قارن الطرق

	الارتباط التلقائي المكاني الزماني-المكاني	مؤشر موران المحلي I (LISA)
المجال	التحليل المكاني	التحليل المكاني
العائلة	Regression model	Regression model
سنة النشأة	1981–1992	1995
صاحب الطريقة	Cliff & Ord; extended by Anselin and others	Luc Anselin
النوع	Spatial autocorrelation statistic	Local spatial autocorrelation statistic
المصدر التأسيسي	Clifford, P., Richardson, S., & Hemon, D. (1989). Assessing the significance of the correlation between two spatial processes. Biometrics, 45(1), 123–134.	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.
الأسماء البديلة	STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence	Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
ذات صلة	5	6
الملخص	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.	Local Moran's I, introduced by Luc Anselin in 1995, is a Local Indicator of Spatial Association (LISA) that decomposes global spatial autocorrelation into location-specific contributions. For every observation it produces a signed statistic and a significance value, enabling researchers to identify spatial clusters (high-high, low-low) and spatial outliers (high-low, low-high) on a map.