References

Appelhans, Tim, Florian Detsch, Christoph Reudenbach, and Stefan Woellauer. 2022. Mapview: Interactive Viewing of Spatial Data in r. https://github.com/r-spatial/mapview.

Baddeley, Adrian, Ege Rubak, and Rolf Turner. 2015. Spatial Point Patterns: Methodology and Applications with r. CRC press.

Baddeley, Adrian, Rolf Turner, and Ege Rubak. 2022. Spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests. http://spatstat.org/.

Bivand, Roger. 2022. Spdep: Spatial Dependence: Weighting Schemes, Statistics.

Bivand, Roger, and Gianfranco Piras. 2022. Spatialreg: Spatial Regression Analysis. https://CRAN.R-project.org/package=spatialreg.

Dunnington, Dewey, Edzer Pebesma, and Ege Rubak. 2023. S2: Spherical Geometry Operators Using the S2 Geometry Library. https://CRAN.R-project.org/package=s2.

Hyndman, Rob, and G. Athanasopoulos. 2021. Forecasting: Principles and Practice. 3rd ed. Australia: OTexts.

Lovelace, Robin, Jakub Nowosad, and Jannes Muenchow. 2024. Geocomputation with r. Online. https://doi.org/10.1201/9780203730058.

Pebesma, Edzer. 2018. “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal 10 (1): 439–46. https://doi.org/10.32614/RJ-2018-009.

———. 2022a. Sf: Simple Features for r. https://CRAN.R-project.org/package=sf.

———. 2022b. Stars: Spatiotemporal Arrays, Raster and Vector Data Cubes. https://CRAN.R-project.org/package=stars.

———. 2023. Lwgeom: Bindings to Selected Liblwgeom Functions for Simple Features. https://github.com/r-spatial/lwgeom/.

Pebesma, Edzer J. 2004. “Multivariable Geostatistics in S: The Gstat Package.” Computers & Geosciences 30 (7): 683–91. https://doi.org/10.1016/j.cageo.2004.03.012.

Pebesma, Edzer, and Roger Bivand. 2023. Spatial Data Science: With Applications in r. CRC Press.

Pebesma, Edzer, and Benedikt Graeler. 2022. Gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation. https://github.com/r-spatial/gstat/.

Tennekes, Martijn. 2018. “tmap: Thematic Maps in R.” Journal of Statistical Software 84 (6): 1–39. https://doi.org/10.18637/jss.v084.i06.

———. 2022. Tmap: Thematic Maps. https://github.com/r-tmap/tmap.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. R for Data Science. " O’Reilly Media, Inc.".

Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown. Chapman; Hall/CRC. https://doi.org/10.1201/9781138359444.