Author: Douglas Harvey Wrenn (II)Publisher:
ISBN:
Category :
Languages : en
Pages : 103
Book Description
In our last essay, we develop a nonparametric estimation technique for spatial panel data. Using a Monte Carlo experiment, we show how extending current geographically weighted regression (GWR) models to account for temporal heterogeneity provides a better fit to the data when coefficient heterogeneity exists in both the spatial and temporal dimensions. We also show how the technique can be used in modeling real-world land use change by applying the proposed technique to a panel dataset of historical subdivision development.