Deriving space-time variograms from space-time autoregressive (STAR) model specifications

被引：0

作者：

Griffith, Daniel A. ^{[1
]}

Heuvelink, Gerard B. M. ^{[2
]}

机构：

[1] Univ Texas Dallas, Richardson, TX 75083 USA

[2] Univ Wageningen & Res Ctr, NL-6700 HB Wageningen, Netherlands

来源：

JOINT INTERNATIONAL CONFERENCE ON THEORY, DATA HANDLING AND MODELLING IN GEOSPATIAL INFORMATION SCIENCE | 2010年 / 38卷

关键词：

additive semi-variogram; autoregressive model; multiplicative semi-variogram; space; space-time; STAR; time; COVARIANCE;

D O I：

暂无

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

Many geospatial science subdisciplines analyze variables that vary over both space and time. The space-time autoregressive (STAR) model is one specification formulated to describe such data. This paper summarizes STAR specifications that parallel geostatistical model specifications commonly used to describe space-time variation, with the goal of establishing synergies between these two modeling approaches. Resulting expressions for space-time correlograms derived from 1st-order STAR models are solved numerically, and then linked to appropriate space-time semivariogram models.

引用

页码：15 / 20

页数：6

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