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Jelena383/geostatistical-analysis-air-pressure-serbia

Comparative GIS based geostatistical analysis of air pressure distribution in Serbia using interpolation methods and hotspot spatial statistics.

GitHub ↗
★ 0
stars
75
AI relevance
50
solo dev
0
tool sigs

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

Repository name no match
Description +25 matched: AI
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README head +20 (derived from the score — README text is not stored)

Total AI relevance score: 75 / 100

Owner

Account
Jelena383
Type
User
Followers
2

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