landuse

a national land use regulatory index

This repository reproduces a workflow to predict land use with a combination of satellite imagery, administrative data, street topology. The imagery used in the model comes from Google Earth Engine, and this script produces the files.

• help.R constains a function to create spatially lagged variables
• extract.R allows us to convert raster imagery into tabular data
• osmnx.ipynb constructs variables from the street network
• left.R blends it all together to produce the left side of the regression
• lag.R runs a lasso for feature selection and random forest for prediction