USC urban data science course series in Python

The Geospatial Neighborhood Analysis Package

A standalone version of Urban Pulse

Mapping Bike station location in relation to poor housing conditions and 2015 median household income of census tracts in Pittsburgh, PA

Data releases for the Urban Prairies project

Urban Informatics paper: Understanding internal migration in the UK before and during the COVID-19 pandemic using Twitter data

Data from the "Streets Not Thru" Project

Jupyter notebooks for the workshop *Introduction to Python language and Google Colab for spatial data visualization and analysis*

Zone In: A web map application for users to interactively explore and investigate the distribution of land use zonings in Hong Kong

Exploring UrbanAccess to determine walkability/transit accessibility in San Francisco and Waterloo

Four peer LLM agents coordinating urban traffic incidents over a message bus - quantitative results computed by deterministic skills, never invented by the model.

Pinpoint the exact location of any photo using AI that analyzes visual clues like signs, architecture, and language for precise geolocation.

An AI-assisted mobile application for time-use and budget logging, designed to support participatory data collection and research in smart communities.

Data-driven exploration of short term rental activity in Cape Town to map neighborhoods facing potential housing affordability pressures, with visualizations and spatial analysis. The project utilises GeoPandas, EDA, and modeling.

Scripts that I have used for my Honours Thesis

homework repository for PUI2017