Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Lokālais Geary C× | Lokālā Getis-Ord Gi* (Karsto punktu analīze)× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1995 | 1992–1995 |
| Autors≠ | Luc Anselin | Arthur Getis and J. Keith Ord |
| Tips≠ | Local spatial statistic | Local spatial association statistic |
| Pirmavots≠ | Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ |
| Citi nosaukumi | Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Saistītās≠ | 6 | 5 |
| Kopsavilkums≠ | Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity. | 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. |
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