| title: Spatial Cluster Analyzer | |
| emoji: 📈 | |
| colorFrom: green | |
| colorTo: indigo | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| # Spatial Pattern & Cluster Analyzer | |
| An interactive computational tool designed for spatial social science, sociology, public health, and criminology to analyze spatial clustering, calculate Global Moran's I, and identify spatial hotspots (Getis-Ord Gi*). | |
| ### Features | |
| 1. **Global Moran's I**: Computes Global Moran's I to test whether values are clustered, dispersed, or random, accompanied by analytical Z-scores and two-tailed p-values. | |
| 2. **Getis-Ord Gi\* Hot Spot Mapping**: Calculates localized spatial clustering to identify significant High-High hotspots and Low-Low coldspots. | |
| 3. **Interactive Leaflet Maps**: Visualizes hotspots in a responsive, beautifully styled CartoDB Dark Matter map containing coordinates and z-scores. | |
| 4. **Pedagogical Report**: Automatically translates statistical math into jargon-free, educational sociological descriptions for students. | |