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Spatial ML Benchmark

Explore how spatial validation changes machine learning results.

TypeScriptNode.jsMapLibre

This project compares a majority baseline and a Random Forest using random and spatial evaluation. It includes reproducible runs and an offline map to inspect predictions and errors.

The demo uses a small extract of LUCAS Spain 2022: 32 points, two regions and elevation as the only predictor. You can switch evaluation methods and models, inspect metrics and select individual samples.

It is a learning and demonstration project. The sample does not support conclusions about national land-cover accuracy or statistical significance.