Hotspot Analysis v3
Plugin ID: 4436
Advanced detection of hotspots, coldspots, and spatial clusters. Implements Getis-Ord Gi, Local Moran’s I (Univariate), and Local Moran’s I (Bivariate) as native QGIS Processing algorithms for strategic analysis. QGIS 3.22/4.x and Model Designer compatible.
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Hotspot Analysis v3: Advanced Spatial Cluster Detection
Transform your geographic data into strategic intelligence. This plugin provides robust tools to detect statistically significant patterns, such as crime hotspots, economic clusters or environmental anomalies.
Available Methods:
- Getis-Ord Gi:* Detection of significant hotspots (high-value clusters) and coldspots (low-value clusters).
- Local Moran's I (Univariate): Identification of spatial clusters (HH/LL) and spatial outliers (HL/LH).
- Bivariate Local Moran's I: Analysis of spatial correlation between two different variables.
Why use v3 4.0.0?
Modernized by Abimael Cereda Junior, this version is not just a tool, but a scientific revision. It follows strict bibliographic standards (Anselin, Getis & Ord) to ensure that p-values and Z-scores are calculated correctly - fixing common issues with coldspot visibility and Gi* definitions found in other implementations.
Scientific & Didactic
All parameters are transparent. Whether for professional consulting or academic research, this plugin is designed for those who need results they can explain and justify. Please read the full documentation (README/GitHub) for a deep dive into the methodology and parameter rationale.
Requirements:
Uses libpysal and esda. Installation is usually automatic on QGIS 3.30+. For manual setup on Windows, use the OSGeo4W Shell: pip install libpysal esda.
