Objective Description
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.
馃幆 The detailed methodology and results can be accessed through this link:
馃憠click here now! : https://rpubs.com/abdibasidadan/spatialautocorrelation
Abdi-Basid ADAN, 2025
 |
| The Abdi-Basid Courses Institute |
