Tools for spatial analysis in R and Python
- R: Using tweenr to transition animations between cartogram and chloropleth maps
- R: Great circles with sf and sp
- R: Hillshade with spherical environment mapping
- R: Hillshade using raytracing in R
- Python: GIS with Shapely and Fiona
- Python: Manage spatial data using Geopandas and Shapely in Python
- Python: Monitoring dam water levels using Sentinel 2 and Openstreetmap
- JavaScript: Sentinel colour correction with JavaScript
- Docker: Using Docker to become a more effective data scientist
- Python: Image processing utilities including hillshade, slope, aspect
- R: Using Rayshader to map urban shadows using LiDAR data
- Terrain Sculptor software for generalising DEMs to keep only important features
- Python: Whitebox GIS tools as a Python package
- QGIS/GRASS: v.clean.advanced and rmdangle (t 0.04) for removing dangling lines
- QGIS and SAGA: Generating realistic hillshades with topographic openness
- QGIS: Enhancing terrain cartography with natural shadows