Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Globaalne kuumade täppide analüüs (Getis-Ord G statistika)× | Kuuma ala analüüs (Getis-Ord Gi*)× | |
|---|---|---|
| Valdkond | Ruumianalüüs | Ruumianalüüs |
| Perekond | Regression model | Regression model |
| Tekkeaasta | 1992 | 1992 |
| Looja | Arthur Getis and J. Keith Ord | Arthur Getis and J. Keith Ord |
| Tüüp≠ | Global spatial concentration test | Local spatial statistic |
| Algallikas | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗ |
| Rööpnimetused | Global G statistic, Getis-Ord G, global spatial clustering test, global concentration statistic | Getis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSA |
| Seotud | 5 | 5 |
| Kokkuvõte≠ | Global Hot Spot Analysis uses the Getis-Ord G statistic to determine whether high or low attribute values are spatially concentrated across an entire study area. It answers one question: is there overall clustering of high values (a hot spot tendency) or low values (a cold spot tendency) in the dataset as a whole, producing a single summary test for the full region. | Hot Spot Analysis uses the Getis-Ord Gi* local spatial statistic to identify geographic locations where high or low attribute values cluster together to a degree that is statistically significant. Each feature is evaluated in relation to its neighbours, producing a z-score that flags genuine spatial hot spots and cold spots against a background of random variation. |
| ScholarGateAndmestik ↗ |
|
|