Сравнение методов

	Пространственно-временной коэффициент Гири (Space-Time Geary's C)	Пространственно-временная пространственная автокорреляция
Область	Пространственный анализ	Пространственный анализ
Семейство	Regression model	Regression model
Год появления	1954 / 2010s	1981–1992
Автор метода	Geary (1954); extended to space-time by Anselin and others	Cliff & Ord; extended by Anselin and others
Тип	Spatial autocorrelation statistic	Spatial autocorrelation statistic
Основополагающий источник	Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115-145.	Clifford, P., Richardson, S., & Hemon, D. (1989). Assessing the significance of the correlation between two spatial processes. Biometrics, 45(1), 123–134.
Другие названия	ST-Geary's C, spatiotemporal Geary C, space-time contiguity ratio, space-time local spatial autocorrelation	STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence
Связанные	6	5
Сводка	Space-Time Geary's C extends the classical Geary contiguity ratio to panel or longitudinal spatial data, measuring autocorrelation across both geographic neighbors and adjacent time periods simultaneously. Values below 1 indicate positive space-time clustering; values above 1 indicate dispersion, and a value near 1 suggests random arrangement across the space-time lattice.	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.