Space-Time Local Indicators of Spatial Association
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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. · DOI 10.1111/j.1538-4632.1995.tb00338.x
- 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
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