Módszerek összehasonlítása
Tekintse át a kiválasztott módszereket egymás mellett; az eltérő sorok kiemelve jelennek meg.
| Multiscale Getis-Ord Gi* forrófolt-elemzés× | Lokális Getis-Ord Gi* (Hot Spot Elemzés)× | |
|---|---|---|
| Tudományterület | Térbeli elemzés | Térbeli elemzés |
| Módszercsalád | Regression model | Regression model |
| Keletkezés éve≠ | 1995 (Gi* basis); multiscale application 2000s onward | 1992–1995 |
| Megalkotó≠ | Ord & Getis (1995); multiscale extension developed in applied spatial analysis practice | Arthur Getis and J. Keith Ord |
| Típus≠ | Local spatial statistic (multiscale) | Local spatial association statistic |
| Alapmű≠ | Ord, J. K., & Getis, A. (1995). Local spatial autocorrelation statistics: Distributional issues and an application. Geographical Analysis, 27(4), 286-306. DOI ↗ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ |
| Alternatív nevek | multi-distance Gi*, multiscale hot spot analysis, multi-bandwidth Getis-Ord, scale-varying Gi* | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Kapcsolódó | 5 | 5 |
| Összefoglaló≠ | Multiscale Getis-Ord Gi* extends the classic local hot spot statistic by computing Gi* z-scores across a range of spatial distance bands or neighborhood sizes. This reveals whether clusters of high or low values are scale-dependent — appearing only at fine local scales, only at broad regional scales, or persistently across all scales — providing richer spatial intelligence than a single-bandwidth analysis. | The Local Getis-Ord Gi* statistic identifies statistically significant spatial clusters of high values (hot spots) and low values (cold spots) within a study area. Unlike global measures, it produces a z-score for every location, revealing where concentrated clustering occurs and with what statistical confidence. |
| ScholarGateAdatkészlet ↗ |
|
|