ScholarGate
Asisten

Bandingkan metode

Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.

Analisis Titik Panas (Getis-Ord Gi*)×Indikator Lokal Asosiasi Spasial (LISA)×
BidangAnalisis SpasialAnalisis Spasial
KeluargaRegression modelRegression model
Tahun asal19921995
PencetusArthur Getis and J. Keith OrdLuc Anselin
TipeLocal spatial statisticLocal spatial statistic
Sumber perintisGetis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
AliasGetis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSALISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Terkait56
RingkasanHot Spot Analysis uses the Getis-Ord Gi* local spatial statistic to identify geographic locations where high or low attribute values cluster together to a degree that is statistically significant. Each feature is evaluated in relation to its neighbours, producing a z-score that flags genuine spatial hot spots and cold spots against a background of random variation.LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Ke halaman pencarian Unduh salindia

ScholarGateBandingkan metode: Hot Spot Analysis · Local Indicators of Spatial Association. Diakses 2026-06-20 dari https://scholargate.app/id/compare