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@ -62,6 +62,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
- [Cheat sheets](#cheat-sheets)
- [Data Sources](#data-sources)
- [Resources](#resources)
- [Free and Open Source Books](#free-and-open-source-books)
- [Podcasts](#podcasts)
- [Conferences](#conferences)
- [References](#references-and-other-awesome-lists)
@ -1432,7 +1433,28 @@ for geospatial and tabular data.
* [Spatialreference.org](http://spatialreference.org/) - Source for coordinate system information.
* [TileJSON.io](http://tilejson.io/) - tilejson.io is a simple viewer for raster tile sets (Enter tile URL, layer properties, share).
## Free and Open Source Books
* [An Introduction to Spatial Data Analysis and Statistics: A Course in R](https://paezha.github.io/spatial-analysis-r/)
* [Cloud-Based Remote Sensing with Google Earth Engine](https://www.eefabook.org/)
* [Elegant and informative maps with tmap](https://r-tmap.github.io/tmap-book/)
* [Geocomputation with Python](https://py.geocompx.org/)
* [Geocomputation with R](https://r.geocompx.org/)
* [Geographic Data Science with Python](https://geographicdata.science/book/intro.html)
* [Geographic Data Science with R: Visualizing and Analyzing Environmental Change](https://bookdown.org/mcwimberly/gdswr-book/)
* [Geospatial Analysis](https://www.spatialanalysisonline.com/)
* [Geospatial Data Science with Julia](https://juliaearth.github.io/geospatial-data-science-with-julia/)
* [Google Earth Engine Applications](https://www.mdpi.com/books/reprint/1262-google-earth-engine-applications)
* [Intro to GIS and Spatial Analysis](https://mgimond.github.io/Spatial/index.html)
* [Introduction to Spatial Data Programming with R](https://geobgu.xyz/r/)
* [R for Geographic Data Science](https://sdesabbata.github.io/r-for-geographic-data-science/index.html)
* [SAR Handbook - Comprehensive Methodologies for Forest Monitoring and Biomass Estimation](https://servirglobal.net/resources/sar-handbook)
* [Spatial Data Science With Applications in R](https://r-spatial.org/book/)
* [Spatial Microsimulation with R](https://spatial-microsim-book.robinlovelace.net/)
* [Spatial Modelling for Data Scientists](https://gdsl-ul.github.io/san/)
* [Spatial Statistics for Data Science: Theory and Practice with R](https://www.paulamoraga.com/book-spatial/index.html)
* [sits: Satellite Image Time Series Analysis on Earth Observation Data Cubes](https://e-sensing.github.io/sitsbook/)
* [The Language of Spatial Analisys](https://www.esri.com/content/dam/esrisites/sitecore-archive/Files/Pdfs/library/books/the-language-of-spatial-analysis.pdf)
## Conferences