省 340000 地级市 省 安庆市 340800 迎江区 340802 市辖区 #> 10 安徽省 340000 地级市 省 安庆市 340800 岳西县 340828 县 #> # ℹ 2,867 more rows #> # ℹ 1 more variable: geometry "},{"path":"https://stscl.github.io/geocn/reference/load_cn_landborder.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading China's Land Border — load_cn_landborder","title":"Loading China's Land Border — load_cn_landborder","text":"Loading China's Land Border","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_landborder.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading China's Land Border — load_cn_landborder","text":"","code":"load_cn_landborder()"},{"path":"https://stscl.github.io/geocn/reference/load_cn_landborder.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading China's Land Border — load_cn_landborder","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_landborder.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading China's Land Border — load_cn_landborder","text":"","code":"cn_landborder = load_cn_landborder() cn_landborder #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: 73.53085 ymin: 21.15455 xmax: 134.981 ymax: 53.51356 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((124.3688 40.14596, 124.4699 40.19918, 124.5453 40.2525, 124.6446 40.30446, …"},{"path":"https://stscl.github.io/geocn/reference/load_cn_landcoast.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading China's Land Border and Coastline — load_cn_landcoast","title":"Loading China's Land Border and Coastline — load_cn_landcoast","text":"Loading China's Land Border Coastline","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_landcoast.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading China's Land Border and Coastline — load_cn_landcoast","text":"","code":"load_cn_landcoast()"},{"path":"https://stscl.github.io/geocn/reference/load_cn_landcoast.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading China's Land Border and Coastline — load_cn_landcoast","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_landcoast.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading China's Land Border and Coastline — load_cn_landcoast","text":"","code":"cn_landcoast = load_cn_landcoast() cn_landcoast #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: 73.53085 ymin: 18.12558 xmax: 134.981 ymax: 53.51356 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((124.3688 40.14596, 124.4699 40.19918, 124.5453 40.2525, 124.6446 40.30446, …"},{"path":"https://stscl.github.io/geocn/reference/load_cn_province.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","title":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","text":"Loading Chinese Province-Level Administrative Divisional Polygon Data","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_province.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","text":"","code":"load_cn_province(simplify = TRUE, keep = 0.05, keep_shape = TRUE, ...)"},{"path":"https://stscl.github.io/geocn/reference/load_cn_province.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","text":"simplify (optional) Whether simplify loading sf objects (default TRUE) keep (optional) Proportion points retain (0-1; default 0.05) keep_shape (optional) Prevent small polygon features disappearing high simplification (default TRUE) ... (optional) arguments passed rmapshaper::ms_simplify()","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_province.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","text":"Whether simplify loading sf objects","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_province.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","text":"","code":"library(sf) province = load_cn_province() province #> Simple feature collection with 34 features and 3 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: 73.50655 ymin: 3.83703 xmax: 135.0945 ymax: 53.56362 #> Geodetic CRS: WGS 84 #> # A tibble: 34 × 4 #> 省 省代码 省类型 geometry #> #> 1 安徽省 340000 省 (((119.6189 31.13254, 119.5949 31.11146, 11… #> 2 澳门特别行政区 820000 特别行政区 (((113.5538 22.21535, 113.5357 22.20232, 11… #> 3 北京市 110000 直辖市 (((117.3833 40.22652, 117.3455 40.228, 117.… #> 4 福建省 350000 省 (((118.2515 24.45437, 118.2291 24.44861, 11… #> 5 甘肃省 620000 省 (((97.17197 42.79343, 97.07261 42.77249, 96… #> 6 广东省 440000 省 (((110.5657 20.33342, 110.5895 20.36326, 11… #> 7 广西壮族自治区 450000 自治区 (((109.1361 21.03521, 109.1408 21.06023, 10… #> 8 贵州省 520000 省 (((109.5841 26.75517, 109.5573 26.75496, 10… #> 9 海南省 460000 省 (((112.0522 3.838239, 112.0614 3.857381, 11… #> 10 河北省 130000 省 (((118.6478 39.05611, 118.634 39.07486, 118… #> # ℹ 24 more rows"},{"path":"https://stscl.github.io/geocn/reference/load_cn_tenline.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the 10-dash line of the South China Sea — load_cn_tenline","title":"Loading the 10-dash line of the South China Sea — load_cn_tenline","text":"Loading 10-dash line South China Sea","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_tenline.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the 10-dash line of the South China Sea — load_cn_tenline","text":"","code":"load_cn_tenline()"},{"path":"https://stscl.github.io/geocn/reference/load_cn_tenline.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the 10-dash line of the South China Sea — load_cn_tenline","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_tenline.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the 10-dash line of the South China Sea — load_cn_tenline","text":"","code":"cn_tenline = load_cn_tenline() cn_tenline #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: 108.2035 ymin: 3.40848 xmax: 122.8166 ymax: 24.6582 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((110.3232 12.2405, 110.3159 11.96466, 110.2778 11.71434, 110.2279 11.55393, …"},{"path":"https://stscl.github.io/geocn/reference/load_loess_plateau.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the Boundary Polygon Data of Loess Plateau — load_loess_plateau","title":"Loading the Boundary Polygon Data of Loess Plateau — load_loess_plateau","text":"Loading Boundary Polygon Data Loess Plateau","code":""},{"path":"https://stscl.github.io/geocn/reference/load_loess_plateau.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the Boundary Polygon Data of Loess Plateau — load_loess_plateau","text":"","code":"load_loess_plateau()"},{"path":"https://stscl.github.io/geocn/reference/load_loess_plateau.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the Boundary Polygon Data of Loess Plateau — load_loess_plateau","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_loess_plateau.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the Boundary Polygon Data of Loess Plateau — load_loess_plateau","text":"","code":"load_loess_plateau() #> Simple feature collection with 1 feature and 1 field #> Geometry type: POLYGON #> Dimension: XY #> Bounding box: xmin: 100.8425 ymin: 33.69722 xmax: 114.5019 ymax: 41.25155 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 2 #> name geometry #> #> 1 黄土高原 ((112.1615 40.824, 112.153 40.79219, 112.1241 40.77452, 112.0995 40.…"},{"path":"https://stscl.github.io/geocn/reference/load_tibetan_plateau.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the Boundary Polygon Data of Tibetan Plateau — load_tibetan_plateau","title":"Loading the Boundary Polygon Data of Tibetan Plateau — load_tibetan_plateau","text":"Loading Boundary Polygon Data Tibetan Plateau","code":""},{"path":"https://stscl.github.io/geocn/reference/load_tibetan_plateau.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the Boundary Polygon Data of Tibetan Plateau — load_tibetan_plateau","text":"","code":"load_tibetan_plateau()"},{"path":"https://stscl.github.io/geocn/reference/load_tibetan_plateau.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the Boundary Polygon Data of Tibetan Plateau — load_tibetan_plateau","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_tibetan_plateau.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the Boundary Polygon Data of Tibetan Plateau — load_tibetan_plateau","text":"","code":"load_tibetan_plateau() #> Simple feature collection with 1 feature and 0 fields #> Geometry type: POLYGON #> Dimension: XY #> Bounding box: xmin: 73.45169 ymin: 25.95491 xmax: 104.6424 ymax: 39.91312 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((76.22701 38.39657, 76.18308 38.39721, 76.22862 38.39506, 76.22701 38.39657,…"},{"path":"https://stscl.github.io/geocn/reference/load_weihe_basin.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the Boundary Polygon Data of Weihe River Basin — load_weihe_basin","title":"Loading the Boundary Polygon Data of Weihe River Basin — load_weihe_basin","text":"Loading Boundary Polygon Data Weihe River Basin","code":""},{"path":"https://stscl.github.io/geocn/reference/load_weihe_basin.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the Boundary Polygon Data of Weihe River Basin — load_weihe_basin","text":"","code":"load_weihe_basin()"},{"path":"https://stscl.github.io/geocn/reference/load_weihe_basin.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the Boundary Polygon Data of Weihe River Basin — load_weihe_basin","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_weihe_basin.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the Boundary Polygon Data of Weihe River Basin — load_weihe_basin","text":"","code":"load_weihe_basin() #> Simple feature collection with 1 feature and 2 fields #> Geometry type: POLYGON #> Dimension: XY #> Bounding box: xmin: 103.9716 ymin: 33.69625 xmax: 110.2744 ymax: 37.40821 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 3 #> NameCN NameEN geometry #> #> 1 渭河流域 Weihe River Basin ((107.2046 37.4082, 107.2047 37.40818, 107.2048 37…"},{"path":"https://stscl.github.io/geocn/reference/load_world_coastline.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Global Coastlines — load_world_coastline","title":"Loading Global Coastlines — load_world_coastline","text":"Loading Global Coastlines","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_coastline.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Global Coastlines — load_world_coastline","text":"","code":"load_world_coastline()"},{"path":"https://stscl.github.io/geocn/reference/load_world_coastline.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Global Coastlines — load_world_coastline","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_coastline.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Global Coastlines — load_world_coastline","text":"","code":"load_world_coastline() #> Simple feature collection with 1428 features and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: -180 ymin: -85.19219 xmax: 180 ymax: 83.59961 #> Geodetic CRS: WGS 84 #> # A tibble: 1,428 × 1 #> geometry #> #> 1 ((180 -16.15293, 179.8481 -16.21426, 179.7889 -16.22148, 179.715 -16.20762, … #> 2 ((177.2575 -17.0542, 177.2874 -17.04863, 177.2758 -17.10488, 177.2342 -17.14… #> 3 ((127.3727 0.7913086, 127.3538 0.8474609, 127.3198 0.8620117, 127.2928 0.842… #> 4 ((-81.32231 24.68506, -81.42007 24.75, -81.42168 24.73262, -81.37905 24.6662… #> 5 ((-80.79941 24.84629, -80.83887 24.81787, -80.84834 24.80366, -80.82939 24.8… #> 6 ((-80.62568 24.94111, -80.66514 24.89844, -80.63828 24.90317, -80.6146 24.93… #> 7 ((129.5688 -31.62725, 129.1877 -31.65996, 128.9462 -31.70264, 128.5461 -31.8… #> 8 ((178.5749 -17.74932, 178.5957 -17.69902, 178.5916 -17.65146, 178.5232 -17.5… #> 9 ((166.9424 -22.09014, 166.8201 -22.01699, 166.6896 -21.95303, 166.5875 -21.8… #> 10 ((127.6874 -0.07993164, 127.6813 0.03486328, 127.6854 0.1490234, 127.7087 0.… #> # ℹ 1,418 more rows"},{"path":"https://stscl.github.io/geocn/reference/load_world_continent.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Global Continents — load_world_continent","title":"Loading Global Continents — load_world_continent","text":"Loading Global Continents","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_continent.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Global Continents — load_world_continent","text":"","code":"load_world_continent()"},{"path":"https://stscl.github.io/geocn/reference/load_world_continent.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Global Continents — load_world_continent","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_continent.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Global Continents — load_world_continent","text":"","code":"load_world_continent() #> Simple feature collection with 8 features and 1 field #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: -180 ymin: -90 xmax: 180 ymax: 83.6236 #> Geodetic CRS: WGS 84 #> # A tibble: 8 × 2 #> CONTINENT geometry #> #> 1 Asia (((93.27554 80.26361, 93.31304 80.27415, 93.27249 80.30193, 93.… #> 2 North America (((-25.28167 71.39166, -25.32889 71.41165, -25.44833 71.45139, … #> 3 Europe (((58.06138 81.68776, 57.98055 81.68858, 57.93971 81.6922, 57.9… #> 4 Africa (((0.694651 5.773365, 0.6666666 5.803194, 0.6505165 5.837184, 0… #> 5 South America (((-81.71306 12.49028, -81.72014 12.49632, -81.72015 12.54528, … #> 6 Oceania (((-177.3933 28.18416, -177.3958 28.18749, -177.388 28.21458, -… #> 7 Australia (((142.28 -10.26556, 142.2105 -10.2368, 142.2014 -10.22556, 142… #> 8 Antarctica (((51.80305 -46.45667, 51.72139 -46.45278, 51.71055 -46.44667, …"},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":null,"dir":"Reference","previous_headings":"","what":"Load Global Country Boundaries — load_world_country","title":"Load Global Country Boundaries — load_world_country","text":"Load Global Country Boundaries","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Load Global Country Boundaries — load_world_country","text":"","code":"load_world_country(center = \"west\")"},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Load Global Country Boundaries — load_world_country","text":"center (optional) Center must west east. Default west.","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Load Global Country Boundaries — load_world_country","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Load Global Country Boundaries — load_world_country","text":"center parameter set west, map center Atlantic Ocean; center east, map center Pacific Ocean.","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Load Global Country Boundaries — load_world_country","text":"","code":"load_world_country() #> Simple feature collection with 249 features and 39 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: -180 ymin: -90 xmax: 180 ymax: 83.6341 #> Geodetic CRS: WGS 84 #> # A tibble: 249 × 40 #> country1 country2 capital1 capital2 scalerank labelrank sovereignt sov_a3 #> #> 1 阿鲁巴 Aruba 奥拉涅… Oranjes… 3 5 Netherlan… NL1 #> 2 阿富汗 Afghani… 喀布尔 Kabul 0 3 Afghanist… AFG #> 3 安哥拉 Angola 罗安达 Luanda 0 3 Angola AGO #> 4 安圭拉 Anguilla 瓦利 The Val… 3 6 United Ki… GB1 #> 5 阿尔巴尼亚 Albania 地拉那 Tirana 0 6 Albania ALB #> 6 奥兰群岛 Aland I… 玛丽港 Marieha… 3 6 Finland FI1 #> 7 安道尔共和国 Andorra 安道尔 Andorra… 0 6 Andorra AND #> 8 阿拉伯联合… United … 阿布扎比 Abu Dha… 0 4 United Ar… ARE #> 9 阿根廷 Argenti… 布宜诺… BuenosA… 0 2 Argentina ARG #> 10 亚美尼亚 Armenia 埃里温 Yerevan 0 6 Armenia ARM #> # ℹ 239 more rows #> # ℹ 32 more variables: type , name , name_long , abbrev , #> # postal , formal_en , formal_fr , note_adm0 , #> # note_brk , name_sort , name_alt , mapcolor7 , #> # mapcolor8 , mapcolor9 , mapcolor13 , pop_est , #> # gdp_md_est , pop_year , lastcensus , gdp_year , #> # economy , income_grp , iso_a2 , iso_n3 , un_a3 , …"},{"path":"https://stscl.github.io/geocn/reference/load_world_lake.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Global Lakes — load_world_lake","title":"Loading Global Lakes — load_world_lake","text":"Loading Global Lakes","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_lake.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Global Lakes — load_world_lake","text":"","code":"load_world_lake()"},{"path":"https://stscl.github.io/geocn/reference/load_world_lake.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Global Lakes — load_world_lake","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_lake.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Global Lakes — load_world_lake","text":"","code":"load_world_lake() #> Simple feature collection with 412 features and 2 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: -165.8985 ymin: -50.62002 xmax: 176.0827 ymax: 81.94033 #> Geodetic CRS: WGS 84 #> # A tibble: 412 × 3 #> scalerank name geometry #> #> 1 0 Mälaren (((17.97979 59.32905, 17.87617 59.2708, 17.57051 … #> 2 0 Lake Ladoga (((29.83672 61.22607, 29.83672 61.22607, 29.83672… #> 3 0 Lake Albert (((31.47158 2.385449, 31.39551 2.28042, 31.38398 … #> 4 0 Lake Erie (((-83.10483 42.28643, -83.07646 42.27549, -83.10… #> 5 0 Lake Chad (((14.74229 13.07803, 14.74277 13.06235, 14.71602… #> 6 0 Lake Malawi (((35.26016 -14.27744, 35.26016 -14.27744, 35.260… #> 7 0 Lake Victoria (((34.71758 -0.09169922, 34.71758 -0.09169922, 34… #> 8 0 Lake Baikal (((109.8639 55.53896, 109.8639 55.53896, 109.8639… #> 9 0 Lake Winnipeg (((-96.37256 50.72925, -96.37256 50.72925, -96.35… #> 10 0 Great Slave Lake (((-109.0221 62.80669, -109.0221 62.80669, -109.0… #> # ℹ 402 more rows"},{"path":"https://stscl.github.io/geocn/reference/load_world_ocean.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Global Oceans — load_world_ocean","title":"Loading Global Oceans — load_world_ocean","text":"Loading Global Oceans","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_ocean.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Global Oceans — load_world_ocean","text":"","code":"load_world_ocean()"},{"path":"https://stscl.github.io/geocn/reference/load_world_ocean.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Global Oceans — load_world_ocean","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_ocean.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Global Oceans — load_world_ocean","text":"","code":"load_world_ocean() #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: -180 ymin: -85.19219 xmax: 180 ymax: 90 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 (((51.74453 46.93374, 51.94512 46.89487, 52.01113 46.9019, 52.08555 46.8396, …"},{"path":"https://stscl.github.io/geocn/reference/load_world_river.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Global Rivers — load_world_river","title":"Loading Global Rivers — load_world_river","text":"Loading Global Rivers","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_river.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Global Rivers — load_world_river","text":"","code":"load_world_river()"},{"path":"https://stscl.github.io/geocn/reference/load_world_river.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Global Rivers — load_world_river","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_river.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Global Rivers — load_world_river","text":"","code":"load_world_river() #> Simple feature collection with 1616 features and 4 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: -165.2439 ymin: -50.24014 xmax: 176.3258 ymax: 73.3349 #> Geodetic CRS: WGS 84 #> # A tibble: 1,616 × 5 #> name type scalerank strokelwd geometry #> #> 1 NA River 5 2 ((-72.99133 46.17744, -73.07… #> 2 Ebro River 5 1.5 ((-4.18886 43.01117, -4.1022… #> 3 Ebro River 5 2 ((-1.747614 42.23592, -1.994… #> 4 Ebro River 5 2.5 ((-1.747614 42.23592, -1.405… #> 5 Ebro River 5 3 ((0.3950202 41.2543, 0.52542… #> 6 Mississippi Lake Centerline 5 2 ((-94.50681 47.45641, -94.63… #> 7 Mississippi Lake Centerline 5 2.5 ((-94.32648 47.40563, -94.20… #> 8 Mississippi River 5 1.5 ((-95.02582 47.15611, -94.96… #> 9 Mississippi River 5 2 ((-94.9681 47.3175, -94.8770… #> 10 Mississippi River 5 2 ((-94.50774 47.45654, -94.32… #> # ℹ 1,606 more rows"},{"path":"https://stscl.github.io/geocn/reference/load_yangtze_basin.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the Boundary Polygon Data of Yangtze River Basin — load_yangtze_basin","title":"Loading the Boundary Polygon Data of Yangtze River Basin — load_yangtze_basin","text":"Loading Boundary Polygon Data Yangtze River Basin","code":""},{"path":"https://stscl.github.io/geocn/reference/load_yangtze_basin.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the Boundary Polygon Data of Yangtze River Basin — load_yangtze_basin","text":"","code":"load_yangtze_basin()"},{"path":"https://stscl.github.io/geocn/reference/load_yangtze_basin.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the Boundary Polygon Data of Yangtze River Basin — load_yangtze_basin","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_yangtze_basin.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the Boundary Polygon Data of Yangtze River Basin — load_yangtze_basin","text":"","code":"load_yangtze_basin() #> Simple feature collection with 1 feature and 0 fields #> Geometry type: POLYGON #> Dimension: XY #> Bounding box: xmin: 90.53567 ymin: 24.46143 xmax: 121.9026 ymax: 35.7528 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((93.84055 35.71126, 93.8472 35.70832, 93.8516 35.70841, 93.85953 35.70855, 9…"},{"path":"https://stscl.github.io/geocn/reference/load_yellow_river_basin.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the Boundary Polygon Data of Yellow River Basin — load_yellow_river_basin","title":"Loading the Boundary Polygon Data of Yellow River Basin — load_yellow_river_basin","text":"Loading Boundary Polygon Data Yellow River Basin","code":""},{"path":"https://stscl.github.io/geocn/reference/load_yellow_river_basin.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the Boundary Polygon Data of Yellow River Basin — load_yellow_river_basin","text":"","code":"load_yellow_river_basin()"},{"path":"https://stscl.github.io/geocn/reference/load_yellow_river_basin.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the Boundary Polygon Data of Yellow River Basin — load_yellow_river_basin","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_yellow_river_basin.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the Boundary Polygon Data of Yellow River Basin — load_yellow_river_basin","text":"","code":"load_yellow_river_basin() #> Simple feature collection with 1 feature and 0 fields #> Geometry type: POLYGON #> Dimension: XY #> Bounding box: xmin: 95.8969 ymin: 32.15905 xmax: 119.0656 ymax: 41.83875 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((118.9801 37.70119, 118.9801 37.70119, 118.9278 37.69736, 118.8866 37.68964,…"},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":null,"dir":"Reference","previous_headings":"","what":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"Coordinate Conversion GCJ02,BD09 WGS84","code":""},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"","code":"st_transform_cn(lon, lat, from = \"gcj\", to = \"wgs\")"},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"lon Longitude vector. lat Latitude vector. (optional) Source CRS. Default gcj. (optional) Target CRS. Default wgs.","code":""},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"coordinate tibble target CRS.","code":""},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"wgs stands WGS84 coordinate system, gcj stands GCJ02 coordinate system, bd stands BD09 coordinate system.","code":""},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"","code":"lon = c(126.626510,126.625261,126.626378,126.626541,126.626721,126.627732,126.626510) lat = c(45.731596,45.729834,45.729435,45.729676,45.729604,45.730915,45.731596) st_transform_cn(lon,lat) #> # A tibble: 7 × 2 #> lon lat #> #> 1 127. 45.7 #> 2 127. 45.7 #> 3 127. 45.7 #> 4 127. 45.7 #> 5 127. 45.7 #> 6 127. 45.7 #> 7 127. 45.7"},{"path":"https://stscl.github.io/geocn/news/index.html","id":"geocn-020","dir":"Changelog","previous_headings":"","what":"geocn 0.2.0","title":"geocn 0.2.0","text":"Update package internal data.","code":""},{"path":"https://stscl.github.io/geocn/news/index.html","id":"geocn-010","dir":"Changelog","previous_headings":"","what":"geocn 0.1.0","title":"geocn 0.1.0","text":"First stable release.","code":""}] +[{"path":"https://stscl.github.io/geocn/articles/geocn.html","id":"available-data-sets","dir":"Articles","previous_headings":"","what":"Available data sets","title":"Loads Spatial Data Sets Related to China","text":"geocn package covers 19 spatial data sets, including variety relevant data global Chinese regions. can view data sets available using list_geocn() function.","code":"library(sf) ## Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE library(geocn) library(ggplot2) datasets_geocn = list_geocn() datasets_geocn ## # A tibble: 19 × 2 ## functions results ## ## 1 load_world_country Global Country Boundaries ## 2 load_world_continent Global Continents ## 3 load_world_coastline Global Coastlines ## 4 load_world_ocean Global Oceans ## 5 load_world_lake Global Lakes ## 6 load_world_river Global Rivers ## 7 load_cn_province Province-Level Administrative Units in China ## 8 load_cn_city City-Level Administrative Units in China ## 9 load_cn_county County-Level Administrative Units in China ## 10 load_cn_border China's Land Border Line and the 10-dash line of the… ## 11 load_cn_landborder China's Land Border ## 12 load_cn_coastline Coastline of China ## 13 load_cn_tenline 10-dash line of the South China Sea ## 14 load_cn_landcoast China's Land Border and Coastline ## 15 load_tibetan_plateau Tibetan Plateau Boundary ## 16 load_loess_plateau Loess Plateau Boundary ## 17 load_yangtze_basin Yangtze River Basin Boundary ## 18 load_yellow_river_basin Yellow River Basin Boundary ## 19 load_weihe_basin Weihe River Basin Boundary"},{"path":"https://stscl.github.io/geocn/articles/geocn.html","id":"commonly-used-crs-for-drawing-maps-of-china","dir":"Articles","previous_headings":"","what":"Commonly Used CRS for Drawing Maps of China","title":"Loads Spatial Data Sets Related to China","text":"load_cn_alberproj() function can used obtain CRS information available sf terra packages. default, returns sf format. However, can specify return format output parameter.","code":"albers = load_cn_alberproj() province = load_cn_province() ## Warning in CPL_read_ogr(dsn, layer, query, as.character(options), quiet, : GDAL ## Message 1: organizePolygons() received a polygon with more than 100 parts. The ## processing may be really slow. You can skip the processing by setting ## METHOD=SKIP. ggplot(data = province) + geom_sf(fill = 'grey90', color = 'grey') + theme_bw() province_albers = st_transform(province,albers) ggplot(data = province_albers) + geom_sf(fill = 'grey90', color = 'grey') + theme_bw()"},{"path":"https://stscl.github.io/geocn/articles/geocn.html","id":"region-specific-crs-transformation-in-china","dir":"Articles","previous_headings":"","what":"Region-specific CRS Transformation in China","title":"Loads Spatial Data Sets Related to China","text":"section primarily focuses conversion GCJ02, BD09, WGS84 coordinate systems. geocn provides st_transform_cn() function achieve conversion. need input longitude latitude coordinate vectors transformed function parameters lon lat, specify CRS transformation CRS transformed. Please note st_transform_cn() function, parameters respectively refer wgs, gcj, bd WGS84, GCJ02, BD09 coordinate systems. Default Conversion GCJ02 WGS84.","code":"lon = c(126.626510,126.625261,126.626378,126.626541,126.626721,126.627732,126.626510) lat = c(45.731596,45.729834,45.729435,45.729676,45.729604,45.730915,45.731596) st_transform_cn(lon,lat) ## # A tibble: 7 × 2 ## lon lat ## ## 1 127. 45.7 ## 2 127. 45.7 ## 3 127. 45.7 ## 4 127. 45.7 ## 5 127. 45.7 ## 6 127. 45.7 ## 7 127. 45.7"},{"path":"https://stscl.github.io/geocn/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Wenbo Lv. Author, maintainer.","code":""},{"path":"https://stscl.github.io/geocn/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Lv W (2024). geocn: Loads Spatial Data Sets China. R package version 0.2.0, https://github.com/stscl/geocn, https://stscl.github.io/geocn/.","code":"@Manual{, title = {geocn: Loads Spatial Data Sets of China}, author = {Wenbo Lv}, year = {2024}, note = {R package version 0.2.0, https://github.com/stscl/geocn}, url = {https://stscl.github.io/geocn/}, }"},{"path":"https://stscl.github.io/geocn/index.html","id":"geocn-","dir":"","previous_headings":"","what":"geocn | Loads Spatial Data Sets of China\n","title":"geocn | Loads Spatial Data Sets of China\n","text":"goal geocn provide various commonly used spatial data related Chinese regions R programming environment.","code":""},{"path":"https://stscl.github.io/geocn/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"geocn | Loads Spatial Data Sets of China\n","text":"Install development binary version R-universe : Install development source version GitHub :","code":"install.packages(\"geocn\", repos = c(\"https://stscl.r-universe.dev\", \"https://cloud.r-project.org\"), dep = TRUE) # install.packages(\"devtools\") devtools::install_github(\"stscl/geocn\", build_vignettes = TRUE, dep = TRUE)"},{"path":[]},{"path":"https://stscl.github.io/geocn/index.html","id":"drawing-a-map-of-china-using-ggplot2","dir":"","previous_headings":"Example","what":"Drawing a Map of China Using ggplot2","title":"geocn | Loads Spatial Data Sets of China\n","text":"","code":"library(sf) library(ggplot2) library(cowplot) library(geocn) albers = load_cn_alberproj() province = load_cn_province() tenline = load_cn_tenline() ocean = load_world_ocean() lakes = load_world_lake() coastline = load_world_coastline() ggplot() + geom_sf(data = ocean,fill=\"#BEE8FF\",color=\"white\",size=.1) + geom_sf(data = coastline,color=\"#252525\",size=.5) + geom_sf(data = province,fill=\"white\",size=.1,color=\"grey\") + geom_sf(data = lakes,fill=\"#BEE8FF\",color=\"white\",size=.1) + geom_sf(data = tenline,size=.2,color=\"#9d98b7\") + ggfx::with_shadow(geom_sf(data = tenline,size=.2,color=\"#9d98b7\") , sigma = 3,x_offset = -5,y_offset = -2) -> fig1 fig1 + coord_sf(crs = albers, ylim = c(1500000,6000000), xlim = c(-3100000,2000000), expand = FALSE) + theme_bw() + theme(plot.background = element_rect(\"grey97\", fill = NA), axis.text = element_blank(), axis.ticks = element_blank(), axis.title = element_blank()) -> china.main fig1 + coord_sf(crs = albers, ylim = c(273000,2800000), xlim = c(-350000,1350000)) + theme_minimal() + theme( axis.text = element_blank(), axis.ticks = element_blank(), axis.title = element_blank(), panel.grid = element_blank(), panel.background = element_rect(\"#BEE8FF\", color = NA), panel.border = element_rect(fill=NA, linetype = 1, linewidth = 0.5), plot.margin=unit(c(0,0,0,0),\"cm\")) -> china.ocean ggdraw() + draw_plot(china.main) + draw_plot(china.ocean,x = .815, y = .015, width = .13, height = .20) -> cnmap1 cnmap1"},{"path":"https://stscl.github.io/geocn/index.html","id":"drawing-a-map-of-china-using-tmap","dir":"","previous_headings":"Example","what":"Drawing a Map of China Using tmap","title":"geocn | Loads Spatial Data Sets of China\n","text":"","code":"library(sf) library(tmap) library(cowplot) library(geocn) albers = load_cn_alberproj() cn_border = load_cn_border() main_border = load_cn_landcoast() tenline = load_cn_tenline() province = load_cn_province() tm_shape(main_border, projection = albers) + tm_lines(col = NA,lwd = 0.01) + tm_shape(province) + tm_fill(col = 'white',alpha = .5) + tm_borders(col = 'grey40', lwd = 1.25) + tm_shape(cn_border) + tm_lines(col='#9d98b7',lwd = 2.5) + tm_scale_bar(position = c(0.05,0.01), width = 0.15,text.size = 1.05, lwd = 2) + tm_compass(position = c(0.05,0.9), just = 'center',size = 1.5, text.size = .65,show.labels = 1) + tm_layout(legend.width = 0.75, legend.text.size = 1, legend.height = 1.75, legend.position = c(0.045,0.075), compass.type = \"arrow\", fontfamily = \"serif\") -> cn_mainplot tm_shape(tenline, projection = albers) + tm_lines(col=NA,lwd=0.01) + tm_shape(province) + tm_fill(col = 'white',alpha = .5) + tm_borders(col = 'grey40', lwd = 1.25) + tm_shape(cn_border) + tm_lines(col='#9d98b7',lwd = 2.5) -> cn_miniplot ggdraw() + draw_plot(tmap_grob(cn_mainplot)) + draw_plot(tmap_grob(cn_miniplot), halign = 0.5,valign = 0.5, height = 0.2, x = 0.427, y = 0.019) -> cnmap2 cnmap2"},{"path":"https://stscl.github.io/geocn/reference/list_geocn.html","id":null,"dir":"Reference","previous_headings":"","what":"List all data sets available in the geocn package — list_geocn","title":"List all data sets available in the geocn package — list_geocn","text":"Returns tibble datasets available geocn package.","code":""},{"path":"https://stscl.github.io/geocn/reference/list_geocn.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List all data sets available in the geocn package — list_geocn","text":"","code":"list_geocn()"},{"path":"https://stscl.github.io/geocn/reference/list_geocn.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List all data sets available in the geocn package — list_geocn","text":"tibble","code":""},{"path":"https://stscl.github.io/geocn/reference/list_geocn.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"List all data sets available in the geocn package — list_geocn","text":"","code":"list_geocn() #> # A tibble: 19 × 2 #> functions results #> #> 1 load_world_country Global Country Boundaries #> 2 load_world_continent Global Continents #> 3 load_world_coastline Global Coastlines #> 4 load_world_ocean Global Oceans #> 5 load_world_lake Global Lakes #> 6 load_world_river Global Rivers #> 7 load_cn_province Province-Level Administrative Units in China #> 8 load_cn_city City-Level Administrative Units in China #> 9 load_cn_county County-Level Administrative Units in China #> 10 load_cn_border China's Land Border Line and the 10-dash line of the… #> 11 load_cn_landborder China's Land Border #> 12 load_cn_coastline Coastline of China #> 13 load_cn_tenline 10-dash line of the South China Sea #> 14 load_cn_landcoast China's Land Border and Coastline #> 15 load_tibetan_plateau Tibetan Plateau Boundary #> 16 load_loess_plateau Loess Plateau Boundary #> 17 load_yangtze_basin Yangtze River Basin Boundary #> 18 load_yellow_river_basin Yellow River Basin Boundary #> 19 load_weihe_basin Weihe River Basin Boundary"},{"path":"https://stscl.github.io/geocn/reference/load_cn_alberproj.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","title":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","text":"Loading commonly used Albers Lambert projection China region.","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_alberproj.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","text":"","code":"load_cn_alberproj(output = \"sf\")"},{"path":"https://stscl.github.io/geocn/reference/load_cn_alberproj.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","text":"output (optional) Output format, must sf terra. Default sf.","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_alberproj.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","text":"Available Projection CRS.","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_alberproj.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the commonly used Albers Lambert projection in China region. — load_cn_alberproj","text":"","code":"load_cn_alberproj() #> Coordinate Reference System: #> User input: +proj=aea +lat_1=25 +lat_2=47 +lat_0=0 +lon_0=110 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs #> wkt: #> PROJCRS[\"unknown\", #> BASEGEOGCRS[\"unknown\", #> DATUM[\"World Geodetic System 1984\", #> ELLIPSOID[\"WGS 84\",6378137,298.257223563, #> LENGTHUNIT[\"metre\",1]], #> ID[\"EPSG\",6326]], #> PRIMEM[\"Greenwich\",0, #> ANGLEUNIT[\"degree\",0.0174532925199433], #> ID[\"EPSG\",8901]]], #> CONVERSION[\"unknown\", #> METHOD[\"Albers Equal Area\", #> ID[\"EPSG\",9822]], #> PARAMETER[\"Latitude of false origin\",0, #> ANGLEUNIT[\"degree\",0.0174532925199433], #> ID[\"EPSG\",8821]], #> PARAMETER[\"Longitude of false origin\",110, #> ANGLEUNIT[\"degree\",0.0174532925199433], #> ID[\"EPSG\",8822]], #> PARAMETER[\"Latitude of 1st standard parallel\",25, #> ANGLEUNIT[\"degree\",0.0174532925199433], #> ID[\"EPSG\",8823]], #> PARAMETER[\"Latitude of 2nd standard parallel\",47, #> ANGLEUNIT[\"degree\",0.0174532925199433], #> ID[\"EPSG\",8824]], #> PARAMETER[\"Easting at false origin\",0, #> LENGTHUNIT[\"metre\",1], #> ID[\"EPSG\",8826]], #> PARAMETER[\"Northing at false origin\",0, #> LENGTHUNIT[\"metre\",1], #> ID[\"EPSG\",8827]]], #> CS[Cartesian,2], #> AXIS[\"(E)\",east, #> ORDER[1], #> LENGTHUNIT[\"metre\",1, #> ID[\"EPSG\",9001]]], #> AXIS[\"(N)\",north, #> ORDER[2], #> LENGTHUNIT[\"metre\",1, #> ID[\"EPSG\",9001]]]]"},{"path":"https://stscl.github.io/geocn/reference/load_cn_border.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading China's Land Border Line and the 10-dash line of the South China Sea — load_cn_border","title":"Loading China's Land Border Line and the 10-dash line of the South China Sea — load_cn_border","text":"Loading China's Land Border Line 10-dash line South China Sea","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_border.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading China's Land Border Line and the 10-dash line of the South China Sea — load_cn_border","text":"","code":"load_cn_border()"},{"path":"https://stscl.github.io/geocn/reference/load_cn_border.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading China's Land Border Line and the 10-dash line of the South China Sea — load_cn_border","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_border.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading China's Land Border Line and the 10-dash line of the South China Sea — load_cn_border","text":"","code":"cn_border = load_cn_border() cn_border #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: 73.53085 ymin: 3.40848 xmax: 134.981 ymax: 53.51356 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((110.3232 12.2405, 110.3159 11.96466, 110.2778 11.71434, 110.2279 11.55393, …"},{"path":"https://stscl.github.io/geocn/reference/load_cn_city.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","title":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","text":"Loading Chinese City-Level Administrative Division Polygon Data","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_city.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","text":"","code":"load_cn_city(simplify = TRUE, keep = 0.05, keep_shape = TRUE, ...)"},{"path":"https://stscl.github.io/geocn/reference/load_cn_city.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","text":"simplify (optional) Whether simplify loading sf objects (default TRUE) keep (optional) Proportion points retain (0-1; default 0.05) keep_shape (optional) Prevent small polygon features disappearing high simplification (default TRUE) ... (optional) arguments passed rmapshaper::ms_simplify()","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_city.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","text":"Whether simplify loading sf objects","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_city.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Chinese City-Level Administrative Division Polygon Data — load_cn_city","text":"","code":"library(sf) #> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE city = load_cn_city() #> Warning: GDAL Message 1: organizePolygons() received a polygon with more than 100 parts. The processing may be really slow. You can skip the processing by setting METHOD=SKIP. city #> Simple feature collection with 371 features and 6 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: 73.50655 ymin: 3.83703 xmax: 135.0945 ymax: 53.56362 #> Geodetic CRS: WGS 84 #> # A tibble: 371 × 7 #> 省 省代码 市类型 省类型 市 市代码 geometry #> #> 1 安徽省 340000 地级市 省 安庆市 340800 (((117.1507 31.07444, 117.1304 31.… #> 2 安徽省 340000 地级市 省 蚌埠市 340300 (((117.9735 33.33581, 117.9467 33.… #> 3 安徽省 340000 地级市 省 亳州市 341600 (((116.3881 33.78433, 116.3432 33.… #> 4 安徽省 340000 地级市 省 池州市 341700 (((118.0955 30.64345, 118.0941 30.… #> 5 安徽省 340000 地级市 省 滁州市 341100 (((119.1795 32.82747, 119.1075 32.… #> 6 安徽省 340000 地级市 省 阜阳市 341200 (((116.3891 32.89303, 116.3654 32.… #> 7 安徽省 340000 地级市 省 合肥市 340100 (((117.1955 32.53608, 117.1521 32.… #> 8 安徽省 340000 地级市 省 淮北市 340600 (((116.9182 33.30882, 116.9242 33.… #> 9 安徽省 340000 地级市 省 淮南市 340400 (((117.1903 32.73662, 117.1503 32.… #> 10 安徽省 340000 地级市 省 黄山市 341000 (((118.864 30.10411, 118.8452 30.1… #> # ℹ 361 more rows"},{"path":"https://stscl.github.io/geocn/reference/load_cn_coastline.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Coastline of China — load_cn_coastline","title":"Loading Coastline of China — load_cn_coastline","text":"Loading Coastline China","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_coastline.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Coastline of China — load_cn_coastline","text":"","code":"load_cn_coastline()"},{"path":"https://stscl.github.io/geocn/reference/load_cn_coastline.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Coastline of China — load_cn_coastline","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_coastline.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Coastline of China — load_cn_coastline","text":"","code":"cn_coastline = load_cn_coastline() cn_coastline #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: 105.5271 ymin: 18.12558 xmax: 131.2247 ymax: 43.45281 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((114.6479 22.46397, 114.6478 22.46406, 114.6477 22.46414, 114.6477 22.46423,…"},{"path":"https://stscl.github.io/geocn/reference/load_cn_county.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","title":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","text":"Loading Chinese County-Level Administrative Division Polygon Data","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_county.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","text":"","code":"load_cn_county(simplify = TRUE, keep = 0.05, keep_shape = TRUE, ...)"},{"path":"https://stscl.github.io/geocn/reference/load_cn_county.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","text":"simplify (optional) Whether simplify loading sf objects (default TRUE) keep (optional) Proportion points retain (0-1; default 0.05) keep_shape (optional) Prevent small polygon features disappearing high simplification (default TRUE) ... (optional) arguments passed rmapshaper::ms_simplify()","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_county.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","text":"Whether simplify loading sf objects","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_county.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Chinese County-Level Administrative Division Polygon Data — load_cn_county","text":"","code":"library(sf) county = load_cn_county() county #> Simple feature collection with 2877 features and 9 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: 73.50655 ymin: 3.83703 xmax: 135.0945 ymax: 53.56362 #> Geodetic CRS: WGS 84 #> # A tibble: 2,877 × 10 #> 省 省代码 市类型 省类型 市 市代码 县 县代码 县类型 #> #> 1 安徽省 340000 地级市 省 安庆市 340800 大观区 340803 市辖区 #> 2 安徽省 340000 地级市 省 安庆市 340800 怀宁县 340822 县 #> 3 安徽省 340000 地级市 省 安庆市 340800 潜山市 340882 县级市 #> 4 安徽省 340000 地级市 省 安庆市 340800 宿松县 340826 县 #> 5 安徽省 340000 地级市 省 安庆市 340800 太湖县 340825 县 #> 6 安徽省 340000 地级市 省 安庆市 340800 桐城市 340881 县级市 #> 7 安徽省 340000 地级市 省 安庆市 340800 望江县 340827 县 #> 8 安徽省 340000 地级市 省 安庆市 340800 宜秀区 340811 市辖区 #> 9 安徽省 340000 地级市 省 安庆市 340800 迎江区 340802 市辖区 #> 10 安徽省 340000 地级市 省 安庆市 340800 岳西县 340828 县 #> # ℹ 2,867 more rows #> # ℹ 1 more variable: geometry "},{"path":"https://stscl.github.io/geocn/reference/load_cn_landborder.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading China's Land Border — load_cn_landborder","title":"Loading China's Land Border — load_cn_landborder","text":"Loading China's Land Border","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_landborder.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading China's Land Border — load_cn_landborder","text":"","code":"load_cn_landborder()"},{"path":"https://stscl.github.io/geocn/reference/load_cn_landborder.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading China's Land Border — load_cn_landborder","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_landborder.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading China's Land Border — load_cn_landborder","text":"","code":"cn_landborder = load_cn_landborder() cn_landborder #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: 73.53085 ymin: 21.15455 xmax: 134.981 ymax: 53.51356 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((124.3688 40.14596, 124.4699 40.19918, 124.5453 40.2525, 124.6446 40.30446, …"},{"path":"https://stscl.github.io/geocn/reference/load_cn_landcoast.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading China's Land Border and Coastline — load_cn_landcoast","title":"Loading China's Land Border and Coastline — load_cn_landcoast","text":"Loading China's Land Border Coastline","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_landcoast.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading China's Land Border and Coastline — load_cn_landcoast","text":"","code":"load_cn_landcoast()"},{"path":"https://stscl.github.io/geocn/reference/load_cn_landcoast.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading China's Land Border and Coastline — load_cn_landcoast","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_landcoast.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading China's Land Border and Coastline — load_cn_landcoast","text":"","code":"cn_landcoast = load_cn_landcoast() cn_landcoast #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: 73.53085 ymin: 18.12558 xmax: 134.981 ymax: 53.51356 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((124.3688 40.14596, 124.4699 40.19918, 124.5453 40.2525, 124.6446 40.30446, …"},{"path":"https://stscl.github.io/geocn/reference/load_cn_province.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","title":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","text":"Loading Chinese Province-Level Administrative Divisional Polygon Data","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_province.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","text":"","code":"load_cn_province(simplify = TRUE, keep = 0.05, keep_shape = TRUE, ...)"},{"path":"https://stscl.github.io/geocn/reference/load_cn_province.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","text":"simplify (optional) Whether simplify loading sf objects (default TRUE) keep (optional) Proportion points retain (0-1; default 0.05) keep_shape (optional) Prevent small polygon features disappearing high simplification (default TRUE) ... (optional) arguments passed rmapshaper::ms_simplify()","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_province.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","text":"Whether simplify loading sf objects","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_province.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Chinese Province-Level Administrative Divisional Polygon Data — load_cn_province","text":"","code":"library(sf) province = load_cn_province() province #> Simple feature collection with 34 features and 3 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: 73.50655 ymin: 3.83703 xmax: 135.0945 ymax: 53.56362 #> Geodetic CRS: WGS 84 #> # A tibble: 34 × 4 #> 省 省代码 省类型 geometry #> #> 1 安徽省 340000 省 (((119.6189 31.13254, 119.5949 31.11146, 11… #> 2 澳门特别行政区 820000 特别行政区 (((113.5538 22.21535, 113.5357 22.20232, 11… #> 3 北京市 110000 直辖市 (((117.3833 40.22652, 117.3455 40.228, 117.… #> 4 福建省 350000 省 (((118.2515 24.45437, 118.2291 24.44861, 11… #> 5 甘肃省 620000 省 (((97.17197 42.79343, 97.07261 42.77249, 96… #> 6 广东省 440000 省 (((110.5657 20.33342, 110.5895 20.36326, 11… #> 7 广西壮族自治区 450000 自治区 (((109.1361 21.03521, 109.1408 21.06023, 10… #> 8 贵州省 520000 省 (((109.5841 26.75517, 109.5573 26.75496, 10… #> 9 海南省 460000 省 (((112.0522 3.838239, 112.0614 3.857381, 11… #> 10 河北省 130000 省 (((118.6478 39.05611, 118.634 39.07486, 118… #> # ℹ 24 more rows"},{"path":"https://stscl.github.io/geocn/reference/load_cn_tenline.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the 10-dash line of the South China Sea — load_cn_tenline","title":"Loading the 10-dash line of the South China Sea — load_cn_tenline","text":"Loading 10-dash line South China Sea","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_tenline.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the 10-dash line of the South China Sea — load_cn_tenline","text":"","code":"load_cn_tenline()"},{"path":"https://stscl.github.io/geocn/reference/load_cn_tenline.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the 10-dash line of the South China Sea — load_cn_tenline","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_cn_tenline.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the 10-dash line of the South China Sea — load_cn_tenline","text":"","code":"cn_tenline = load_cn_tenline() cn_tenline #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: 108.2035 ymin: 3.40848 xmax: 122.8166 ymax: 24.6582 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((110.3232 12.2405, 110.3159 11.96466, 110.2778 11.71434, 110.2279 11.55393, …"},{"path":"https://stscl.github.io/geocn/reference/load_loess_plateau.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the Boundary Polygon Data of Loess Plateau — load_loess_plateau","title":"Loading the Boundary Polygon Data of Loess Plateau — load_loess_plateau","text":"Loading Boundary Polygon Data Loess Plateau","code":""},{"path":"https://stscl.github.io/geocn/reference/load_loess_plateau.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the Boundary Polygon Data of Loess Plateau — load_loess_plateau","text":"","code":"load_loess_plateau()"},{"path":"https://stscl.github.io/geocn/reference/load_loess_plateau.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the Boundary Polygon Data of Loess Plateau — load_loess_plateau","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_loess_plateau.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the Boundary Polygon Data of Loess Plateau — load_loess_plateau","text":"","code":"load_loess_plateau() #> Simple feature collection with 1 feature and 1 field #> Geometry type: POLYGON #> Dimension: XY #> Bounding box: xmin: 100.8425 ymin: 33.69722 xmax: 114.5019 ymax: 41.25155 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 2 #> name geometry #> #> 1 黄土高原 ((112.1615 40.824, 112.153 40.79219, 112.1241 40.77452, 112.0995 40.…"},{"path":"https://stscl.github.io/geocn/reference/load_tibetan_plateau.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the Boundary Polygon Data of Tibetan Plateau — load_tibetan_plateau","title":"Loading the Boundary Polygon Data of Tibetan Plateau — load_tibetan_plateau","text":"Loading Boundary Polygon Data Tibetan Plateau","code":""},{"path":"https://stscl.github.io/geocn/reference/load_tibetan_plateau.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the Boundary Polygon Data of Tibetan Plateau — load_tibetan_plateau","text":"","code":"load_tibetan_plateau()"},{"path":"https://stscl.github.io/geocn/reference/load_tibetan_plateau.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the Boundary Polygon Data of Tibetan Plateau — load_tibetan_plateau","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_tibetan_plateau.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the Boundary Polygon Data of Tibetan Plateau — load_tibetan_plateau","text":"","code":"load_tibetan_plateau() #> Simple feature collection with 1 feature and 0 fields #> Geometry type: POLYGON #> Dimension: XY #> Bounding box: xmin: 73.45169 ymin: 25.95491 xmax: 104.6424 ymax: 39.91312 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((76.22701 38.39657, 76.18308 38.39721, 76.22862 38.39506, 76.22701 38.39657,…"},{"path":"https://stscl.github.io/geocn/reference/load_weihe_basin.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the Boundary Polygon Data of Weihe River Basin — load_weihe_basin","title":"Loading the Boundary Polygon Data of Weihe River Basin — load_weihe_basin","text":"Loading Boundary Polygon Data Weihe River Basin","code":""},{"path":"https://stscl.github.io/geocn/reference/load_weihe_basin.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the Boundary Polygon Data of Weihe River Basin — load_weihe_basin","text":"","code":"load_weihe_basin()"},{"path":"https://stscl.github.io/geocn/reference/load_weihe_basin.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the Boundary Polygon Data of Weihe River Basin — load_weihe_basin","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_weihe_basin.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the Boundary Polygon Data of Weihe River Basin — load_weihe_basin","text":"","code":"load_weihe_basin() #> Simple feature collection with 1 feature and 2 fields #> Geometry type: POLYGON #> Dimension: XY #> Bounding box: xmin: 103.9716 ymin: 33.69625 xmax: 110.2744 ymax: 37.40821 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 3 #> NameCN NameEN geometry #> #> 1 渭河流域 Weihe River Basin ((107.2046 37.4082, 107.2047 37.40818, 107.2048 37…"},{"path":"https://stscl.github.io/geocn/reference/load_world_coastline.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Global Coastlines — load_world_coastline","title":"Loading Global Coastlines — load_world_coastline","text":"Loading Global Coastlines","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_coastline.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Global Coastlines — load_world_coastline","text":"","code":"load_world_coastline()"},{"path":"https://stscl.github.io/geocn/reference/load_world_coastline.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Global Coastlines — load_world_coastline","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_coastline.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Global Coastlines — load_world_coastline","text":"","code":"load_world_coastline() #> Simple feature collection with 1428 features and 0 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: -180 ymin: -85.19219 xmax: 180 ymax: 83.59961 #> Geodetic CRS: WGS 84 #> # A tibble: 1,428 × 1 #> geometry #> #> 1 ((180 -16.15293, 179.8481 -16.21426, 179.7889 -16.22148, 179.715 -16.20762, … #> 2 ((177.2575 -17.0542, 177.2874 -17.04863, 177.2758 -17.10488, 177.2342 -17.14… #> 3 ((127.3727 0.7913086, 127.3538 0.8474609, 127.3198 0.8620117, 127.2928 0.842… #> 4 ((-81.32231 24.68506, -81.42007 24.75, -81.42168 24.73262, -81.37905 24.6662… #> 5 ((-80.79941 24.84629, -80.83887 24.81787, -80.84834 24.80366, -80.82939 24.8… #> 6 ((-80.62568 24.94111, -80.66514 24.89844, -80.63828 24.90317, -80.6146 24.93… #> 7 ((129.5688 -31.62725, 129.1877 -31.65996, 128.9462 -31.70264, 128.5461 -31.8… #> 8 ((178.5749 -17.74932, 178.5957 -17.69902, 178.5916 -17.65146, 178.5232 -17.5… #> 9 ((166.9424 -22.09014, 166.8201 -22.01699, 166.6896 -21.95303, 166.5875 -21.8… #> 10 ((127.6874 -0.07993164, 127.6813 0.03486328, 127.6854 0.1490234, 127.7087 0.… #> # ℹ 1,418 more rows"},{"path":"https://stscl.github.io/geocn/reference/load_world_continent.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Global Continents — load_world_continent","title":"Loading Global Continents — load_world_continent","text":"Loading Global Continents","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_continent.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Global Continents — load_world_continent","text":"","code":"load_world_continent()"},{"path":"https://stscl.github.io/geocn/reference/load_world_continent.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Global Continents — load_world_continent","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_continent.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Global Continents — load_world_continent","text":"","code":"load_world_continent() #> Simple feature collection with 8 features and 1 field #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: -180 ymin: -90 xmax: 180 ymax: 83.6236 #> Geodetic CRS: WGS 84 #> # A tibble: 8 × 2 #> CONTINENT geometry #> #> 1 Asia (((93.27554 80.26361, 93.31304 80.27415, 93.27249 80.30193, 93.… #> 2 North America (((-25.28167 71.39166, -25.32889 71.41165, -25.44833 71.45139, … #> 3 Europe (((58.06138 81.68776, 57.98055 81.68858, 57.93971 81.6922, 57.9… #> 4 Africa (((0.694651 5.773365, 0.6666666 5.803194, 0.6505165 5.837184, 0… #> 5 South America (((-81.71306 12.49028, -81.72014 12.49632, -81.72015 12.54528, … #> 6 Oceania (((-177.3933 28.18416, -177.3958 28.18749, -177.388 28.21458, -… #> 7 Australia (((142.28 -10.26556, 142.2105 -10.2368, 142.2014 -10.22556, 142… #> 8 Antarctica (((51.80305 -46.45667, 51.72139 -46.45278, 51.71055 -46.44667, …"},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":null,"dir":"Reference","previous_headings":"","what":"Load Global Country Boundaries — load_world_country","title":"Load Global Country Boundaries — load_world_country","text":"Load Global Country Boundaries","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Load Global Country Boundaries — load_world_country","text":"","code":"load_world_country(center = \"west\")"},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Load Global Country Boundaries — load_world_country","text":"center (optional) Center must west east. Default west.","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Load Global Country Boundaries — load_world_country","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Load Global Country Boundaries — load_world_country","text":"center parameter set west, map center Atlantic Ocean; center east, map center Pacific Ocean.","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_country.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Load Global Country Boundaries — load_world_country","text":"","code":"load_world_country() #> Simple feature collection with 249 features and 7 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: -180 ymin: -90 xmax: 180 ymax: 83.6341 #> Geodetic CRS: WGS 84 #> # A tibble: 249 × 8 #> country1 country2 capital1 capital2 continent iso_a2 adm0_a3_us #> #> 1 阿鲁巴 Aruba 奥拉涅… Oranjes… North Am… AW ABW #> 2 阿富汗 Afghanistan 喀布尔 Kabul Asia AF AFG #> 3 安哥拉 Angola 罗安达 Luanda Africa AO AGO #> 4 安圭拉 Anguilla 瓦利 The Val… North Am… AI AIA #> 5 阿尔巴尼亚 Albania 地拉那 Tirana Europe AL ALB #> 6 奥兰群岛 Aland Islands 玛丽港 Marieha… Europe AX ALD #> 7 安道尔共和国 Andorra 安道尔 Andorra… Europe AD AND #> 8 阿拉伯联合酋长国 United Arab E… 阿布扎比 Abu Dha… Asia AE ARE #> 9 阿根廷 Argentina 布宜诺… BuenosA… South Am… AR ARG #> 10 亚美尼亚 Armenia 埃里温 Yerevan Asia AM ARM #> # ℹ 239 more rows #> # ℹ 1 more variable: geometry "},{"path":"https://stscl.github.io/geocn/reference/load_world_lake.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Global Lakes — load_world_lake","title":"Loading Global Lakes — load_world_lake","text":"Loading Global Lakes","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_lake.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Global Lakes — load_world_lake","text":"","code":"load_world_lake()"},{"path":"https://stscl.github.io/geocn/reference/load_world_lake.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Global Lakes — load_world_lake","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_lake.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Global Lakes — load_world_lake","text":"","code":"load_world_lake() #> Simple feature collection with 412 features and 2 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: -165.8985 ymin: -50.62002 xmax: 176.0827 ymax: 81.94033 #> Geodetic CRS: WGS 84 #> # A tibble: 412 × 3 #> scalerank name geometry #> #> 1 0 Mälaren (((17.97979 59.32905, 17.87617 59.2708, 17.57051 … #> 2 0 Lake Ladoga (((29.83672 61.22607, 29.83672 61.22607, 29.83672… #> 3 0 Lake Albert (((31.47158 2.385449, 31.39551 2.28042, 31.38398 … #> 4 0 Lake Erie (((-83.10483 42.28643, -83.07646 42.27549, -83.10… #> 5 0 Lake Chad (((14.74229 13.07803, 14.74277 13.06235, 14.71602… #> 6 0 Lake Malawi (((35.26016 -14.27744, 35.26016 -14.27744, 35.260… #> 7 0 Lake Victoria (((34.71758 -0.09169922, 34.71758 -0.09169922, 34… #> 8 0 Lake Baikal (((109.8639 55.53896, 109.8639 55.53896, 109.8639… #> 9 0 Lake Winnipeg (((-96.37256 50.72925, -96.37256 50.72925, -96.35… #> 10 0 Great Slave Lake (((-109.0221 62.80669, -109.0221 62.80669, -109.0… #> # ℹ 402 more rows"},{"path":"https://stscl.github.io/geocn/reference/load_world_ocean.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Global Oceans — load_world_ocean","title":"Loading Global Oceans — load_world_ocean","text":"Loading Global Oceans","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_ocean.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Global Oceans — load_world_ocean","text":"","code":"load_world_ocean()"},{"path":"https://stscl.github.io/geocn/reference/load_world_ocean.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Global Oceans — load_world_ocean","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_ocean.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Global Oceans — load_world_ocean","text":"","code":"load_world_ocean() #> Simple feature collection with 1 feature and 0 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: -180 ymin: -85.19219 xmax: 180 ymax: 90 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 (((51.74453 46.93374, 51.94512 46.89487, 52.01113 46.9019, 52.08555 46.8396, …"},{"path":"https://stscl.github.io/geocn/reference/load_world_river.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading Global Rivers — load_world_river","title":"Loading Global Rivers — load_world_river","text":"Loading Global Rivers","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_river.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading Global Rivers — load_world_river","text":"","code":"load_world_river()"},{"path":"https://stscl.github.io/geocn/reference/load_world_river.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading Global Rivers — load_world_river","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_world_river.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading Global Rivers — load_world_river","text":"","code":"load_world_river() #> Simple feature collection with 1616 features and 4 fields #> Geometry type: MULTILINESTRING #> Dimension: XY #> Bounding box: xmin: -165.2439 ymin: -50.24014 xmax: 176.3258 ymax: 73.3349 #> Geodetic CRS: WGS 84 #> # A tibble: 1,616 × 5 #> name type scalerank strokelwd geometry #> #> 1 NA River 5 2 ((-72.99133 46.17744, -73.07… #> 2 Ebro River 5 1.5 ((-4.18886 43.01117, -4.1022… #> 3 Ebro River 5 2 ((-1.747614 42.23592, -1.994… #> 4 Ebro River 5 2.5 ((-1.747614 42.23592, -1.405… #> 5 Ebro River 5 3 ((0.3950202 41.2543, 0.52542… #> 6 Mississippi Lake Centerline 5 2 ((-94.50681 47.45641, -94.63… #> 7 Mississippi Lake Centerline 5 2.5 ((-94.32648 47.40563, -94.20… #> 8 Mississippi River 5 1.5 ((-95.02582 47.15611, -94.96… #> 9 Mississippi River 5 2 ((-94.9681 47.3175, -94.8770… #> 10 Mississippi River 5 2 ((-94.50774 47.45654, -94.32… #> # ℹ 1,606 more rows"},{"path":"https://stscl.github.io/geocn/reference/load_yangtze_basin.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the Boundary Polygon Data of Yangtze River Basin — load_yangtze_basin","title":"Loading the Boundary Polygon Data of Yangtze River Basin — load_yangtze_basin","text":"Loading Boundary Polygon Data Yangtze River Basin","code":""},{"path":"https://stscl.github.io/geocn/reference/load_yangtze_basin.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the Boundary Polygon Data of Yangtze River Basin — load_yangtze_basin","text":"","code":"load_yangtze_basin()"},{"path":"https://stscl.github.io/geocn/reference/load_yangtze_basin.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the Boundary Polygon Data of Yangtze River Basin — load_yangtze_basin","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_yangtze_basin.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the Boundary Polygon Data of Yangtze River Basin — load_yangtze_basin","text":"","code":"load_yangtze_basin() #> Simple feature collection with 1 feature and 0 fields #> Geometry type: POLYGON #> Dimension: XY #> Bounding box: xmin: 90.53567 ymin: 24.46143 xmax: 121.9026 ymax: 35.7528 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((93.84055 35.71126, 93.8472 35.70832, 93.8516 35.70841, 93.85953 35.70855, 9…"},{"path":"https://stscl.github.io/geocn/reference/load_yellow_river_basin.html","id":null,"dir":"Reference","previous_headings":"","what":"Loading the Boundary Polygon Data of Yellow River Basin — load_yellow_river_basin","title":"Loading the Boundary Polygon Data of Yellow River Basin — load_yellow_river_basin","text":"Loading Boundary Polygon Data Yellow River Basin","code":""},{"path":"https://stscl.github.io/geocn/reference/load_yellow_river_basin.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Loading the Boundary Polygon Data of Yellow River Basin — load_yellow_river_basin","text":"","code":"load_yellow_river_basin()"},{"path":"https://stscl.github.io/geocn/reference/load_yellow_river_basin.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Loading the Boundary Polygon Data of Yellow River Basin — load_yellow_river_basin","text":"sf object","code":""},{"path":"https://stscl.github.io/geocn/reference/load_yellow_river_basin.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Loading the Boundary Polygon Data of Yellow River Basin — load_yellow_river_basin","text":"","code":"load_yellow_river_basin() #> Simple feature collection with 1 feature and 0 fields #> Geometry type: POLYGON #> Dimension: XY #> Bounding box: xmin: 95.8969 ymin: 32.15905 xmax: 119.0656 ymax: 41.83875 #> Geodetic CRS: WGS 84 #> # A tibble: 1 × 1 #> geometry #> #> 1 ((118.9801 37.70119, 118.9801 37.70119, 118.9278 37.69736, 118.8866 37.68964,…"},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":null,"dir":"Reference","previous_headings":"","what":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"Coordinate Conversion GCJ02,BD09 WGS84","code":""},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"","code":"st_transform_cn(lon, lat, from = \"gcj\", to = \"wgs\")"},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"lon Longitude vector. lat Latitude vector. (optional) Source CRS. Default gcj. (optional) Target CRS. Default wgs.","code":""},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"coordinate tibble target CRS.","code":""},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"wgs stands WGS84 coordinate system, gcj stands GCJ02 coordinate system, bd stands BD09 coordinate system.","code":""},{"path":"https://stscl.github.io/geocn/reference/st_transform_cn.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Coordinate Conversion Between GCJ02,BD09 and WGS84 — st_transform_cn","text":"","code":"lon = c(126.626510,126.625261,126.626378,126.626541,126.626721,126.627732,126.626510) lat = c(45.731596,45.729834,45.729435,45.729676,45.729604,45.730915,45.731596) st_transform_cn(lon,lat) #> # A tibble: 7 × 2 #> lon lat #> #> 1 127. 45.7 #> 2 127. 45.7 #> 3 127. 45.7 #> 4 127. 45.7 #> 5 127. 45.7 #> 6 127. 45.7 #> 7 127. 45.7"},{"path":"https://stscl.github.io/geocn/news/index.html","id":"geocn-020","dir":"Changelog","previous_headings":"","what":"geocn 0.2.0","title":"geocn 0.2.0","text":"Update package internal data (#1).","code":""},{"path":"https://stscl.github.io/geocn/news/index.html","id":"geocn-010","dir":"Changelog","previous_headings":"","what":"geocn 0.1.0","title":"geocn 0.1.0","text":"First stable release.","code":""}]