Generalized Shifted-Factor Analysis Method for Multivariate Geo-Referenced Data
Source: Mathematical Geology, Volume 33, Number 7, October 2001 , pp. 801-824(24)
Abstract:Multivariate data with spatial dependencies arise in many areas of application, including geology, precision agriculture, and ecology. For analysis of such data, a methodology based on a generalized shifted-factor model is developed. The model incorporates potential lagged dependencies between factors and observed variables, representing asymmetric spatial dependencies observed in practice. Identification and estimation issues are discussed. A prediction procedure that exploits both the multivariate and spatial dependence in the data is proposed and illustrated.
Document Type: Regular Paper
Affiliations: 1: Department of Statistical Science, Southern Methodist University, Dallas, Texas 75275-0332; email@example.com 2: Department of Statistics, Iowa State University, Ames, Iowa 50011-1210
Publication date: October 2001