landuse_Change_Prediction

A R script that runs Boosted Regression Trees(BRT) on epochs of land use datasets with random points to model land use changes and predict and determine the main drivers of change

This script Outputs a csv of extracted values from the rasters

Uses Brt to run gbm functions to extract ROC and Dev parameters using 25k points

Computes relative influence of each brt iteration epoch

plots pdp plots

Revised May 2018

Created by David Kanyari

All rights reserved