Spatial multinomial regression models for nominal categorical data: a study of land cover in Northern Wisconsin, USA
From MaRDI portal
Publication:6069056
DOI10.1002/env.2189zbMath1525.62148WikidataQ64461510 ScholiaQ64461510MaRDI QIDQ6069056
Unnamed Author, Unnamed Author, Ronald E. Gangnon, Michelle M. Steen-Adams, Stephan R. Sain
Publication date: 15 December 2023
Published in: Environmetrics (Search for Journal in Brave)
spatial statisticsBayesian hierarchical modellandscape ecologygeographic information systemsenvironmental historymultivariate car model
Related Items
Small area estimation of proportions with constraint for National Resources Inventory survey, On estimation and selection of autologistic regression models via penalized pseudolikelihood
Cites Work
- Unnamed Item
- A spatial model for multivariate lattice data
- Multi-dimensional multivariate Gaussian Markov random fields with application to image processing
- Bayesian prediction of clipped Gaussian random fields.
- A clipped latent variable model for spatially correlated ordered categorical data
- Generalized Hierarchical Multivariate CAR Models for Areal Data
- Model-Based Geostatistics
- Bayesian Measures of Model Complexity and Fit
- Mapping Ancient Forests: Bayesian Inference for Spatio-Temporal Trends in Forest Composition Using the Fossil Pollen Proxy Record
- Generalized common spatial factor model
- Generalized Linear Latent Variable Models for Repeated Measures of Spatially Correlated Multivariate Data