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LISA×Interpolasi Spasial Kriging×
BidangAnalisis SpasialAnalisis Spasial
KeluargaRegression modelRegression model
Tahun asal19951963
PencetusLuc AnselinGeorges Matheron (formalised geostatistics)
TipeLocal spatial autocorrelation statisticGeostatistical spatial interpolation
Sumber perintisAnselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Matheron, G. (1963). Principles of Geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗
Aliaslocal Moran's I, local spatial autocorrelation, LISA cluster analysis, LISA — Yerel Uzamsal Otokorelasyon (Local Moran's I)geostatistical interpolation, Gaussian process regression (geostatistics), ordinary kriging, Kriging (Mekânsal Enterpolasyon)
Terkait55
RingkasanLISA, introduced by Luc Anselin in 1995, is a local statistic that computes spatial autocorrelation separately for every observation rather than for the map as a whole. It pinpoints where high or low values cluster and where spatial outliers sit, decomposing the global Moran's I into a contribution from each location.Kriging is a geostatistical method that predicts the value of a continuous variable at unmeasured locations from nearby measurements, using the spatial correlation structure captured by a variogram. Formalised by Georges Matheron in 1963, it is the best linear unbiased predictor (BLUP) for spatial data and comes in Ordinary, Universal, and Co-Kriging forms.
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ScholarGateBandingkan metode: LISA · Kriging. Diakses 2026-06-17 dari https://scholargate.app/id/compare