Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Lokālā Getis-Ord Gi* (Karsto punktu analīze)× | Geary C× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1992–1995 | 1954 |
| Autors≠ | Arthur Getis and J. Keith Ord | Roy C. Geary |
| Tips≠ | Local spatial association statistic | Spatial autocorrelation statistic |
| Pirmavots≠ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ | Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115–145. link ↗ |
| Citi nosaukumi | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic | Geary contiguity ratio, Geary C statistic, spatial contiguity ratio, Geary's c |
| Saistītās≠ | 5 | 4 |
| Kopsavilkums≠ | 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. | Geary's C is a global spatial autocorrelation statistic that measures whether nearby areal units share similar attribute values. Unlike Moran's I, it focuses on squared differences between adjacent pairs rather than cross-products of deviations from the mean, making it more sensitive to local dissimilarity and less influenced by global trends. |
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