Deriving Space-Time Variograms from Space-Time Autoregressive (STAR) Model Specifications
نویسندگان
چکیده
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 1-order STAR models are solved numerically, and then linked to appropriate space-time semivariogram models.
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