Transformation-based generalized spatial regression using the spmoran package: Case study examples
Applications
2021-09-15 v1 Methodology
Abstract
This study presents application examples of generalized spatial regression modeling for count data and continuous non-Gaussian data using the spmoran package (version 0.2.2 onward). Section 2 introduces the model. The subsequent sections demonstrate applications of the model for disease mapping, spatial prediction and uncertainty modeling, and hedonic analysis. The R codes used in this vignette are available from https://github.com/dmuraka/spmoran. Another vignette focusing on Gaussian spatial regression modeling is also available from the same GitHub page.
Cite
@article{arxiv.2109.06383,
title = {Transformation-based generalized spatial regression using the spmoran package: Case study examples},
author = {Daisuke Murakami},
journal= {arXiv preprint arXiv:2109.06383},
year = {2021}
}