Сравнение методов

	Робастные локальные показатели пространственной ассоциации (Robust LISA)	Локальный коэффициент Geary's C
Область	Пространственный анализ	Пространственный анализ
Семейство	Regression model	Regression model
Год появления	1995–2000s	1995
Автор метода	Anselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians	Luc Anselin
Тип	Local spatial autocorrelation statistic (robust variant)	Local spatial statistic
Основополагающий источник	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.
Другие названия	Robust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weights	Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic
Связанные	6	6
Сводка	Robust Local Indicators of Spatial Association extend Anselin's LISA framework to handle outliers, extreme values, and spatially heterogeneous populations. By applying outlier-resistant adjustments to the spatial weights or the standardised values, Robust LISA identifies statistically significant local clusters and spatial outliers without the distortions caused by highly influential observations.	Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity.