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# References {.unnumbered}
Where to start: https://rspatial.org/
Overview by Cran on Spatials: https://cran.r-project.org/web/views/Spatial.html
A list of packages: https://github.com/cran-task-views/Spatial/blob/main/Spatial.md
Carpenteries: https://datacarpentry.org/lessons/#geospatial-curriculum
Books to start:
- [Geocomputation with R](https://geocompr.robinlovelace.net/index.html)
- [Applied Spatial Data Analysis with R](https://link.springer.com/book/10.1007/978-1-4614-7618-4)
Other references:
- [Spatial Data Science](https://keen-swartz-3146c4.netlify.app/)
- [Introduction to Spatial Data Programming with R](http://132.72.155.230:3838/r/index.html)
usethis: - [An Introduction to R for Spatial Analysis and Mapping](https://www.spatialanalysisonline.com/An%20Introduction%20to%20Spatial%20Data%20Analysis%20in%20R.pdf) - [Consumer Data Research Center](https://data.cdrc.ac.uk/dataset/introduction-spatial-data-analysis-and-visualisation-r)
Extra:
- [A free introduction to geo](https://mapschool.io/)
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