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تحلیل نقاط داغ (Getis-Ord Gi*)×شاخص موران محلی (LISA)×
حوزهتحلیل فضاییتحلیل فضایی
خانوادهRegression modelRegression model
سال پیدایش19921995
پدیدآورArthur Getis and J. Keith OrdLuc Anselin
نوعLocal spatial statisticLocal spatial autocorrelation statistic
منبع بنیادینGetis, 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 ↗
نام‌های دیگرGetis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSALocal Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
مرتبط56
خلاصهHot 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.Local Moran's I, introduced by Luc Anselin in 1995, is a Local Indicator of Spatial Association (LISA) that decomposes global spatial autocorrelation into location-specific contributions. For every observation it produces a signed statistic and a significance value, enabling researchers to identify spatial clusters (high-high, low-low) and spatial outliers (high-low, low-high) on a map.
ScholarGateمجموعه‌داده
  1. v1
  2. 2 منابع
  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Hot Spot Analysis · Local Moran's I. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare