Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Panel Geary's C telpiskā autokorelācija× | Lokālais Geary C× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1954 (base); 2000s (panel extension) | 1995 |
| Autors≠ | R. C. Geary (1954); panel extension in spatial econometrics literature | Luc Anselin |
| Tips≠ | Spatial autocorrelation statistic | Local spatial statistic |
| Pirmavots≠ | Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115-145. link ↗ | Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Citi nosaukumi | Geary's C for panel data, spatial Geary C panel, panel spatial contiguity ratio, panel Geary contiguity statistic | Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic |
| Saistītās≠ | 4 | 6 |
| Kopsavilkums≠ | Panel Geary's C extends the classic Geary contiguity ratio to panel datasets, measuring spatial autocorrelation across georeferenced units (regions, cities, countries) observed over multiple time periods. It detects whether neighboring units tend to have similar values, pooling or averaging evidence across the temporal dimension to yield more powerful inference than a single cross-section. | 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. |
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