A Grammar-based Framework for Urban Visual Analytics
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Updated
Apr 24, 2026 - Jupyter Notebook
A Grammar-based Framework for Urban Visual Analytics
The Tombolo Digital Connector enables users to combine different sources of data in a transparent and reproducible way.
Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics
Delhi Development Authority recently released draft land use plan 2041 for Delhi and called for public comments. This repo has some of the geospatial layers that I was able to extract from the PDF map of the draft plan.
ANN RADAR is a decision support tool for identifying urban testbed locations
A modern, interactive 3D city dashboard for Toronto built with React, TypeScript, and Mapbox GL JS. Toronto Pulse visualizes real-time urban data including public transit, road conditions, bike share availability, and environmental metrics in an immersive 3D interface.
The repository is for processing open data of Seoul in a more user-friendly. In addition, I will upload jupyter notebook files which contain data visualization examples.
Open civic-tech observatory for tracking friction, disruptions, accessibility signals, and line-level reliability in Berlin public transport.
Overall data analysis and a linear regression model to predict monetary home value using a dataset compiled by the Cook County Assessor's Office.
🗺️ Analyse des flux de mobilité multimodaux en IDF — SIG, GeoPandas, Folium, cartes interactives pour décideurs publics
Exploratory data analysis and interactive visualization of urban tree health and spatial distribution using NYC OpenData.
A scroll-driven narrative of how Cambridge breathes across 24 hours, traced through PM2.5 sensor data.
A generative map that turns address history into a unique geometric trace.
Data analysis project in R which uncovered neighborhood trends related to vacant and abandoned homes in Baltimore, MD
Interactive map of Edmonton noise complaints.
Landuse interactive map for #30DayMapChallenge
Plateforme de données urbaines pour explorer et comparer le marché immobilier des arrondissements parisiens.
Full-stack urban intelligence project combining geospatial ML, dynamic forecasting, and an interactive map interface.
Altona-focused Hamburg district data analysis with Python, pandas, public data and Power BI preparation.
Code developed for NYU CUSP Capstone project on the prevelance of sidewalk sheds in New York City.
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