Urban Heat Island (UHI) analysis combines satellite, climate, and urban data to model city-scale temperature anomalies. We assemble open data sources, geospatial Python libraries, and machine learning to predict UHI intensity.

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This is an analysis and prediction of how the Urban Heat Island Effect affects New Yorkers based on location data. This project will include a logistic regression analysis as well as using some Neural Networks for predictive analysis.