Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Prostorově-časové lokální indikátory prostorové asociace (ST-LISA)× | Lokální Moranovo I (LISA)× | |
|---|---|---|
| Obor | Prostorová analýza | Prostorová analýza |
| Rodina | Regression model | Regression model |
| Rok vzniku≠ | 1995 (LISA); space-time extensions developed 2000s–2010s | 1995 |
| Tvůrce≠ | Extension of Anselin (1995) LISA framework to the space-time domain | Luc Anselin |
| Typ≠ | Local spatial statistic (space-time) | Local spatial autocorrelation statistic |
| Původní zdroj≠ | Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Další názvy | ST-LISA, space-time LISA, spatiotemporal local indicators of spatial association, STLISA | Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index |
| Příbuzné | 6 | 6 |
| Shrnutí≠ | 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. | 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. |
| ScholarGateDatová sada ↗ |
|
|