A python package for generating, analyzing and visualizing building shadows

A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️

COUP: Cockpit for Collaborative Urban Planning

Siamese U-Net for bi-temporal urban change detection from satellite imagery with Streamlit dashboard

[COMMUNITY] — Spatial Join & Enrich any urban layer given any external urban dataset of interest, streamline your urban analysis with Scikit-Learn-Like pipelines, and share your insights with the urban research community!

Predictive analysis of urban development using Overpass Turbo API and machine learning to identify sustainable city patterns and health-risk zones

Use UrbanMapper in an LLM Model Context Protocol (MCP) setting!

A pipeline to segment high-resolution point clouds representing urban environments into geometric primitives; we focus on planes, cylinders and spheres, which are the main features of buildings (walls, roofs, arches, ...) and ground surfaces (streets, pavements, platforms), and identify the unique parameters of each instance.

Buses de Auvasa en Valladolid y situación en tiempo real de alertas y posición de vehiculo

Urban sampling and extraction of Google Street View imagery using Selenium and OpenCV for panorama generation and geospatial analysis.

Urban Land Use / Land Cover classification using Sentinel-2 imagery and Random Forest (Python + QGIS)

AirbnbNewYorkCityAnalysis is a comprehensive data analysis and visualization project exploring short-term Airbnb rental trends across New York City (2008–2022). Using open source Airbnb data, the project combines data cleaning, statistical summaries, and Tableau dashboards to uncover pricing patterns, borough level distribution, and insights.

Analysis of the 2018 opening of the Antioch BART station's potential effects on nearby housing cost pressures