Everything but maps with spatial tools
summary
Focuses on using rasters as the primary data object rather than maps, with concrete examples and tools. Correlates time‑series microscopy rasters (calcium vs abscisic acid) cell‑by‑cell using the focal function to find plants that respond to compression. Extracts Fiji cell polygons into sf and computes per‑cell spatial autocorrelation indices. Matches thousands of crowd annotations from 1700m seafloor images by rasterizing and clustering to score per‑individual agreement. Converts rasters to millions of polygons for fast interactive display (via leafgl) and renders 3D surfaces with rayshader.
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chapters (8)
- 0:00Introduction to spatial tools
- 1:55Raster vs vector data
- 6:23Working with raster data
- 11:10Raster in marine science
- 15:33Waffle earth analogy
- 19:093D elevation with rayshader
- 21:23Beyond 3D elevation data
- 23:12Conclusion and resources
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