Baddeley, Adrian, Rolf Turner, and Ege Rubak. 2022. Spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests.
Bolstad, Paul. 2019. GIS Fundamentals: A First Text on Geographic Information Systems, Sixth Edition. XanEdu Publishing Inc.
Boryan, Claire, Zhengwei Yang, Rick Mueller, and Mike Craig. 2011. Monitoring U.S. Agriculture: the U.S. Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer program.” Geocarto International 26 (5): 341–58.
Breheny, Patrick, and Woodrow Burchett. 2020. Visreg: Visualization of Regression Models.
Charney, Noah D, Sydne Record, Beth E Gerstner, Cory Merow, Phoebe L Zarnetske, and Brian J Enquist. 2021. “A Test of Species Distribution Model Transferability Across Environmental and Geographic Space for 108 Western North American Tree Species.” Frontiers in Ecology and Evolution, 393.
Chen, Bowen. 2021. CropScapeR: Access Cropland Data Layer Data via the CropScape Web Service.
Cheng, Joe, Bhaskar Karambelkar, and Yihui Xie. 2022. Leaflet: Create Interactive Web Maps with the JavaScript Leaflet Library.
Daly, Christopher, Wayne P Gibson, George H Taylor, Gregory L Johnson, and Phillip Pasteris. 2002. “A Knowledge-Based Approach to the Statistical Mapping of Climate.” Climate Research 22 (2): 99–113.
Dark, Shawna J, and Danielle Bram. 2007. “The Modifiable Areal Unit Problem (MAUP) in Physical Geography.” Progress in Physical Geography 31 (5): 471–79.
Davies, Tilman M. 2016. The Book of r: A First Course in Programming and Statistics. No Starch Press.
Dunnington, Dewey. 2022. Ggspatial: Spatial Data Framework for Ggplot2.
Edmund, Hart, and Kendon Bell. 2020. Prism: Access Data from the Oregon State Prism Climate Project.
Eidenshink, Jeff, Brian Schwind, Ken Brewer, Zhi-Liang Zhu, Brad Quayle, and Stephen Howard. 2007. “A Project for Monitoring Trends in Burn Severity.” Fire Ecology 3 (1): 3–21.
Elith, Jane, and John R Leathwick. 2009. “Species Distribution Models: Ecological Explanation and Prediction Across Space and Time.” Annual Review of Ecology, Evolution and Systematics 40 (1): 677–97.
Elith, Jane, John R. Leathwick, and Trevor Hastie. 2008. “A Working Guide to Boosted Regression Trees.” Journal of Animal Ecology 77 (4): 802–13.
Fick, Stephen E, and Robert J Hijmans. 2017. WorldClim 2: New 1-Km Spatial Resolution Climate Surfaces for Global Land Areas.” International Journal of Climatology 37 (12): 4302–15.
Galili, Tal. 2021. Installr: Using r to Install Stuff on Windows OS (Such as: R, Rtools, RStudio, Git, and More!).
Harrower, Mark, and Cynthia A. Brewer. 2003. An Online Tool for Selecting Colour Schemes for Maps.” The Cartographic Journal 40: 27–37.
Hijmans, Robert J. 2022. Terra: Spatial Data Analysis.
Hijmans, Robert J., Steven Phillips, John Leathwick, and Jane Elith. 2022. Dismo: Species Distribution Modeling.
Kabacoff, Robert I. 2015. R in Action: Data Analysis and Graphics with r. Simon; Schuster.
Lovelace, Robin, Jakub Nowosad, and Jannes Muenchow. 2019. Geocomputation with r. CRC Press.
Miller, Jay D, and Andrea E Thode. 2007. “Quantifying Burn Severity in a Heterogeneous Landscape with a Relative Version of the Delta Normalized Burn Ratio (dNBR).” Remote Sensing of Environment 109 (1): 66–80.
Pebesma, Edzer. 2022. Sf: Simple Features for r.
Pebesma, Edzer, Thomas Mailund, Tomasz Kalinowski, and Iñaki Ucar. 2022. Units: Measurement Units for r Vectors.
Perpinan Lamigueiro, Oscar, and Robert Hijmans. 2022. rasterVis: Visualization Methods for Raster Data.
Radeloff, Volker C, Roger B Hammer, Susan I Stewart, Jeremy S Fried, Sherry S Holcomb, and Jason F McKeefry. 2005. “The Wildland–Urban Interface in the United States.” Ecological Applications 15 (3): 799–805.
Sing, T., O. Sander, N. Beerenwinkel, and T. Lengauer. 2005. ROCR: Visualizing Classifier Performance in R.” Bioinformatics 21 (20): 7881.
Spinu, Vitalie, Garrett Grolemund, and Hadley Wickham. 2021. Lubridate: Make Dealing with Dates a Little Easier.
Stachelek, Jemma. 2022. nhdR: Tools for Working with the National Hydrography Dataset.
Tennekes, Martijn. 2018. tmap: Thematic Maps in R.” Journal of Statistical Software 84 (6): 1–39.
Walker, Kyle. 2022. Tigris: Load Census TIGER/Line Shapefiles.
Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer.
———. 2021. Tidyverse: Easily Install and Load the Tidyverse.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2022. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics.
Wickham, Hadley, Romain François, Lionel Henry, and Kirill Müller. 2022. Dplyr: A Grammar of Data Manipulation.
Wickham, Hadley, and Maximilian Girlich. 2022. Tidyr: Tidy Messy Data.
Wickham, Hadley, and Garrett Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media, Inc.
Wilke, Claus O. 2020. Cowplot: Streamlined Plot Theme and Plot Annotations for Ggplot2.
Wimberly, Michael C., Mark A. Cochrane, Adam D. Baer, and Kari Pabst. 2009. “Assessing Fuel Treatment Effectiveness Using Satellite Imagery and Spatial Statistics.” Ecological Applications 19: 1377–84.
Wimberly, Michael C, Larry L Janssen, David A Hennessy, Moses Luri, Niaz M Chowdhury, and Hongli Feng. 2017. “Cropland Expansion and Grassland Loss in the Eastern Dakotas: New Insights from a Farm-Level Survey.” Land Use Policy 63: 160–73.
Wood, Simon. 2022. Mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation.