Metodebevisregistrering
Robust Local Indicators of Spatial Association
Robust Local Indicators of Spatial Association extend Anselin's LISA framework to handle outliers, extreme values, and spatially heterogeneous populations. By applying outlier-resistant adjustments to the spatial weights or the standardised values, Robust LISA identifies statistically significant local clusters and spatial outliers without the distortions caused by highly influential observations.
Kilderegistrering
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Robust Local Indicators of Spatial Association
Taksonomisk metoderegistrering · regression-model / spatial-analysis
- Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. · DOI 10.1111/j.1538-4632.1995.tb00338.x
- Assuncao, R. M., & Reis, E. A. (1999). A new proposal to adjust Moran's I for population density. Statistics in Medicine, 18(16), 2147–2162. · DOI 10.1002/(SICI)1097-0258(19990830)18:16<2147::AID-SIM179>3.0.CO;2-I
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