قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| مؤشر مورَان للمكان والزمان× | المؤشرات المحلية للارتباط المكاني (LISA)× | |
|---|---|---|
| المجال | التحليل المكاني | التحليل المكاني |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 1981 | 1995 |
| صاحب الطريقة≠ | Cliff & Ord (extended to space-time domain) | Luc Anselin |
| النوع≠ | Spatial autocorrelation statistic | Local spatial statistic |
| المصدر التأسيسي≠ | Cliff, A. D., & Ord, J. K. (1981). Spatial Processes: Models and Applications. Pion. ISBN: 978-0850860818 | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| الأسماء البديلة | space-time autocorrelation index, ST Moran's I, spatiotemporal Moran's I, space-time I statistic | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| ذات صلة≠ | 5 | 6 |
| الملخص≠ | Space-Time Moran's I extends the classic Moran's I statistic into the spatiotemporal domain, measuring whether observations that are close in both space and time tend to be more similar than those that are distant. It detects clustering, dispersion, or randomness across a combined space-time weight matrix, making it a foundational tool in epidemiology, criminology, and environmental monitoring. | LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence. |
| ScholarGateمجموعة البيانات ↗ |
|
|