References

Baddeley, Adrian, Rolf Turner, and Ege Rubak. 2022. Spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests. http://spatstat.org/.
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. http://pbreheny.github.io/visreg.
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. https://CRAN.R-project.org/package=CropScapeR.
Cheng, Joe, Bhaskar Karambelkar, and Yihui Xie. 2022. Leaflet: Create Interactive Web Maps with the JavaScript Leaflet Library. https://rstudio.github.io/leaflet/.
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. https://CRAN.R-project.org/package=ggspatial.
Edmund, Hart, and Kendon Bell. 2020. Prism: Access Data from the Oregon State Prism Climate Project. https://CRAN.R-project.org/package=prism.
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!). https://CRAN.R-project.org/package=installr.
Harrower, Mark, and Cynthia A. Brewer. 2003. ColorBrewer.org: An Online Tool for Selecting Colour Schemes for Maps.” The Cartographic Journal 40: 27–37.
Hijmans, Robert J. 2022. Terra: Spatial Data Analysis. https://rspatial.org/terra/.
Hijmans, Robert J., Steven Phillips, John Leathwick, and Jane Elith. 2022. Dismo: Species Distribution Modeling. https://rspatial.org/raster/sdm/.
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. https://CRAN.R-project.org/package=sf.
Pebesma, Edzer, Thomas Mailund, Tomasz Kalinowski, and Iñaki Ucar. 2022. Units: Measurement Units for r Vectors. https://github.com/r-quantities/units/.
Perpinan Lamigueiro, Oscar, and Robert Hijmans. 2022. rasterVis: Visualization Methods for Raster Data. https://oscarperpinan.github.io/rastervis/.
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. http://rocr.bioinf.mpi-sb.mpg.de.
Spinu, Vitalie, Garrett Grolemund, and Hadley Wickham. 2021. Lubridate: Make Dealing with Dates a Little Easier. https://CRAN.R-project.org/package=lubridate.
Stachelek, Jemma. 2022. nhdR: Tools for Working with the National Hydrography Dataset. https://github.com/jsta/nhdR.
Tennekes, Martijn. 2018. tmap: Thematic Maps in R.” Journal of Statistical Software 84 (6): 1–39. https://doi.org/10.18637/jss.v084.i06.
Walker, Kyle. 2022. Tigris: Load Census TIGER/Line Shapefiles. https://github.com/walkerke/tigris.
Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer.
———. 2021. Tidyverse: Easily Install and Load the Tidyverse. https://CRAN.R-project.org/package=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. https://CRAN.R-project.org/package=ggplot2.
Wickham, Hadley, Romain François, Lionel Henry, and Kirill Müller. 2022. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.
Wickham, Hadley, and Maximilian Girlich. 2022. Tidyr: Tidy Messy Data. https://CRAN.R-project.org/package=tidyr.
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. https://wilkelab.org/cowplot/.
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. https://CRAN.R-project.org/package=mgcv.