References
Baddeley, Adrian, Ege Rubak, and Rolf Turner. 2015. Spatial Point Patterns: Methodology and Applications with r. CRC press.
Banerjee, Sudipto, Bradley P Carlin, and Alan E Gelfand. 2014. Hierarchical Modeling and Analysis for Spatial Data. CRC press.
Bivand, Roger S., Edzer Pebesma, and Virgilio Gomez-Rubio. 2013. Applied Spatial Data Analysis with R, Second Edition. Springer, NY. https://asdar-book.org/.
Brunsdon, Chris, and Lex Comber. 2015. An Introduction to r for Spatial Analysis and Mapping. Sage.
Diggle, Peter, and Paulo Justiniano Ribeiro. 2007. Model-Based Geostatistics. Springer.
Dorman, Michael. 2014. Learning r for Geospatial Analysis. Packt Publishing Ltd.
Hengl, Tomislav. 2009. “A Practical Guide to Geostatistical Mapping.”
Hengl, Tomislav, and Robert A MacMillan. 2019. Predictive Soil Mapping with r. Lulu. com.
Lamigueiro, Óscar Perpiñán. 2014. Displaying Time Series, Spatial, and Space-Time Data with r. CRC Press.
Lovelace, Robin, Jakub Nowosad, and Jannes Muenchow. 2019. Geocomputation with r. CRC Press.
Murrell, Paul. 2009. Introduction to Data Technologies. CRC Press.
Plant, Richard E. 2018. Spatial Data Analysis in Ecology and Agriculture Using r. CRC Press.
Wickham, Hadley et al. 2011. “The Split-Apply-Combine Strategy for Data Analysis.” Journal of Statistical Software 40 (1): 1–29.
Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer. https://ggplot2-book.org/.