Documento #1

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no se como lo hize pero se logro.

This analysis examines spatial autocorrelation patterns in synthetic raster data using the Getis-Ord Gi* statistic to identify hotspots and coldspots, and measures spatial inequality with the Gini index. It involves generating a synthetic raster (representing NDVI), visualizing it as an NDVI map, creating a shapefile, extracting raster values, computing spatial neighbors, calculating Gi* statistics, classifying hotspots, visualizing hotspots with a thematic map, and exporting outputs as shapefiles and rasters. The analysis highlights spatial clustering and inequality in a simulated dataset.