Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ горячих точек Getis-Ord Gi*× | Локальный индекс пространственной автокорреляции (LISA)× | |
|---|---|---|
| Область | Пространственный анализ | Пространственный анализ |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1992 | 1995 |
| Автор метода≠ | Arthur Getis and J. Keith Ord | Luc Anselin |
| Тип≠ | Local spatial statistic | Local spatial autocorrelation statistic |
| Основополагающий источник≠ | Getis, 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 ↗ |
| Другие названия≠ | hot spot analysis, cold spot analysis, Gi* statistic, local Gi statistic | Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index |
| Связанные≠ | 4 | 6 |
| Сводка≠ | Getis-Ord Gi* is a local spatial statistic, introduced by Getis and Ord in 1992 and refined in 1995, that compares the value at each location and its neighbours against the global mean to identify statistically significant clusters of high values (hot spots) and low values (cold spots). | 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. |
| ScholarGateНабор данных ↗ |
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