| title: Spatial Interpolation Modeler | |
| emoji: 🔆 | |
| colorFrom: yellow | |
| colorTo: green | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| # Spatial Interpolation & Geodemographic Modeler | |
| An interactive computational tool designed for spatial demographics, public opinion modeling, environmental exposure, and digital humanities to estimate un-sampled points and cluster tracts. | |
| ### Features | |
| 1. **Inverse Distance Weighting (IDW)**: Dynamically estimates and predicts values (e.g. air quality, household income) at un-sampled target coordinates. | |
| 2. **Dense Bounding Bounding Surface Grid**: Auto-compiles a dense 15x15 coordinate interpolation matrix to display a smooth, color-graded Leaflet map. | |
| 3. **K-Means Geodemographic Segments**: Performs multivariate clustering using census indicators (such as poverty, unemployment, and rent) to group tracts. | |
| 4. **Interactive Leaflet Maps**: Displays sampled markers and dense estimated grids in beautiful spectral visual gradients to show spatial patterns. | |