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Eduardo Lacerda | ef2eb40f95 | |
Eduardo Lacerda | 9a8a41bd27 | |
Eduardo Lacerda | c62e98de2a | |
Eduardo Lacerda | d638b8a9e7 | |
Eduardo Lacerda | aed590ec99 | |
Eduardo Lacerda | 46e3f18758 | |
Eduardo Lacerda | 5686e20b15 |
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README.md
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README.md
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@ -62,6 +62,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
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- [Cheat sheets](#cheat-sheets)
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- [Data Sources](#data-sources)
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- [Resources](#resources)
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- [Free and Open Source Books](#free-and-open-source-books)
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- [Podcasts](#podcasts)
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- [Conferences](#conferences)
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- [References](#references-and-other-awesome-lists)
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@ -1432,7 +1433,28 @@ for geospatial and tabular data.
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* [Spatialreference.org](http://spatialreference.org/) - Source for coordinate system information.
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* [TileJSON.io](http://tilejson.io/) - tilejson.io is a simple viewer for raster tile sets (Enter tile URL, layer properties, share).
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## Free and Open Source Books
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* [An Introduction to Spatial Data Analysis and Statistics: A Course in R](https://paezha.github.io/spatial-analysis-r/)
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* [Cloud-Based Remote Sensing with Google Earth Engine](https://www.eefabook.org/)
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* [Elegant and informative maps with tmap](https://r-tmap.github.io/tmap-book/)
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* [Geocomputation with Python](https://py.geocompx.org/)
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* [Geocomputation with R](https://r.geocompx.org/)
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* [Geographic Data Science with Python](https://geographicdata.science/book/intro.html)
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* [Geographic Data Science with R: Visualizing and Analyzing Environmental Change](https://bookdown.org/mcwimberly/gdswr-book/)
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* [Geospatial Analysis](https://www.spatialanalysisonline.com/)
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* [Geospatial Data Science with Julia](https://juliaearth.github.io/geospatial-data-science-with-julia/)
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* [Google Earth Engine Applications](https://www.mdpi.com/books/reprint/1262-google-earth-engine-applications)
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* [Intro to GIS and Spatial Analysis](https://mgimond.github.io/Spatial/index.html)
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* [Introduction to Spatial Data Programming with R](https://geobgu.xyz/r/)
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* [R for Geographic Data Science](https://sdesabbata.github.io/r-for-geographic-data-science/index.html)
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* [SAR Handbook - Comprehensive Methodologies for Forest Monitoring and Biomass Estimation](https://servirglobal.net/resources/sar-handbook)
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* [Spatial Data Science With Applications in R](https://r-spatial.org/book/)
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* [Spatial Microsimulation with R](https://spatial-microsim-book.robinlovelace.net/)
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* [Spatial Modelling for Data Scientists](https://gdsl-ul.github.io/san/)
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* [Spatial Statistics for Data Science: Theory and Practice with R](https://www.paulamoraga.com/book-spatial/index.html)
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* [sits: Satellite Image Time Series Analysis on Earth Observation Data Cubes](https://e-sensing.github.io/sitsbook/)
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* [The Language of Spatial Analisys](https://www.esri.com/content/dam/esrisites/sitecore-archive/Files/Pdfs/library/books/the-language-of-spatial-analysis.pdf)
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## Conferences
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