JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 410
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #304821
Title: Spatial-Temporal Generalized Linear Models with Bark Beetle and Other Damage Causing Agents in the Rocky Mountains Example
Author(s): Kimberly Kaufeld*+ and Trent L Lalonde
Companies: University of Northern Colorado and University of Northern Colorado
Address: 5213 W 11th Street, Greeley, CO, 80634, United States
Keywords: Generalized Linear Model ; Spatial-Temporal Model ; Multinomial ; Bark Beetles
Abstract:

Zhu et al (2008) developed a binary spatial-temporal autologistic regression model which accounts for spatial and temporal dependence at discrete time points. It uses logistic regression to model a response variable on explanatory variables and autoregression on responses from spatial neighborhoods. This research extends the work of Zhu et al's autologistic binary model to generalized linear models such as nominal multinomial models and models for ordinal response data where the spatial grid changes at each time point. The data are measured repeatedly based on spatial distances over discrete time points. A spatial neighborhood structure is constructed and ordered with respect to the adjacency of the initial site. A spatial-temporal autologistic regression model draws samples using Monte Carlo estimation using a Gibbs Sampler to obtain estimates of the model parameters. A dataset of bark beetle and multiple damage causing agents in the Rocky Mountain Forest Region from 2005-2009 is used to demonstrate the methodology.


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 2012 program




2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

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