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| Moranov I za prostor i vreme× | Локални индикатори просторне асоцијације (LISA)× | |
|---|---|---|
| Oblast | Prostorna analiza | Prostorna analiza |
| Porodica | Regression model | Regression model |
| Godina nastanka≠ | 1981 | 1995 |
| Tvorac≠ | Cliff & Ord (extended to space-time domain) | Luc Anselin |
| Tip≠ | Spatial autocorrelation statistic | Local spatial statistic |
| Temeljni izvor≠ | 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 ↗ |
| Drugi nazivi | 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 |
| Srodne≠ | 5 | 6 |
| Sažetak≠ | 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. |
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