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

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 l~(st)-order STAR models are solved numerically, and then linked to appropriate space-time semivariogram models.