STUDY OF SPATIAL RELATIONSHIPS BETWEEN 2 SETS OF VARIABLES USING MULTIVARIATE GEOSTATISTICS
STUDY OF SPATIAL RELATIONSHIPS BETWEEN 2 SETS OF VARIABLES USING MULTIVARIATE GEOSTATISTICS
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DOI：
10.1016/0016-7061(94)90030-2
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发表时间：
1994-03-15
期刊：
影响因子：
6.1
通讯作者：
GOOVAERTS, P
中科院分区：
文献类型：
--
作者：
GOOVAERTS, P
本文提出了一种基于多元地质统计学和冗余分析的研究两组变量之间空间非对称关系的方法。该方法涉及 将协区域化的线性模型拟合到所有实验变异函数，分析描述不同空间尺度上变量之间关系的协区域化矩阵，并对预测变量的线性组合进行协克里金处理，这些预测变量解释了给定空间尺度下因变量集中的大部分方差。该程序说明了土壤和植被变量之间的关系的分析。由于考虑到变量的区域化性质，地质统计方法可以区分当地关系和由于不同土壤类型的存在而产生的区域关系。
This paper describes a method based on multivariate geostatistics and redundancy analysis for studying spatial asymmetric relationships between two sets of variables. The method involves fitting a linear model of coregionalization to all experimental variograms, analyzing coregionalization matrices which describe relationships between variables at different spatial scales, and cokriging linear combinations of the predictor variables that account for most of the variance in the set of dependent variables for a given spatial scale. The procedure is illustrated with an analysis of relationships between soil and vegetation variables. Because it takes into account the regionalized nature of the variables, the geostatistical approach allows to distinguish between local relationships and regional relationships due to the presence of different soil types.