🌎 Spatial Data Analysis Tools
🟥🟨 Tiled Geospatial Data for Brazil
Notebook for water body monitoring with SAM3 and GMM & Decision Tree. No PostGIS required. Runs locally and on Colab.
This repository represents my personal portfolio.
Cloud-native Python & Google Earth Engine (GEE) dMRV engine for blue carbon projects. Automates land masking, 11-year canopy additionality tracking, and hydrology modeling aligned with India's Carbon Credit Trading Scheme (CCTS) guidelines for mangrove restoration.
Personal place-based cartography connecting Aoraki / Mount Cook, the Ganga River, and Delhi with reproducible Python geospatial tools.
Multiscale GWR insurance risk pricing model for LA County. Full spatial regression progression: OLS -> Spatial Error -> GWR -> MGWR, with per-variable bandwidth analysis, significance-masked coefficient maps, LISA clustering, and an interactive Folium dashboard. FEMA, Census ACS, NIFC & OSM data.
Field-based spatial data science with GPS trajectories, temperature interpolation, and multispectral drone imagery from the Cass field trip.
Vector spatial analysis of vape-store proximity to Christchurch schools using CRS validation, buffers, spatial joins, and nearest distances.
Interpretable raster suitability modelling for potential ski-field locations in New Zealand's South Island using elevation, slope, roads, and zonal statistics.
Add a description, image, and links to the geospatial-data-science topic page so that developers can more easily learn about it.
To associate your repository with the geospatial-data-science topic, visit your repo's landing page and select "manage topics."