Spatial Regression for Canopy Cover Mich

Joe Pitti
Joe Pitti

April 12, 2023

Spatial Regression for Canopy Cover Mich

Chloropleth map of residuals from an OLS and spatial lag model describing percent canopy cover as a factor of median household income, census tract size, density of individuals who identify with a minority group, and density of households below the federal poverty level for Oakland and Wayne counties of Michigan. There is a clear spatial pattern in the residuals of the OLS model, violating the assumption of uncorrelated error terms. The spatial lag model accounts for spatial autocorrelation, therefore the error terms are more randomly distributed.

Tools used

R Studio

Plug-ins used



canopyspatial regression

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