So sánh phương pháp

	Hàm K của Ripley	Phân tích điểm nóng Getis-Ord Gi*
Lĩnh vực	Phân tích không gian	Phân tích không gian
Họ	Hypothesis test	Regression model
Năm ra đời	1977	1992
Người khởi xướng	Brian Ripley	Arthur Getis and J. Keith Ord
Loại	Spatial point pattern test	Local spatial statistic
Công trình gốc	Ripley, B. D. (1977). Modelling spatial patterns. Journal of the Royal Statistical Society: Series B, 39(2), 172–212.	Getis, A. & Ord, J.K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189–206.
Tên gọi khác	Ripley's K Function, Second-Order Intensity Function, K(d) Function, Ripley K Fonksiyonu	hot spot analysis, cold spot analysis, Gi* statistic, local Gi statistic
Liên quan	2	4
Tóm tắt	The Ripley K function, introduced by Brian Ripley in 1977, is a second-order summary statistic for spatial point patterns. It measures how the number of points within a given distance d of a typical point compares to what would be expected under complete spatial randomness (CSR). Widely used in ecology, epidemiology, criminology, and geography, the K function reveals whether events cluster, disperse, or distribute randomly across a study area at multiple spatial scales simultaneously.	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).