A spatial model for multivariate lattice data
A spatial model for multivariate lattice data
复制标题
多元晶格数据的空间模型
DOI：
10.1016/j.jeconom.2006.09.010
复制
发表时间：
2007
影响因子：
6.3
通讯作者：
N. Cressie
中科院分区：
文献类型：
--
作者：
S. Sain;N. Cressie
本文建立了多元点阵数据的马尔可夫随机场模型。特别注意建立包含不同地点变量之间的空间相关性和交叉相关性的一般形式的模型。将该方法应用于一个环境公平问题。使用形式多样的贝叶斯分层模型，我们检查了路易斯安那州南部居民的种族分布与美国环境保护局有毒物质排放清单所列地点的位置之间的关系。
In this article, we develop Markov random field models for multivariate lattice data. Specific attention is given to building models that incorporate general forms of the spatial correlations and cross-correlations between variables at different sites. The methodology is applied to a problem in environmental equity. Using a Bayesian hierarchical model that is multivariate in form, we examine the racial distribution of residents of southern Louisiana in relation to the location of sites listed with the U.S. Environmental Protection Agency's Toxic Release Inventory.