This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 161
Type: Topic Contributed
Date/Time: Monday, August 2, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and the Environment
Abstract - #308100
Title: Spatial Multinomial Regression Models for the Analysis of Land Cover Data
Author(s): Jun Zhu*+ and Chongyang Jin and Stephan Sain and Michelle M. Steen-Adams
Companies: Colorado State University and University of Wisconsin-Madison and National Center for Atmospheric Research and University of New England
Address: Department of Statistics, Fort Collins, CO, 80523,
Keywords: Bayesian hierarchical model ; categorical data ; dimension reduction ; geographic information systems ; multivariate CAR model ; spatial statistics

Land cover data in environmental and ecological studies are becoming increasingly abundant at the advances of geographic information systems, but statistical methods for analyzing such that data are limited. Here we aim at developing practical tools for regression analysis of spatially-referenced, multi-categorical data. We propose a spatial multinomial model in a generalized linear mixed model framework with a latent spatial random effect. The spatial random effect is multivariate at each spatial location and modeled by a multivariate conditional autoregressive model. Under a Bayesian hierarchical modeling framework, we devise Markov chain Monte Carlo algorithms to obtain posterior for statistical inference. The methodology is applied to analyze a land cover data set in northern Wisconsin.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2010 program

2010 JSM Online Program Home

For information, contact or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.