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Space-Time Local Indicators of Spatial Association (ST-LISA)

Space-Time Local Indicators of Spatial Association (ST-LISA) extend the classic LISA framework of Anselin (1995) into the temporal dimension, identifying locations that exhibit statistically significant spatial clustering or spatial outlier behavior consistently or intermittently across multiple time periods. They decompose global space-time autocorrelation into local contributions, revealing where and when spatial clusters emerge, persist, or dissolve.

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Sources

  1. Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI: 10.1111/j.1538-4632.1995.tb00338.x ↗
  2. Cheng, T., Haworth, J., & Wang, J. (2012). Spatio-temporal autocorrelation of road network data. Journal of Geographical Systems, 14(4), 389–413. DOI: 10.1007/s10109-011-0149-5 ↗

Related methods

Hot Spot AnalysisLocal Getis-Ord Gi*Local Indicators of Spatial AssociationLocal Moran's ISpace-Time Moran's ISpace-Time Spatial Autocorrelation

Referenced by

Panel Local Indicators of Spatial AssociationSpace-Time Geary's CSpace-Time Getis-Ord Gi*Space-Time Hot Spot AnalysisSpace-Time Kernel Density Estimation

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ScholarGate — Space-Time Local Indicators of Spatial Association (Space-Time Local Indicators of Spatial Association). Retrieved 2026-06-04 from https://scholargate.app/en/spatial-analysis/space-time-local-indicators-of-spatial-association