文章基本信息

标题：Joint Species Distribution Modeling: Dimension Reduction Using Dirichlet Processes
本地全文：下载
作者：Daniel Taylor-Rodríguez ; Kimberly Kaufeld ; Erin M. Schliep 等
期刊名称：Bayesian Analysis
印刷版ISSN：1931-6690
电子版ISSN：1936-0975
出版年度：2017
卷号：12
期号：4
页码：939-967
DOI：10.1214/16-BA1031
语种：English
出版社：International Society for Bayesian Analysis
摘要：Species distribution models are used to evaluate the variables that affect the distribution and abundance of species and to predict biodiversity. Historically, such models have been fitted to each species independently. While independent models can provide useful information regarding distribution and abundance, they ignore the fact that, after accounting for environmental covariates, residual interspecies dependence persists. With stacking of individual models, misleading behaviors, may arise. In particular, individual models often imply too many species per location.