Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Локальный индекс пространственной автокорреляции (LISA)× | Локальный анализ Getis-Ord Gi* (анализ горячих точек)× | |
|---|---|---|
| Область | Пространственный анализ | Пространственный анализ |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1995 | 1992–1995 |
| Автор метода≠ | Luc Anselin | Arthur Getis and J. Keith Ord |
| Тип≠ | Local spatial autocorrelation statistic | Local spatial association statistic |
| Основополагающий источник≠ | Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ |
| Другие названия | Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Связанные≠ | 6 | 5 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
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