Sammenlign metoder
Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.
| Global Getis-Ord Gi* Statistik× | Lokale indikatorer for rumlig association (LISA)× | |
|---|---|---|
| Fagområde | Rumlig analyse | Rumlig analyse |
| Familie | Regression model | Regression model |
| Oprindelsesår≠ | 1992 | 1995 |
| Ophavsperson≠ | Arthur Getis and J. Keith Ord | Luc Anselin |
| Type≠ | Global spatial clustering statistic | Local spatial statistic |
| Oprindelig kilde≠ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Aliasser | Global G statistic, Getis-Ord General G, General G*, Global spatial clustering statistic | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| Relaterede≠ | 5 | 6 |
| Resumé≠ | The Global Getis-Ord Gi* statistic measures the overall degree of spatial clustering of high or low values across an entire study region. It answers whether the study area, taken as a whole, exhibits significant concentration of high values (hot clustering) or low values (cold clustering), returning a single summary Z-score for the entire dataset. | 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. |
| ScholarGateDatasæt ↗ |
|
|