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Space-Time Spatial Autocorrelation

Space-Time Spatial Autocorrelation extends classic spatial autocorrelation measures — most notably Moran's I — to data that vary across both geographic units and time periods. It detects whether nearby locations that are also temporally close tend to share similar attribute values, revealing clusters, trends, or anomalies that purely spatial or purely temporal analyses would miss.

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Sources

  1. Clifford, P., Richardson, S., & Hemon, D. (1989). Assessing the significance of the correlation between two spatial processes. Biometrics, 45(1), 123–134. DOI: 10.2307/2532039 ↗
  2. Anselin, L., & Getis, A. (1992). Spatial statistical analysis and geographic information systems. The Annals of Regional Science, 26(1), 19–33. DOI: 10.1007/BF01581478 ↗

Related methods

Geographically Weighted RegressionGlobal Moran's ILocal Moran's ISpatial Lag ModelSpatial Panel Model

Referenced by

Space-Time Geary's CSpace-Time Getis-Ord Gi*Space-Time Kernel Density EstimationSpace-Time KrigingSpace-Time Local Indicators of Spatial AssociationSpace-Time Moran's ISpace-Time Ordinary KrigingSpace-Time Remote Sensing Classification

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ScholarGate — Space-Time Spatial Autocorrelation (Space-Time Spatial Autocorrelation Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/spatial-analysis/space-time-spatial-autocorrelation