השוואת שיטות
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| מדדי התאגדות מרחבית מקומית של זמן-מרחב (ST-LISA)× | מדד מורן למרחב-זמן× | |
|---|---|---|
| תחום | ניתוח מרחבי | ניתוח מרחבי |
| משפחה | Regression model | Regression model |
| שנת המקור≠ | 1995 (LISA); space-time extensions developed 2000s–2010s | 1981 |
| הוגה השיטה≠ | Extension of Anselin (1995) LISA framework to the space-time domain | Cliff & Ord (extended to space-time domain) |
| סוג≠ | Local spatial statistic (space-time) | Spatial autocorrelation statistic |
| מקור מכונן≠ | Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Cliff, A. D., & Ord, J. K. (1981). Spatial Processes: Models and Applications. Pion. ISBN: 978-0850860818 |
| כינויים | ST-LISA, space-time LISA, spatiotemporal local indicators of spatial association, STLISA | space-time autocorrelation index, ST Moran's I, spatiotemporal Moran's I, space-time I statistic |
| קשורות≠ | 6 | 5 |
| תקציר≠ | Space-Time Local Indicators of Spatial Association (ST-LISA) extend the classic LISA framework of Anselin (1995) into the temporal dimension, identifying locations that exhibit statistically significant spatial clustering or spatial outlier behavior consistently or intermittently across multiple time periods. They decompose global space-time autocorrelation into local contributions, revealing where and when spatial clusters emerge, persist, or dissolve. | 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. |
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