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User guides

Longer-form walkthroughs — the Python ports of the four rSDP vignettes, running against the real RMBL Spatial Data Platform.

  • Accessing cloud data — catalog discovery, open_raster / open_stack, time-series slicing, when to download locally. Foundational; start here.
  • Wrangling raster data — cropping, masking, reprojection, resampling, combining rasters, export. The bread-and-butter GIS operations in Python.
  • Field-site sampling — point extraction, buffered extraction, polygon summaries, categorical rasters, performance strategies.
  • Pretty maps — static matplotlib, interactive folium, faceted multi-panel figures, export.

Each guide is compact (1–2 screens) and mirrors the structure of its R counterpart. For the precise API surface, see the API reference; for an at-a-glance orientation, Getting started.