방법 비교

	시공간 공간 자기상관분석	전체 연구 지역의 공간적 자기상관을 측정하는 전역 모란 I
분야	공간분석	공간분석
계열	Regression model	Regression model
기원 연도	1981–1992	1950
창시자	Cliff & Ord; extended by Anselin and others	Patrick Alfred Pierce Moran
유형	Spatial autocorrelation statistic	Global spatial autocorrelation test / index
원전	Clifford, P., Richardson, S., & Hemon, D. (1989). Assessing the significance of the correlation between two spatial processes. Biometrics, 45(1), 123–134.	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
별칭	STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence	Moran's I, global spatial autocorrelation index, Moran index, GMI
관련	5	6
요약	Space-Time Spatial Autocorrelation extends classic spatial autocorrelation measures — most notably Moran's I — to data that vary across both geographic units and time periods. It detects whether nearby locations that are also temporally close tend to share similar attribute values, revealing clusters, trends, or anomalies that purely spatial or purely temporal analyses would miss.	Global Moran's I is the most widely used single-number summary of spatial autocorrelation across an entire study area. It compares the attribute value at each location with values at neighbouring locations using a spatial weights matrix, and returns a statistic ranging from −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering). A significance test determines whether the observed pattern is stronger than random chance.