Read here about the motivations for using Apache Arrow in geospatial and how it can make geospatial computing faster for everybody.
R
- This posts demonstates how to create realistic 3D topographic maps using R and satellite imagery as an overlay map.
- The 'Zoom to selected features' is a familiar functionality for ArcGIS and QGIS users. This post guides you through the steps required to build such a button in R Shiny using DT and leaflet packages.
- If you are interested in data analysis, data visualization, and modeling of geographic data in R, you should check out this free book by Robin Lovelace et al.
- This is an applied example of NDVI calculation from the red and NIR bands from a Landsat 8 image.
- Visit the spatial CRAN Task View. It summarizes a lot of information about packages for working with geospatial data in R.
- Check out this tutorial on mapping rivers in R using Global River Classification dataset.
- Treetop simplifies extracting forest information for forest ecologists and conservationists who may use the tool to visualize tree positions and sizes, conduct complex analyses and download results.
- This blog post demonstrates some simple workflows for high-performance geospatial work in R, leaning on the data.table, sf and geos packages.