So sánh phương pháp

	Thống kê Robust Getis-Ord Gi*	Chỉ báo Liên kết Không gian Cục bộ Mạnh mẽ (Robust LISA)
Lĩnh vực	Phân tích không gian	Phân tích không gian
Họ	Regression model	Regression model
Năm ra đời	1992 (base); robust variants circa 2000s–2010s	1995–2000s
Người khởi xướng	Getis & Ord (base statistic); robust extensions developed in subsequent spatial statistics literature	Anselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians
Loại	Local spatial statistic	Local spatial autocorrelation statistic (robust variant)
Công trình gốc	Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206.	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.
Tên gọi khác	Robust Gi*, Robust local Gi star, outlier-resistant hot spot analysis, robust local spatial autocorrelation Gi*	Robust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weights
Liên quan	5	6
Tóm tắt	The Robust Getis-Ord Gi* statistic extends the classical Gi* hot-spot measure to handle outliers in spatial data. By using robust estimators of the mean and variance — such as trimmed means, medians, or down-weighted influential observations — it identifies statistically significant spatial clusters of high or low values even when the attribute distribution contains extreme values that would distort the standard Gi*.	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.