Bayesian spatial prediction of the site index in the study of the Missouri Ozark Forest Ecosystem Project

This paper presents a Bayesian spatial method for analysing the site index data from the Missouri Ozark Forest Ecosystem Project (MOFEP). Based on ecological background and availability, we select three variables, the aspect class, the soil depth and the land type association as covariates for analysis. To allow great flexibility of the smoothness of the random field, we choose the Mat

• Type: Journal
• Year: 2008
• Where: CSDA
• Authors: Xiaoqian Sun, Zhuoqiong He, John Kabrick
• Keywords: Aspect Class, CSDA 2008, Land Type Association, Missouri Ozark Forest Ecosystem Project