INACITY C# implementation
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Updated
Jun 18, 2018 - C#
INACITY C# implementation
Code developed for NYU CUSP Capstone project on the prevelance of sidewalk sheds in New York City.
Visualizing projected city growth with UN data
Geospatial Analysis project of St. Louis 2018
Term projects for EAS503 course
Spatial autocorrelation analysis to identify hotspots for nightlife activity using various datasets
Auto-regression analysis to model long-term electrical usage patterns
Projects completed in the Urban Informatics masters degree program at Northeastern University - All projects completed in R
Predict traffic collisions in Calgary using Keras and Tensorflow.js. Visualization with React and Mapbox.
Implementation of various machine learning models applied to urban data
Graph State Prediction Network
The Tombolo Digital Connector enables users to combine different sources of data in a transparent and reproducible way.
Visualization and analysis of various air quality and related health data for New York City
Utilizing open data to fuel urban digital transformation
The repository contains diverse economic and socio-demographic data or Rome retrieved through APIs and scraping.
A Machine Learning Based Parser for Indian Addresses
Urban data integration framework for mobility analysis
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