ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Analisis Titik Panas Multiskala Getis-Ord Gi*×Statistik Local Getis-Ord Gi* (Analisis Bintik Panas)×
BidangAnalisis ReruangAnalisis Reruang
KeluargaRegression modelRegression model
Tahun asal1995 (Gi* basis); multiscale application 2000s onward1992–1995
PengasasOrd & Getis (1995); multiscale extension developed in applied spatial analysis practiceArthur Getis and J. Keith Ord
JenisLocal spatial statistic (multiscale)Local spatial association statistic
Sumber perintisOrd, J. K., & Getis, A. (1995). Local spatial autocorrelation statistics: Distributional issues and an application. Geographical Analysis, 27(4), 286-306. DOI ↗Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗
Aliasmulti-distance Gi*, multiscale hot spot analysis, multi-bandwidth Getis-Ord, scale-varying Gi*Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic
Berkaitan55
RingkasanMultiscale Getis-Ord Gi* extends the classic local hot spot statistic by computing Gi* z-scores across a range of spatial distance bands or neighborhood sizes. This reveals whether clusters of high or low values are scale-dependent — appearing only at fine local scales, only at broad regional scales, or persistently across all scales — providing richer spatial intelligence than a single-bandwidth analysis.The Local Getis-Ord Gi* statistic identifies statistically significant spatial clusters of high values (hot spots) and low values (cold spots) within a study area. Unlike global measures, it produces a z-score for every location, revealing where concentrated clustering occurs and with what statistical confidence.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: Multiscale Getis-Ord Gi* · Local Getis-Ord Gi*. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare