Geocomputation with R
summary
Practical overview of geocomputation with R emphasizing reproducible tools and real impact: uses the SF package for vector work, raster (and emerging stars) for rasters, and interactive maps with leaflet and tmap deployed via Shiny. Describes the Propensity to Cycle Tool powering a £230m network plan and a route network of about 4 million routes across the UK, explains osmdata, mapdeck and geopolymer (Plumber API for spatial data), and recommends installing SF and raster to get started.
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chapters (9)
- 0:00Introduction and background
- 4:41Defining geocomputation
- 8:05Practical applications
- 10:57Philosophy of the field
- 14:21Evolution of spatial tools
- 20:02Historical live demo
- 24:33The power of the SF package
- 28:37Visualization and deployment
- 35:33Future and conclusion
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