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@misc{202105OTCAbstract,
title = {2021-05 {{OTC Abstract}}},
journal = {Google Docs},
howpublished = {https://docs.google.com/document/u/1/d/10DudN-BzqM56q9qfdwMb3oBT\_x-fW04gOb4fhU0zCmc/edit?usp=embed\_facebook},
langid = {english},
file = {/Users/bbest/Zotero/storage/4DYXD4DR/edit.html}
}
@misc{akhtarSingularityHere2021,
title = {The {{Singularity Is Here}}},
author = {Akhtar, Ayad},
year = {2021},
month = nov,
journal = {The Atlantic},
chapter = {Ideas},
howpublished = {https://www.theatlantic.com/magazine/archive/2021/12/ai-ad-technology-singularity/620521/},
langid = {english},
file = {/Users/bbest/Zotero/storage/WZYAAVFS/620521.html}
}
@article{andradeENMTMLPackageStraightforward2020,
title = {{{ENMTML}}: {{An R}} Package for a Straightforward Construction of Complex Ecological Niche Models},
shorttitle = {{{ENMTML}}},
author = {de Andrade, Andr{\'e} Felipe Alves and Velazco, Santiago Jos{\'e} El{\'i}as and De Marco J{\'u}nior, Paulo},
year = {2020},
month = mar,
journal = {Environmental Modelling \& Software},
volume = {125},
pages = {104615},
issn = {1364-8152},
doi = {10.1016/j.envsoft.2019.104615},
langid = {english},
keywords = {Model evaluation,Niche modeling,Open-source software,Species distribution model},
file = {/Users/bbest/Zotero/storage/WE6PV3I9/Andrade et al - 2020 - ENMTML.pdf;/Users/bbest/Zotero/storage/JQ82S5C6/S1364815219310424.html}
}
@misc{andrewfoggHistoryMachineLearning2018,
title = {A {{History}} of {{Machine Learning}} and {{Deep Learning}}},
author = {Andrew Fogg},
year = {2018},
month = may,
journal = {Import.io},
langid = {american},
file = {/Users/bbest/Zotero/storage/LCNUUV7I/history-of-deep-learning.html}
}
@incollection{beerySpeciesDistributionModeling2021,
title = {Species {{Distribution Modeling}} for {{Machine Learning Practitioners}}: {{A Review}}},
shorttitle = {Species {{Distribution Modeling}} for {{Machine Learning Practitioners}}},
booktitle = {{{ACM SIGCAS Conference}} on {{Computing}} and {{Sustainable Societies}}},
author = {Beery, Sara and Cole, Elijah and Parker, Joseph and Perona, Pietro and Winner, Kevin},
year = {2021},
month = jun,
pages = {329--348},
publisher = {{Association for Computing Machinery}},
address = {{New York, NY, USA}},
isbn = {978-1-4503-8453-7},
keywords = {ecological niche modeling,machine learning,species distribution modeling},
file = {/Users/bbest/Zotero/storage/44Q59M5U/Beery et al - 2021 - Species Distribution Modeling for Machine Learning Practitioners.pdf}
}
@incollection{borcardAssociationMeasuresMatrices2011,
title = {Association {{Measures}} and {{Matrices}}},
booktitle = {Numerical {{Ecology}} with {{R}}},
author = {Borcard, Daniel and Gillet, Fran{\c c}ois and Legendre, Pierre},
editor = {Borcard, Daniel and Gillet, Francois and Legendre, Pierre},
year = {2011},
series = {Use {{R}}},
pages = {31--51},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4419-7976-6_3},
isbn = {978-1-4419-7976-6},
langid = {english},
keywords = {Absence Data,Association Measure,Hellinger Distance,Jaccard Similarity,Species Data},
file = {/Users/bbest/Zotero/storage/XQ52FKKT/Borcard et al - 2011 - Association Measures and Matrices.pdf}
}
@incollection{borcardCanonicalOrdination2011,
title = {Canonical {{Ordination}}},
booktitle = {Numerical {{Ecology}} with {{R}}},
author = {Borcard, Daniel and Gillet, Fran{\c c}ois and Legendre, Pierre},
editor = {Borcard, Daniel and Gillet, Francois and Legendre, Pierre},
year = {2011},
series = {Use {{R}}},
pages = {153--225},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4419-7976-6_6},
isbn = {978-1-4419-7976-6},
langid = {english},
keywords = {Canonical Correlation Analysis,Canonical Correspondence Analysis,Explanatory Variable,Fish Community,Linear Discriminant Analysis},
file = {/Users/bbest/Zotero/storage/LA92FLLB/Borcard et al - 2011 - Canonical Ordination.pdf}
}
@incollection{borcardClusterAnalysis2011,
title = {Cluster {{Analysis}}},
booktitle = {Numerical {{Ecology}} with {{R}}},
author = {Borcard, Daniel and Gillet, Fran{\c c}ois and Legendre, Pierre},
editor = {Borcard, Daniel and Gillet, Francois and Legendre, Pierre},
year = {2011},
series = {Use {{R}}},
pages = {53--114},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4419-7976-6_4},
isbn = {978-1-4419-7976-6},
langid = {english},
keywords = {Cophenetic Correlation,Indicator Species,Multivariate Regression Tree,Silhouette Width,Species Data},
file = {/Users/bbest/Zotero/storage/DP3URYFD/Borcard et al - 2011 - Cluster Analysis.pdf}
}
@incollection{borcardExploratoryDataAnalysis2011,
title = {Exploratory {{Data Analysis}}},
booktitle = {Numerical {{Ecology}} with {{R}}},
author = {Borcard, Daniel and Gillet, Fran{\c c}ois and Legendre, Pierre},
editor = {Borcard, Daniel and Gillet, Francois and Legendre, Pierre},
year = {2011},
series = {Use {{R}}},
pages = {9--30},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4419-7976-6_2},
isbn = {978-1-4419-7976-6},
langid = {english},
keywords = {Exploratory Data Analysis,Fourth Root,Multidimensional Data,Species Data,Vegan Package},
file = {/Users/bbest/Zotero/storage/5KUBSTQV/Borcard et al - 2011 - Exploratory Data Analysis.pdf}
}
@incollection{borcardIntroduction2011,
title = {Introduction},
booktitle = {Numerical {{Ecology}} with {{R}}},
author = {Borcard, Daniel and Gillet, Fran{\c c}ois and Legendre, Pierre},
editor = {Borcard, Daniel and Gillet, Francois and Legendre, Pierre},
year = {2011},
series = {Use {{R}}},
pages = {1--7},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4419-7976-6_1},
isbn = {978-1-4419-7976-6},
langid = {english},
file = {/Users/bbest/Zotero/storage/Z57NBKB6/Borcard et al - 2011 - Introduction.pdf}
}
@book{borcardNumericalEcology2011a,
title = {Numerical {{Ecology}} with {{R}}},
author = {Borcard, Daniel and Gillet, Francois and Legendre, Pierre},
year = {2011},
publisher = {{Springer New York}},
address = {{New York, NY}},
doi = {10.1007/978-1-4419-7976-6},
isbn = {978-1-4419-7975-9 978-1-4419-7976-6},
langid = {english},
file = {/Users/bbest/Zotero/storage/IKS5EYZ4/Borcard et al. - 2011 - front.pdf;/Users/bbest/Zotero/storage/VR53BC2Q/Borcard et al. - 2011 - back.pdf}
}
@incollection{borcardSpatialAnalysisEcological2011,
title = {Spatial {{Analysis}} of {{Ecological Data}}},
booktitle = {Numerical {{Ecology}} with {{R}}},
author = {Borcard, Daniel and Gillet, Fran{\c c}ois and Legendre, Pierre},
editor = {Borcard, Daniel and Gillet, Francois and Legendre, Pierre},
year = {2011},
series = {Use {{R}}},
pages = {227--292},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4419-7976-6_7},
isbn = {978-1-4419-7976-6},
langid = {english},
keywords = {Connectivity Matrice,Connectivity Matrix,Distance Class,Spatial Autocorrelation,Spatial Correlation},
file = {/Users/bbest/Zotero/storage/UZQPNGI3/Borcard et al - 2011 - Spatial Analysis of Ecological Data.pdf}
}
@incollection{borcardUnconstrainedOrdination2011,
title = {Unconstrained {{Ordination}}},
booktitle = {Numerical {{Ecology}} with {{R}}},
author = {Borcard, Daniel and Gillet, Fran{\c c}ois and Legendre, Pierre},
editor = {Borcard, Daniel and Gillet, Francois and Legendre, Pierre},
year = {2011},
series = {Use {{R}}},
pages = {115--151},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4419-7976-6_5},
isbn = {978-1-4419-7976-6},
langid = {english},
keywords = {Biological Oxygen Demand,Correspondence Analysis,Detrended Correspondence Analysis,Principal Component Analysis,Species Data},
file = {/Users/bbest/Zotero/storage/XW8NDTDK/Borcard et al - 2011 - Unconstrained Ordination.pdf}
}
@article{borensteinAIEthicsLong2021,
title = {{{AI Ethics}}: {{A Long History}} and a {{Recent Burst}} of {{Attention}}},
shorttitle = {{{AI Ethics}}},
author = {Borenstein, Jason and Grodzinsky, Frances S. and Howard, Ayanna and Miller, Keith W. and Wolf, Marty J.},
year = {2021},
month = jan,
journal = {Computer},
volume = {54},
number = {1},
pages = {96--102},
issn = {1558-0814},
doi = {10.1109/MC.2020.3034950},
file = {/Users/bbest/Zotero/storage/EGD5MAVF/Borenstein et al - 2021 - AI Ethics.pdf}
}
@article{borowiczAerialtrainedDeepLearning2019a,
title = {Aerial-Trained Deep Learning Networks for Surveying Cetaceans from Satellite Imagery},
author = {Borowicz, Alex and Le, Hieu and Humphries, Grant and Nehls, Georg and H{\"o}schle, Caroline and Kosarev, Vladislav and Lynch, Heather J.},
year = {2019},
month = oct,
journal = {PLOS ONE},
volume = {14},
number = {10},
pages = {e0212532},
publisher = {{Public Library of Science}},
issn = {1932-6203},
doi = {10.1371/journal.pone.0212532},
langid = {english},
keywords = {Humpback whales,Machine learning algorithms,Minke whales,Neural networks,Oceans,Right whales,Surveys,Whales},
file = {/Users/bbest/Zotero/storage/JF9AXA3P/Borowicz et al - 2019 - Aerial-trained deep learning networks for surveying cetaceans from satellite imagery.pdf;/Users/bbest/Zotero/storage/4CJJ8J6A/article.html}
}
@misc{borowiecDeepLearningTool2021,
title = {Deep Learning as a Tool for Ecology and Evolution},
author = {Borowiec, Marek L. and Frandsen, Paul and Dikow, Rebecca and McKeeken, Alexander and Valentini, Gabriele and White, Alexander E.},
year = {2021},
month = jun,
institution = {{EcoEvoRxiv}},
doi = {10.32942/osf.io/nt3as},
langid = {american},
keywords = {Behavior,Deep learning,Ecology,Ecology and Evolutionary Biology,Evolution,Genomics,Life Sciences,Machine learning,Modeling,Phylogenetics,Population genetics,Review,Species delimitation,Statistics},
file = {/Users/bbest/Zotero/storage/SP3KJEQ7/Borowiec et al - 2021 - Deep learning as a tool for ecology and evolution.pdf}
}
@misc{BuildingPredictionModel,
title = {Building a {{Prediction Model}} Using {{ML Techniques- Techniques Used}}: {{GLM}}, {{Tree}}, {{GAM}}, {{Neural Networks}}, {{SVM}}, {{Random Forests}}, {{Bagging}} and {{Boosting}}},
howpublished = {http://rstudio-pubs-static.s3.amazonaws.com/261966\_f9275258a8ea4865b53dbccc6503b2ff.html\#random-forests},
file = {/Users/bbest/Zotero/storage/MCJGCARQ/261966_f9275258a8ea4865b53dbccc6503b2ff.html}
}
@incollection{chatilaIEEEGlobalInitiative2019,
title = {The {{IEEE Global Initiative}} on {{Ethics}} of {{Autonomous}} and {{Intelligent Systems}}},
booktitle = {Robotics and {{Well-Being}}},
author = {Chatila, Raja and Havens, John C.},
editor = {Aldinhas Ferreira, Maria Isabel and Silva Sequeira, Jo{\~a}o and Singh Virk, Gurvinder and Tokhi, Mohammad Osman and E. Kadar, Endre},
year = {2019},
volume = {95},
pages = {11--16},
publisher = {{Springer International Publishing}},
address = {{Cham}},
doi = {10.1007/978-3-030-12524-0_2},
isbn = {978-3-030-12523-3 978-3-030-12524-0},
langid = {english},
file = {/Users/bbest/Zotero/storage/4G44HVAW/Chatila and Havens - 2019 - The IEEE Global Initiative on Ethics of Autonomous.pdf}
}
@article{chenOperationalMachineLearning2019,
title = {An Operational Machine Learning Approach to Predict Mosquito Abundance Based on Socioeconomic and Landscape Patterns},
author = {Chen, Shi and Whiteman, Ari and Li, Ang and Rapp, Tyler and Delmelle, Eric and Chen, Gang and Brown, Cheryl L. and Robinson, Patrick and Coffman, Maren J. and Janies, Daniel and Dulin, Michael},
year = {2019},
month = jun,
journal = {Landscape Ecol},
volume = {34},
number = {6},
pages = {1295--1311},
issn = {1572-9761},
doi = {10.1007/s10980-019-00839-2},
langid = {english}
}
@book{cholletDeepLearning2018,
title = {Deep Learning with {{R}}},
author = {Chollet, Fran{\c c}ois and Allaire, Joseph J.},
year = {2018},
publisher = {{Manning Publications Co}},
address = {{Shelter Island, NY}},
isbn = {978-1-61729-554-6},
langid = {english},
lccn = {QA276.45.R3 C46 2018},
keywords = {Artificial intelligence,Computer vision,Data processing,Machine learning,Mathematical statistics,Neural networks (Computer science),R (Computer program language),Technological innovations},
annotation = {OCLC: on1022850710},
file = {/Users/bbest/Zotero/storage/FBEQZRAZ/Chollet and Allaire - 2018 - Deep learning with R.pdf}
}
@book{cholletDeepLearningPython2018,
title = {Deep {{Learning}} with {{Python}}},
author = {Chollet, Francois},
year = {2018},
edition = {1st edition},
publisher = {{Manning}},
address = {{Shelter Island, New York}},
isbn = {978-1-61729-443-3},
langid = {english}
}
@article{christinApplicationsDeepLearning2019,
title = {Applications for Deep Learning in Ecology},
author = {Christin, Sylvain and Hervet, {\'E}ric and Lecomte, Nicolas},
year = {2019},
journal = {Methods in Ecology and Evolution},
volume = {10},
number = {10},
pages = {1632--1644},
issn = {2041-210X},
doi = {10.1111/2041-210X.13256},
langid = {english},
keywords = {artificial intelligence,automatic monitoring,deep learning,ecology,neural network,pattern recognition},
annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13256},
file = {/Users/bbest/Zotero/storage/SPQDFLIA/Christin et al - 2019 - Applications for deep learning in ecology.pdf;/Users/bbest/Zotero/storage/2976WFM4/2041-210X.html}
}
@book{dasDeepLearning,
title = {Deep {{Learning}}},
author = {Das, Subir Varma {and} Sanjiv},
file = {/Users/bbest/Zotero/storage/I9GDF96E/DLBook.html}
}
@misc{DatadrivenVariableSelection,
title = {Data-Driven Variable Selection},
howpublished = {https://consbiol-unibern.github.io/SDMtune/articles/articles/variable\_selection.html},
langid = {english},
file = {/Users/bbest/Zotero/storage/MJWK2XMJ/variable_selection.html}
}
@misc{DeepLearningMotion,
title = {Deep {{Learning}} with {{R}} in {{Motion}}},
journal = {Manning Publications},
howpublished = {https://www.manning.com/livevideo/deep-learning-with-r-in-motion},
langid = {english},
file = {/Users/bbest/Zotero/storage/5X4YACV7/deep-learning-with-r-in-motion.html}
}
@article{dinersteinGlobalDealNature2019a,
title = {A {{Global Deal For Nature}}: {{Guiding}} Principles, Milestones, and Targets},
shorttitle = {A {{Global Deal For Nature}}},
author = {Dinerstein, E. and Vynne, C. and Sala, E. and Joshi, A. R. and Fernando, S. and Lovejoy, T. E. and Mayorga, J. and Olson, D. and Asner, G. P. and Baillie, J. E. M. and Burgess, N. D. and Burkart, K. and Noss, R. F. and Zhang, Y. P. and Baccini, A. and Birch, T. and Hahn, N. and Joppa, L. N. and Wikramanayake, E.},
year = {2019},
month = apr,
journal = {Science Advances},
publisher = {{American Association for the Advancement of Science}},
doi = {10.1126/sciadv.aaw2869},
copyright = {Copyright \textcopyright{} 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).},
langid = {english},
file = {/Users/bbest/Zotero/storage/7QET33J5/Dinerstein et al - 2019 - A Global Deal For Nature.pdf;/Users/bbest/Zotero/storage/A66KC7LJ/sciadv.html}
}
@article{elithSpeciesDistributionModels2009,
title = {Species {{Distribution Models}}: {{Ecological Explanation}} and {{Prediction Across Space}} and {{Time}}},
shorttitle = {Species {{Distribution Models}}},
author = {Elith, Jane and Leathwick, John R.},
year = {2009},
month = dec,
journal = {Annu. Rev. Ecol. Evol. Syst.},
volume = {40},
number = {1},
pages = {677--697},
issn = {1543-592X},
doi = {10.1146/annurev.ecolsys.110308.120159},
file = {/Users/bbest/Zotero/storage/HCKGGV2I/Elith and Leathwick - 2009 - Species Distribution Models Ecological Explanatio.pdf;/Users/bbest/Zotero/storage/NG3N3QA3/ElithLeathwick2009_suppl.pdf;/Users/bbest/Zotero/storage/8STIVUC9/annurev.ecolsys.110308.html}
}
@article{elithStatisticalExplanationMaxEnt2011,
title = {A Statistical Explanation of {{MaxEnt}} for Ecologists},
author = {Elith, Jane and Phillips, Steven J. and Hastie, Trevor and Dud{\'i}k, Miroslav and Chee, Yung En and Yates, Colin J.},
year = {2011},
journal = {Diversity and Distributions},
volume = {17},
number = {1},
pages = {43--57},
issn = {1472-4642},
keywords = {Absence,ecological niche,Ecological niche,entropy,machine learning,presence-only,Presence-only,species distribution model,Species distribution model},
file = {/Users/bbest/Zotero/storage/FTTBPS3T/mv_maxent.pdf;/Users/bbest/Zotero/storage/V2EULLWF/Elith et al - 2011 - A statistical explanation of MaxEnt for ecologists.pdf;/Users/bbest/Zotero/storage/9VNAU8IE/full.html}
}
@incollection{evansModelingSpeciesDistribution2011,
title = {Modeling {{Species Distribution}} and {{Change Using Random Forest}}},
booktitle = {Predictive {{Species}} and {{Habitat Modeling}} in {{Landscape Ecology}}: {{Concepts}} and {{Applications}}},
author = {Evans, Jeffrey S. and Murphy, Melanie A. and Holden, Zachary A. and Cushman, Samuel A.},
editor = {Drew, C. Ashton and Wiersma, Yolanda F. and Huettmann, Falk},
year = {2011},
pages = {139--159},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4419-7390-0_8},
isbn = {978-1-4419-7390-0},
langid = {english},
keywords = {Climate Space,Minority Class,Niche Model,Random Forest Algorithm,Random Forest Model},
file = {/Users/bbest/Zotero/storage/RPCVNL5Z/Evans et al - 2011 - Modeling Species Distribution and Change Using Random Forest.pdf}
}
@article{fengCollinearityEcologicalNiche2019,
title = {Collinearity in Ecological Niche Modeling: {{Confusions}} and Challenges},
shorttitle = {Collinearity in Ecological Niche Modeling},
author = {Feng, Xiao and Park, Daniel S. and Liang, Ye and Pandey, Ranjit and Pape{\c s}, Monica},
year = {2019},
journal = {Ecology and Evolution},
volume = {9},
number = {18},
pages = {10365--10376},
issn = {2045-7758},
doi = {10.1002/ece3.5555},
langid = {english},
keywords = {bioclim,collinearity shift,ecological niche,mammal,model transfer,predictor selection,species distribution model},
annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.5555},
file = {/Users/bbest/Zotero/storage/GRV4JPA8/Feng et al - 2019 - Collinearity in ecological niche modeling.pdf;/Users/bbest/Zotero/storage/86ADY6X3/ece3.html}
}
@article{ferreiraDeepLearningbasedMethods2020,
title = {Deep Learning-Based Methods for Individual Recognition in Small Birds},
author = {Ferreira, Andr{\'e} C. and Silva, Liliana R. and Renna, Francesco and Brandl, Hanja B. and Renoult, Julien P. and Farine, Damien R. and Covas, Rita and Doutrelant, Claire},
year = {2020},
journal = {Methods in Ecology and Evolution},
volume = {11},
number = {9},
pages = {1072--1085},
issn = {2041-210X},
doi = {10.1111/2041-210X.13436},
langid = {english},
keywords = {artificial intelligence,automated,convolutional neural networks,data collection,deep learning,individual identification},
annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13436},
file = {/Users/bbest/Zotero/storage/Q3G5YDZJ/Ferreira et al - 2020 - Deep learning-based methods for individual recognition in small birds.pdf;/Users/bbest/Zotero/storage/EWWUHIFW/2041-210X.html}
}
@article{flemingMachineLearningEarth2021,
title = {Machine Learning in {{Earth}} and Environmental Science Requires Education and Research Policy Reforms},
author = {Fleming, Sean W. and Watson, James R. and Ellenson, Ashley and Cannon, Alex J. and Vesselinov, Velimir C.},
year = {2021},
month = dec,
journal = {Nat. Geosci.},
volume = {14},
number = {12},
pages = {878--880},
issn = {1752-0894, 1752-0908},
doi = {10.1038/s41561-021-00865-3},
langid = {english},
file = {/Users/bbest/Zotero/storage/P8ADK8FL/Fleming et al. - 2021 - Machine learning in Earth and environmental scienc.pdf}
}
@article{fletcherPracticalGuideCombining2019,
title = {A Practical Guide for Combining Data to Model Species Distributions},
author = {Fletcher, Robert J. and Hefley, Trevor J. and Robertson, Ellen P. and Zuckerberg, Benjamin and McCleery, Robert A. and Dorazio, Robert M.},
year = {2019},
journal = {Ecology},
volume = {100},
number = {6},
pages = {e02710},
issn = {1939-9170},
doi = {10.1002/ecy.2710},
copyright = {\textcopyright{} 2019 by the Ecological Society of America},
langid = {english},
keywords = {citizen science,data fusion,ecological niche model,habitat suitability model,integrated model,spatial point process,Special Feature: Data Integration for Population Models,species distribution model},
annotation = {\_eprint: https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.2710},
file = {/Users/bbest/Zotero/storage/NDUXBJJ5/Fletcher et al - 2019 - A practical guide for combining data to model species distributions.pdf;/Users/bbest/Zotero/storage/VCPVCXCT/ecy2710-sup-0001-appendixs1.pdf;/Users/bbest/Zotero/storage/RDQK7JYF/ecy.html}
}
@misc{footeBriefHistoryMachine2021,
title = {A {{Brief History}} of {{Machine Learning}}},
author = {Foote, Keith D.},
year = {2021},
month = dec,
journal = {DATAVERSITY},
langid = {american},
file = {/Users/bbest/Zotero/storage/H4FMLHIL/a-brief-history-of-machine-learning.html}
}
@misc{foxAskUsAnything2020,
title = {Ask Us Anything: The Future of Machine Learning in Ecology},
shorttitle = {Ask Us Anything},
author = {Fox, Jeremy},
year = {2020},
month = jul,
journal = {Dynamic Ecology},
langid = {english},
file = {/Users/bbest/Zotero/storage/ESTNJ32W/ask-us-anything-the-future-of-machine-learning-in-ecology.html}
}
@article{freyPuttingMachineLearning2020,
title = {Putting Machine Learning to Use in Natural Resource Management\textemdash Improving Model Performance},
author = {Frey, Ulrich},
year = {2020},
month = dec,
journal = {Ecology and Society},
volume = {25},
number = {4},
publisher = {{The Resilience Alliance}},
issn = {1708-3087},
doi = {10.5751/ES-12124-250445},
copyright = {\textcopyright{} 2020 by the author(s)},
langid = {english},
file = {/Users/bbest/Zotero/storage/GDGKAAT9/Frey - 2020 - Putting machine learning to use in natural resource management—improving model performance.pdf;/Users/bbest/Zotero/storage/WDX3SZBI/art45.html}
}
@article{gajaneFormalizingFairnessPrediction2018,
title = {On {{Formalizing Fairness}} in {{Prediction}} with {{Machine Learning}}},
author = {Gajane, Pratik and Pechenizkiy, Mykola},
year = {2018},
month = may,
journal = {arXiv:1710.03184 [cs, stat]},
eprint = {1710.03184},
eprinttype = {arxiv},
primaryclass = {cs, stat},
archiveprefix = {arXiv},
langid = {english},
keywords = {Computer Science - Artificial Intelligence,Computer Science - Machine Learning,Statistics - Machine Learning},
file = {/Users/bbest/Zotero/storage/MJXD6PKI/Gajane and Pechenizkiy - 2018 - On Formalizing Fairness in Prediction with Machine.pdf}
}
@misc{GeneralizableAccessibleApproach,
title = {A {{Generalizable}} and {{Accessible Approach}} to {{Machine Learning}} with {{Global Satellite Imagery}} | {{Code Ocean}}},
howpublished = {https://codeocean.com/capsule/6456296/tree/v2},
file = {/Users/bbest/Zotero/storage/MIV2IEPT/v2.html}
}
@book{geronHandsOnMachineLearning2019,
title = {Hands-{{On Machine Learning}} with {{Scikit-Learn}}, {{Keras}}, and {{TensorFlow}}: {{Concepts}}, {{Tools}}, and {{Techniques}} to {{Build Intelligent Systems}}},
shorttitle = {Hands-{{On Machine Learning}} with {{Scikit-Learn}}, {{Keras}}, and {{TensorFlow}}},
author = {G{\'e}ron, Aur{\'e}lien},
year = {2019},
month = oct,
edition = {2nd edition},
publisher = {{O'Reilly Media}},
address = {{Beijing China ; Sebastopol, CA}},
isbn = {978-1-4920-3264-9},
langid = {english}
}
@article{gomesSpeciesDistributionModelling2018,
title = {Species {{Distribution Modelling}}: {{Contrasting}} Presence-Only Models with Plot Abundance Data},
shorttitle = {Species {{Distribution Modelling}}},
author = {Gomes, Vitor H. F. and IJff, St{\'e}phanie D. and Raes, Niels and Amaral, I{\^e}da Le{\~a}o and Salom{\~a}o, Rafael P. and {de Souza Coelho}, Luiz and {de Almeida Matos}, Francisca Dion{\'i}zia and Castilho, Carolina V. and {de Andrade Lima Filho}, Diogenes and L{\'o}pez, Dairon C{\'a}rdenas and Guevara, Juan Ernesto and Magnusson, William E. and Phillips, Oliver L. and Wittmann, Florian and {de Jesus Veiga Carim}, Marcelo and Martins, Maria Pires and Irume, Mariana Vict{\'o}ria and Sabatier, Daniel and Molino, Jean-Fran{\c c}ois and B{\'a}nki, Olaf S. and {da Silva Guimar{\~a}es}, Jos{\'e} Renan and Pitman, Nigel C. A. and Piedade, Maria Teresa Fernandez and Mendoza, Abel Monteagudo and Luize, Bruno Garcia and Venticinque, Eduardo Martins and {de Le{\~a}o Novo}, Evlyn M{\'a}rcia Moraes and Vargas, Percy N{\'u}{\~n}ez and Silva, Thiago Sanna Freire and Manzatto, Angelo Gilberto and Terborgh, John and Reis, Neidiane Farias Costa and Montero, Juan Carlos and Casula, Katia Regina and Marimon, Beatriz S. and Marimon, Ben-Hur and Coronado, Euridice N. Honorio and Feldpausch, Ted R. and Duque, Alvaro and Zartman, Charles Eugene and Arboleda, Nicol{\'a}s Casta{\~n}o and Killeen, Timothy J. and Mostacedo, Bonifacio and Vasquez, Rodolfo and Sch{\"o}ngart, Jochen and Assis, Rafael L. and Medeiros, Marcelo Brilhante and Simon, Marcelo Fragomeni and Andrade, Ana and Laurance, William F. and Camargo, Jos{\'e} Lu{\'i}s and Demarchi, Layon O. and Laurance, Susan G. W. and {de Sousa Farias}, Emanuelle and Nascimento, Henrique Eduardo Mendon{\c c}a and Revilla, Juan David Cardenas and Quaresma, Adriano and Costa, Flavia R. C. and Vieira, Ima C{\'e}lia Guimar{\~a}es and Cintra, Bruno Bar{\c c}ante Ladvocat and Castellanos, Hern{\'a}n and Brienen, Roel and Stevenson, Pablo R. and Feitosa, Yuri and Duivenvoorden, Joost F. and Aymard C., Gerardo A. and Mogoll{\'o}n, Hugo F. and Targhetta, Natalia and Comiskey, James A. and Vicentini, Alberto and Lopes, Aline and Damasco, Gabriel and D{\'a}vila, N{\'a}llarett and {Garc{\'i}a-Villacorta}, Roosevelt and Levis, Carolina and Schietti, Juliana and Souza, Priscila and Emilio, Thaise and Alonso, Alfonso and Neill, David and Dallmeier, Francisco and Ferreira, Leandro Valle and {Araujo-Murakami}, Alejandro and Praia, Daniel and {do Amaral}, D{\'a}rio Dantas and Carvalho, Fernanda Antunes and {de Souza}, Fernanda Coelho and Feeley, Kenneth and Arroyo, Luzmila and Pansonato, Marcelo Petratti and Gribel, Rogerio and Villa, Boris and Licona, Juan Carlos and Fine, Paul V. A. and Cer{\'o}n, Carlos and Baraloto, Chris and Jimenez, Eliana M. and Stropp, Juliana and Engel, Julien and Silveira, Marcos and Mora, Maria Cristina Pe{\~n}uela and Petronelli, Pascal and Maas, Paul and {Thomas-Caesar}, Raquel and Henkel, Terry W. and Daly, Doug and Paredes, Marcos R{\'i}os and Baker, Tim R. and Fuentes, Alfredo and Peres, Carlos A. and Chave, Jerome and Pena, Jose Luis Marcelo and Dexter, Kyle G. and Silman, Miles R. and J{\o}rgensen, Peter M{\o}ller and Pennington, Toby and Di Fiore, Anthony and Valverde, Fernando Cornejo and Phillips, Juan Fernando and {Rivas-Torres}, Gonzalo and {von Hildebrand}, Patricio and {van Andel}, Tinde R. and Ruschel, Ademir R. and Prieto, Adriana and Rudas, Agust{\'i}n and Hoffman, Bruce and Vela, C{\'e}sar I. A. and Barbosa, Edelcilio Marques and Zent, Egle{\'e} L. and Gonzales, George Pepe Gallardo and Doza, Hilda Paulette D{\'a}vila and {de Andrade Miranda}, Ires Paula and Guillaumet, Jean-Louis and Pinto, Linder Felipe Mozombite and {de Matos Bonates}, Luiz Carlos and Silva, Natalino and G{\'o}mez, Ricardo Z{\'a}rate and Zent, Stanford and Gonzales, Therany and Vos, Vincent A. and Malhi, Yadvinder and Oliveira, Alexandre A. and Cano, Angela and Albuquerque, Bianca Weiss and Vriesendorp, Corine and Correa, Diego Felipe and Torre, Emilio Vilanova and {van der Heijden}, Geertje and {Ramirez-Angulo}, Hirma and Ramos, Jos{\'e} Ferreira and Young, Kenneth R. and Rocha, Maira and Nascimento, Marcelo Trindade and Medina, Maria Natalia Uma{\~n}a and Tirado, Milton and Wang, Ophelia and Sierra, Rodrigo and {Torres-Lezama}, Armando and Mendoza, Casimiro and Ferreira, Cid and Baider, Cl{\'a}udia and Villarroel, Daniel and Balslev, Henrik and Mesones, Italo and Giraldo, Ligia Estela Urrego and Casas, Luisa Fernanda and Reategui, Manuel Augusto Ahuite and {Linares-Palomino}, Reynaldo and Zagt, Roderick and C{\'a}rdenas, Sasha and {Farfan-Rios}, William and Sampaio, Adeilza Felipe and Pauletto, Daniela and Sandoval, Elvis H. Valderrama and Arevalo, Freddy Ramirez and {Huamantupa-Chuquimaco}, Isau and {Garcia-Cabrera}, Karina and Hernandez, Lionel and Gamarra, Luis Valenzuela and Alexiades, Miguel N. and Pansini, Susamar and Cuenca, Walter Palacios and Milliken, William and Ricardo, Joana and {Lopez-Gonzalez}, Gabriela and Pos, Edwin and {ter Steege}, Hans},
year = {2018},
month = jan,
journal = {Sci Rep},
volume = {8},
number = {1},
pages = {1003},
publisher = {{Nature Publishing Group}},
issn = {2045-2322},
doi = {10.1038/s41598-017-18927-1},
copyright = {2018 The Author(s)},
langid = {english},
keywords = {Biodiversity,Ecological modelling},
annotation = {Bandiera\_abtest: a Cc\_license\_type: cc\_by Cg\_type: Nature Research Journals Primary\_atype: Research Subject\_term: Biodiversity;Ecological modelling Subject\_term\_id: biodiversity;ecological-modelling},
file = {/Users/bbest/Zotero/storage/MNWUDU9L/Gomes et al - 2018 - Species Distribution Modelling.pdf;/Users/bbest/Zotero/storage/6SWZKXBJ/s41598-017-18927-1.html}
}
@article{goodwinUnlockingPotentialDeep2021,
title = {Unlocking the Potential of Deep Learning for Marine Ecology: Overview, Applications, and Outlook},
shorttitle = {Unlocking the Potential of Deep Learning for Marine Ecology},
author = {Goodwin, Morten and Halvorsen, Kim Tallaksen and Jiao, Lei and Knausg{\aa}rd, Kristian Muri and Martin, Angela Helen and Moyano, Marta and Oomen, Rebekah A. and Rasmussen, Jeppe Have and S{\o}rdalen, Tonje Knutsen and Thorbj{\o}rnsen, Susanna Huneide},
year = {2021},
month = sep,
journal = {arXiv:2109.14737 [cs]},
eprint = {2109.14737},
eprinttype = {arxiv},
primaryclass = {cs},
archiveprefix = {arXiv},
keywords = {Computer Science - Artificial Intelligence,Computer Science - Computer Vision and Pattern Recognition,Computer Science - Machine Learning},
file = {/Users/bbest/Zotero/storage/QEFG8GQH/Goodwin et al - 2021 - Unlocking the potential of deep learning for marine ecology.pdf;/Users/bbest/Zotero/storage/WT5E2QQB/2109.html}
}
@misc{GoogleColaboratory,
title = {Google {{Colaboratory}}},
howpublished = {https://colab.research.google.com/drive/1zf59xX0HAqv4MSyNEDA2O-ArEThK0-DB\#scrollTo=FRm2HczTIlKe},
langid = {english},
file = {/Users/bbest/Zotero/storage/WH6PSRLT/1zf59xX0HAqv4MSyNEDA2O-ArEThK0-DB.html}
}
@article{gorelickGoogleEarthEngine2017b,
title = {Google {{Earth Engine}}: {{Planetary-scale}} Geospatial Analysis for Everyone},
shorttitle = {Google {{Earth Engine}}},
author = {Gorelick, Noel and Hancher, Matt and Dixon, Mike and Ilyushchenko, Simon and Thau, David and Moore, Rebecca},
year = {2017},
month = dec,
journal = {Remote Sensing of Environment},
series = {Big {{Remotely Sensed Data}}: Tools, Applications and Experiences},
volume = {202},
pages = {18--27},
issn = {0034-4257},
doi = {10.1016/j.rse.2017.06.031},
langid = {english},
keywords = {Analysis,Big data,Cloud computing,Data democratization,Earth Engine,Platform},
file = {/Users/bbest/Zotero/storage/TFQENZQM/Gorelick et al - 2017 - Google Earth Engine.pdf;/Users/bbest/Zotero/storage/D9XNTF5Q/S0034425717302900.html}
}
@article{gormanEcologicalSexualDimorphism2014,
title = {Ecological {{Sexual Dimorphism}} and {{Environmental Variability}} within a {{Community}} of {{Antarctic Penguins}} ({{Genus Pygoscelis}})},
author = {Gorman, Kristen B. and Williams, Tony D. and Fraser, William R.},
year = {2014},
month = mar,
journal = {PLOS ONE},
volume = {9},
number = {3},
pages = {e90081},
publisher = {{Public Library of Science}},
issn = {1932-6203},
doi = {10.1371/journal.pone.0090081},
langid = {english},
keywords = {Animal sexual behavior,Antarctica,Ecological niches,Foraging,Islands,Isotopes,Penguins,Sea ice},
file = {/Users/bbest/Zotero/storage/JNWSQ7LA/Gorman et al - 2014 - Ecological Sexual Dimorphism and Environmental Variability within a Community of Antarctic Penguins (Genus Pygoscelis).pdf;/Users/bbest/Zotero/storage/CMWS4J45/article.html}
}
@book{greenwellHandsOnMachineLearning2020,
title = {Hands-{{On Machine Learning}} with {{R}}},
author = {Greenwell, Bradley Boehmke \& Brandon},
year = {2020},
file = {/Users/bbest/Zotero/storage/W3MKMTK2/HOML.html}
}
@article{guisanPredictiveHabitatDistribution2000,
title = {Predictive Habitat Distribution Models in Ecology},
author = {Guisan, Antoine and Zimmermann, Niklaus E.},
year = {2000},
month = dec,
journal = {Ecological Modelling},
volume = {135},
number = {2-3},
pages = {147--186},
doi = {10.1016/S0304-3800(00)00354-9},
keywords = {Biogeography,GIS,Model applicability,Model calibration,Model credibility,Model evaluation,Model formulation,Model predictions,Plant ecology,Species models,Statistics,Vegetation models},
file = {/Users/bbest/Zotero/storage/MMZV4SME/Guisan and Zimmermann - 2000 - Predictive habitat distribution models in ecology.pdf;/Users/bbest/Zotero/storage/VB9NJC58/science.html}
}
@book{hijmansSpeciesDistributionModeling2021,
title = {Species Distribution Modeling with {{R}}},
author = {Hijmans, Robert J. and Elith, Jane},
year = {2021},
file = {/Users/bbest/Zotero/storage/86VPSGVK/Hijmans_Elith - 2013 - Species distribution modeling with R.pdf}
}
@article{hinoMachineLearningEnvironmental2018,
title = {Machine Learning for Environmental Monitoring},
author = {Hino, M. and Benami, E. and Brooks, N.},
year = {2018},
month = oct,
journal = {Nat Sustain},
volume = {1},
number = {10},
pages = {583--588},
publisher = {{Nature Publishing Group}},
issn = {2398-9629},
doi = {10.1038/s41893-018-0142-9},
copyright = {2018 The Author(s), under exclusive licence to Springer Nature Limited},
langid = {english},
keywords = {Environmental impact,Interdisciplinary studies,Sustainability,Water resources},
annotation = {Bandiera\_abtest: a Cg\_type: Nature Research Journals Primary\_atype: Research Subject\_term: Environmental impact;Interdisciplinary studies;Sustainability;Water resources Subject\_term\_id: environmental-impact;interdisciplinary-studies;sustainability;water-resources},
file = {/Users/bbest/Zotero/storage/7T8I9T3Y/Hino et al - 2018 - Machine learning for environmental monitoring.pdf;/Users/bbest/Zotero/storage/ZB9GNRLB/s41893-018-0142-9.html}
}
@misc{HistoryMachineLearning,
title = {A History of Machine Learning},
howpublished = {https://cloud.withgoogle.com/build/data-analytics/explore-history-machine-learning/},
langid = {american},
file = {/Users/bbest/Zotero/storage/F6MJXNZM/explore-history-machine-learning.html}
}
@article{howellMachineLearningEcology2020,
title = {Machine Learning as Ecology},
author = {Howell, Owen and Wenping, Cui and Marsland, Robert and Mehta, Pankaj},
year = {2020},
journal = {Journal of Physics A: Mathematical and Theoretical},
volume = {53},
number = {33},
pages = {334001},
publisher = {{IOP Publishing}},
file = {/Users/bbest/Zotero/storage/74RJAYV9/Howell et al - 2020 - Machine learning as ecology.pdf;/Users/bbest/Zotero/storage/VPDG8R9P/meta.html}
}
@book{hsiehMachineLearningMethods2009,
title = {Machine {{Learning Methods}} in the {{Environmental Sciences}}: {{Neural Networks}} and {{Kernels}}},
shorttitle = {Machine {{Learning Methods}} in the {{Environmental Sciences}}},
author = {Hsieh, William W.},
year = {2009},
publisher = {{Cambridge University Press}},
address = {{Cambridge}},
doi = {10.1017/CBO9780511627217},
isbn = {978-0-521-79192-2},
file = {/Users/bbest/Zotero/storage/AG4T4F25/494FDC330DA43C8AE8B649D897B441C6.html}
}
@book{humphriesMachineLearningEcology2018,
title = {Machine {{Learning}} for {{Ecology}} and {{Sustainable Natural Resource Management}}},
editor = {Humphries, Grant and Magness, Dawn R. and Huettmann, Falk},
year = {2018},
publisher = {{Springer International Publishing}},
address = {{Cham}},
doi = {10.1007/978-3-319-96978-7},
isbn = {978-3-319-96976-3 978-3-319-96978-7},
langid = {english},
file = {/Users/bbest/Zotero/storage/YPF7RP4T/Humphries et al. - 2018 - Machine Learning for Ecology and Sustainable Natur.pdf}
}
@incollection{humphriesMachineLearningWildlife2018,
title = {Machine Learning in Wildlife Biology: Algorithms, Data Issues and Availability, Workflows, Citizen Science, Code Sharing, Metadata and a Brief Historical Perspective},
shorttitle = {Machine Learning in Wildlife Biology},
booktitle = {Machine Learning for Ecology and Sustainable Natural Resource Management},
author = {Humphries, Grant RW and Huettmann, Falk},
year = {2018},
pages = {3--26},
publisher = {{Springer}},
file = {/Users/bbest/Zotero/storage/CMLYK8CT/Humphries_Huettmann - 2018 - Machine learning in wildlife biology.pdf;/Users/bbest/Zotero/storage/ALMEMM67/978-3-319-96978-7_1.html}
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year = {2019},
journal = {Frontiers in Ecology and the Environment},
volume = {17},
number = {10},
pages = {591--598},
issn = {1540-9309},
doi = {10.1002/fee.2111},
langid = {english},
annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/fee.2111},
file = {/Users/bbest/Zotero/storage/JR8B4C7W/Iacona et al - 2019 - Identifying technology solutions to bring conservation into the innovation era.pdf;/Users/bbest/Zotero/storage/B8E6R5RJ/fee.html}
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journal = {Nature},
volume = {552},
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pages = {325--328},
publisher = {{Nature Publishing Group}},
doi = {10.1038/d41586-017-08675-7},
copyright = {2021 Nature},
langid = {english},
keywords = {Biodiversity,Climate change},
annotation = {Bandiera\_abtest: a Cg\_type: Comment Subject\_term: Climate change, Biodiversity},
file = {/Users/bbest/Zotero/storage/CVZRH937/Joppa - 2017 - The case for technology investments in the environment.pdf;/Users/bbest/Zotero/storage/STNHSCD3/d41586-017-08675-7.html}
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title = {Evaluating Collinearity Effects on Species Distribution Models: {{An}} Approach Based on Virtual Species Simulation},
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author = {J{\'u}nior, Paulo De Marco and N{\'o}brega, Caroline Corr{\^e}a},
year = {2018},
month = sep,
journal = {PLOS ONE},
volume = {13},
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pages = {e0202403},
publisher = {{Public Library of Science}},
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doi = {10.1371/journal.pone.0202403},
langid = {english},
keywords = {Algorithms,Ecological niches,Environmental geography,Geographic distribution,Phylogeography,Principal component analysis,Simulation and modeling,Species delimitation},
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title = {Evaluating Collinearity Effects on Species Distribution Models: {{An}} Approach Based on Virtual Species Simulation},
shorttitle = {Evaluating Collinearity Effects on Species Distribution Models},
author = {J{\'u}nior, Paulo De Marco and N{\'o}brega, Caroline Corr{\^e}a},
year = {2018},
month = sep,
journal = {PLOS ONE},
volume = {13},
number = {9},
pages = {e0202403},
publisher = {{Public Library of Science}},
issn = {1932-6203},
doi = {10.1371/journal.pone.0202403},
langid = {english},
keywords = {Algorithms,Ecological niches,Environmental geography,Geographic distribution,Phylogeography,Principal component analysis,Simulation and modeling,Species delimitation},
file = {/Users/bbest/Zotero/storage/RK7U56BW/Júnior_Nóbrega - 2018 - Evaluating collinearity effects on species distribution models.pdf;/Users/bbest/Zotero/storage/P97AJ6V8/article.html}
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year = {2005},
publisher = {{World Agrofirestry Centre}},
address = {{Nairobi, Kenya}},
isbn = {978-92-9059-179-5},
langid = {english},
lccn = {SD387.M33 K56 2005},
keywords = {Forest ecology,Forests and forestry,Mathematical models},
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title = {Deep Learning and Satellite Imagery Predict Genetic Diversity and Differentiation},
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keywords = {biodiversity prediction,coastal dunes,convolutional neural networks,Ctenomys australis,deep learning,genetic differentiation,landscape genetics,subterranean rodents},
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title = {Clustering {{Algorithms}}},
author = {Learning, Great},
year = {2021},
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author = {Le Guillarme, Nicolas and Thuiller, Wilfried},
journal = {Methods in Ecology and Evolution},
volume = {n/a},
number = {n/a},
issn = {2041-210X},
doi = {10.1111/2041-210X.13778},
langid = {english},
keywords = {biodiversity databases,deep learning,ecological information extraction,taxonomic entity recognition,transfer learning},
annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13778},
file = {/Users/bbest/Zotero/storage/CRXG3MAM/Le Guillarme_Thuiller - TaxoNERD.pdf;/Users/bbest/Zotero/storage/JZ2GISQ7/2041-210X.html}
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title = {Application of Machine-Learning Methods in Forest Ecology: Recent Progress and Future Challenges},
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@misc{LiveVideoPremiumVideo,
title = {{{liveVideo}} \textbullet{} Premium Video Training by {{Manning}}},
howpublished = {https://livevideo.manning.com/module/52\_1\_1/deep-learning-with-r-in-motion/getting-started/welcome-to-the-video-series?},
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keywords = {interpretable machine learning,machine learning,model interpretation,phylogenetic regression,random effects,Random Forest},
annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecm.1422},
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publisher = {{Nature Publishing Group}},
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copyright = {2018 The Author(s)},
langid = {english},
keywords = {Civil engineering,Geomorphology,Physical oceanography},
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title = {Artificial {{Intelligence Meets Citizen Science}} to {{Supercharge Ecological Monitoring}}},
author = {McClure, Eva C. and Sievers, Michael and Brown, Christopher J. and Buelow, Christina A. and Ditria, Ellen M. and Hayes, Matthew A. and Pearson, Ryan M. and Tulloch, Vivitskaia J. D. and Unsworth, Richard K. F. and Connolly, Rod M.},
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@incollection{millardCensoredData2013,
title = {Censored {{Data}}},
booktitle = {{{EnvStats}}: {{An R Package}} for {{Environmental Statistics}}},
author = {Millard, Steven P.},
editor = {Millard, Steven P.},
year = {2013},
pages = {175--209},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4614-8456-1_8},
isbn = {978-1-4614-8456-1},
langid = {english},
keywords = {Censor Data,Lognormal Distribution,Monte Carlo Trial,Prediction Interval,Tolerance Interval},
file = {/Users/bbest/Zotero/storage/5Q8K8ETT/Millard - 2013 - Censored Data.pdf}
}
@incollection{millardDesigningSamplingProgram2013,
title = {Designing a {{Sampling Program}}},
booktitle = {{{EnvStats}}: {{An R Package}} for {{Environmental Statistics}}},
author = {Millard, Steven P.},
editor = {Millard, Steven P.},
year = {2013},
pages = {25--61},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4614-8456-1_2},
isbn = {978-1-4614-8456-1},
langid = {english},
keywords = {Confidence Level,Continuity Correction,Prediction Interval,Require Sample Size,Tolerance Interval},
file = {/Users/bbest/Zotero/storage/KY5GYUZX/Millard - 2013 - Designing a Sampling Program.pdf}
}
@incollection{millardEnvStatsPackageEnvironmental2014,
title = {{{EnvStats}}, an {{R Package}} for {{Environmental Statistics}}},
booktitle = {Wiley {{StatsRef}}: {{Statistics Reference Online}}},
author = {Millard, Steven P.},
year = {2014},
publisher = {{John Wiley \& Sons, Ltd}},
doi = {10.1002/9781118445112.stat07181},
isbn = {978-1-118-44511-2},
langid = {english},
keywords = {censored data,distribution fitting,parameter estimation,power and sample size,prediction intervals,R,simultaneous prediction intervals,software,tolerance intervals,trend estimation},
annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118445112.stat07181},
file = {/Users/bbest/Zotero/storage/VG5M6GZ2/Millard - 2014 - EnvStats, an R Package for Environmental Statistics.pdf;/Users/bbest/Zotero/storage/QDJ8C2TI/9781118445112.html}
}
@incollection{millardEstimatingDistributionParameters2013,
title = {Estimating {{Distribution Parameters}} and {{Quantiles}}},
booktitle = {{{EnvStats}}: {{An R Package}} for {{Environmental Statistics}}},
author = {Millard, Steven P.},
editor = {Millard, Steven P.},
year = {2013},
pages = {97--112},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4614-8456-1_5},
isbn = {978-1-4614-8456-1},
langid = {english},
keywords = {Confidence Limit,Estimate Quantile,Gamma Distribution,Lognormal Distribution,Tolerance Interval},
file = {/Users/bbest/Zotero/storage/82HZMRFC/Millard - 2013 - Estimating Distribution Parameters and Quantiles.pdf}
}
@incollection{millardGettingStarted2013,
title = {Getting {{Started}}},
booktitle = {{{EnvStats}}: {{An R Package}} for {{Environmental Statistics}}},
author = {Millard, Steven P.},
editor = {Millard, Steven P.},
year = {2013},
pages = {1--24},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4614-8456-1_1},
isbn = {978-1-4614-8456-1},
langid = {english},
keywords = {Cleanup Area,Confidence Interval Type,EnvStats,Qqplot,Quantile Test},
file = {/Users/bbest/Zotero/storage/8QXH22GX/Millard - 2013 - Getting Started.pdf}
}
@incollection{millardHypothesisTests2013,
title = {Hypothesis {{Tests}}},
booktitle = {{{EnvStats}}: {{An R Package}} for {{Environmental Statistics}}},
author = {Millard, Steven P.},
editor = {Millard, Steven P.},
year = {2013},
pages = {149--173},
publisher = {{Springer}},
address = {{New York, NY}},
doi = {10.1007/978-1-4614-8456-1_7},
isbn = {978-1-4614-8456-1},
langid = {english},
keywords = {Linear Rank Test,Lognormal Distribution,Probability Plot Correlation Coefficient,Seasonal Kendall Test,Test Statistic Parameter},
file = {/Users/bbest/Zotero/storage/62HFSMQ3/Millard - 2013 - Hypothesis Tests.pdf}
}
@incollection{millardLookingData2013,
title = {Looking at {{Data}}},
booktitle = {{{EnvStats}}: {{An R Package}} for {{Environmental Statistics}}},
author = {Millard, Steven P.},
editor = {Millard, Steven P.},
year = {2013},
pages = {63--78},
publisher = {{Springer}},
address = {{New York, NY}},