Bibliografia
Allaire, JJ, Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, et al. 2023. Rmarkdown: Dynamic Documents for r. https://github.com/rstudio/rmarkdown.
Appelhans, Tim, Florian Detsch, Christoph Reudenbach, and Stefan Woellauer. 2023. Mapview: Interactive Viewing of Spatial Data in r. https://github.com/r-spatial/mapview.
Biecek, Przemyslaw. 2014. Przewodnik Po Pakiecie R. Oficyna Wydawnicza GIS.
Bivand, Roger S, Edzer J Pebesma, and Virgilio Gomez-Rubio. 2014. Applied Spatial Data Analysis with r. Springer.
Cressie, Noel. 1992. “Statistics for Spatial Data.” Terra Nova 4 (5): 613–17.
Czernecki, Bartosz. 2018. Metody Przetwarzania Danych Meteorologicznych w języku Programowania R.
Frick, Hannah, Fanny Chow, Max Kuhn, Michael Mahoney, Julia Silge, and Hadley Wickham. 2023. Rsample: General Resampling Infrastructure. https://rsample.tidymodels.org.
Gagolewski, Marek. 2016. Programowanie w Jezyku R. Wydawnictwo Naukowe PWN.
Gillespie, Colin, and Robin Lovelace. 2016. Efficient R Programming: A Practical Guide to Smarter Programming. " O’Reilly Media, Inc.".
Giraudoux, Patrick. 2023. Pgirmess: Spatial Analysis and Data Mining for Field Ecologists. https://giraudoux.pagesperso-orange.fr.
Goovaerts, Pierre et al. 1997. Geostatistics for Natural Resources Evaluation. Oxford University Press on Demand.
Hengl, Tomislav. 2009. A Practical Guide to Geostatistical Mapping. Hengl Amsterdam.
Hijmans, Robert J., Steven Phillips, John Leathwick, and Jane Elith. 2023. Dismo: Species Distribution Modeling. https://rspatial.org/raster/sdm/.
Isaaks, Edward H, and Mohan R Srivastava. 1989. Applied Geostatistics.
Lovelace, R, J Nowosad, and J Muenchow. 2019. Geocomputation with R. Chapman and Hall/CRC Press.
Nowosad, Jakub. 2020. Elementarz Programisty: Wstęp Do Programowania Używając R. Poznan: Space A.
———. 2023a. Geostatbook: Geostatystyka w r. https://bookdown.org/nowosad/geostatystyka/.
———. 2023b. Rcartocolor: CARTOColors Palettes. https://github.com/Nowosad/rcartocolor.
Nychka, Douglas, Reinhard Furrer, John Paige, Stephan Sain, Florian Gerber, and Matthew Iverson. 2023. Fields: Tools for Spatial Data. https://github.com/dnychka/fieldsRPackage.
Pebesma, Edzer. 2023a. Sf: Simple Features for r. https://r-spatial.github.io/sf/.
———. 2023b. Stars: Spatiotemporal Arrays, Raster and Vector Data Cubes. https://r-spatial.github.io/stars/.
Pebesma, Edzer J. 2001. “Gstat User’s Manual.” Dept. Of Physical Geography, Utrecht University, Utrecht, The Netherlands.
Pebesma, Edzer J, and Roger S Bivand. 2019. Spatial Data Science.
Pebesma, Edzer, and Benedikt Graeler. 2023. Gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation. https://github.com/r-spatial/gstat/.
R Core Team. 2023. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Rossiter, DG. 2016. “An Introduction to Geostatistics with R/gstat.”
Stach, Alfred. 2009. “Praktyczny Poradnik–Jak Szybko Zrozumieć i Wykorzystać Geostatystykę w Pracy Badawczej.”
Tennekes, Martijn, and Jakub Nowosad. 2022. Elegant and Informative Maps with Tmap.
Webster, Richard, and Margaret A Oliver. 2007. Geostatistics for Environmental Scientists. John Wiley & Sons.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2023. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://ggplot2.tidyverse.org.
Wickham, Hadley, and Garrett Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. " O’Reilly Media, Inc.".
Xie, Yihui. 2023a. Bookdown: Authoring Books and Technical Documents with r Markdown. https://github.com/rstudio/bookdown.
———. 2023b. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.