Jelena383/geostatistical-analysis-air-pressure-serbia
Comparative GIS based geostatistical analysis of air pressure distribution in Serbia using interpolation methods and hotspot spatial statistics.
SUMMARY AI summary by gpt-5-mini
Repository for a comparative GIS-based geostatistical study of air pressure distribution across Serbia and neighboring countries. Intended for GIS analysts, climatologists, and environmental researchers, it demonstrates workflow and evaluation of multiple interpolation approaches using data from 60 meteorological stations (5 with invalid values excluded). Key features: generation and comparison of prediction surfaces using Kriging (ArcGIS Geostatistical Wizard), IDW, Spline, and Natural Neighbor; hotspot/spatial clustering analysis with GeoDa Local G* and ArcGIS Getis‑Ord Gi*; cartographic and raster outputs, maps, and methodological workflows. Useful as a reproducible framework for spatial prediction, climatological interpretation, and comparative modeling in GIS.
Why this is classified AI-related
The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology
Total AI relevance score: 75 / 100
Owner
Environmental monitoring specialist | GIS & Spatial Analytics | Spatial Environmental Intelligence
Dates
| Created on GitHub | 2026-05-11 |
| Last push | 2026-05-11 |
| First seen here | 2026-05-11 |
| Last fetched | 2026-08-19 16:14 |