data and code used to create visualization and downstream caluclations (e.g., residuals, quantiles, differences) for 
	https://doi.org/10.1016/j.jag.2021.102353
	Modeling tree canopy height using machine learning over mixed vegetation landscapes

data file: Rsd_RF_GRF.csv
	field header key
		id: raster cell ID
		rsd_RF: residual from random forest model estimate
		rsd_GRF: residual from geographically weighted random forest model estimate
		true_height: actual canopy cover height, as measured by LiDAR

code file: residual_viz.R
	This script takes the differences in actual and estimated canopy height from Wang et al., and then visualizes the differences, calculates residuals, and quantiles.