|
Activity Number:
|
406
- Spatio-Temporal Methods in Ecology and Epidemiology
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 1, 2017 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Section on Statistics and the Environment
|
|
Abstract #323850
|
View Presentation
|
|
Title:
|
Spatio-Temporal Process Models for Spatial Correlation
|
|
Author(s):
|
Ephraim M Hanks*
|
|
Companies:
|
The Pennsylvania State University
|
|
Keywords:
|
Spatial statistics ;
Ecology ;
Diffusion ;
Autoregressive model
|
|
Abstract:
|
We present an approach for modeling areal spatial covariance in observed genetic allele data by considering the stationary (limiting) distribution of a spatio-temporal Markov random walk model for gene flow. This stationary distribution corresponds to an intrinsic simultaneous autoregressive (SAR) model for spatial correlation, and provides a principled approach to specifying areal spatial models when a spatio-temporal generating process can be assumed. We apply the approach to a study of spatial genetic variation of trout in a stream network in Connecticut, USA.
|
Authors who are presenting talks have a * after their name.
