About this document
Spatial Data Analysis with geoRglm by Gloria Acosta is a document available to read on EtoBox.
This document provides an introduction to using the R package geoRglm, which allows for inference in generalised linear spatial models. It describes how to load required packages and data, perform conditional simulation and spatial prediction with fixed covariance parameters using Markov chain Monte Carlo methods, and Bayesian analysis treating some model parameters as fixed or random. Examples are given using Poisson and binomial distributions to analyze example datasets included in the geoRglm package.
- Author
- Gloria Acosta
- Language
- EN