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This project gives an overview of crime time analysis in New York City . We have created Python Jupyter notebooks for spatial analysis of different crime types in the city using Pandas, Numpy, Plotly and Leaflet packages. As a second part to this analysis, we worked on ARIMA model on R for predicting the crime counts across various localities in…
This is a notebook used to compare differents data sources with the aims to feed a discuss about how to produce a coherent Landcover layer focused on the vineyard on the french metropolitan territory.