Problem Framing and Reproducible Spatial Setup

Formulate an ecological mapping problem by specifying the response, predictors, prediction support, geographic extent, and target population.

Create a reproducible Python environment and configuration file for a spatial machine-learning project.

Load vector and raster datasets in Python and verify their coordinate reference systems, grids, extents, and NoData definitions.

Create a provenance manifest that records each input dataset's source, version or acquisition date, license, coordinate system, resolution, and NoData conventions.