Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Jopo la Kimahesabu cha Geary C cha Uhusiano wa Kimaeneo× | Kiashirio cha Mfumo wa Geary wa Eneo (Local Geary's C)× | |
|---|---|---|
| Nyanja | Uchanganuzi wa Kimaeneo | Uchanganuzi wa Kimaeneo |
| Familia | Regression model | Regression model |
| Mwaka wa asili≠ | 1954 (base); 2000s (panel extension) | 1995 |
| Mwanzilishi≠ | R. C. Geary (1954); panel extension in spatial econometrics literature | Luc Anselin |
| Aina≠ | Spatial autocorrelation statistic | Local spatial statistic |
| Chanzo asilia≠ | 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 ↗ |
| Majina mbadala | 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 |
| Zinazohusiana≠ | 4 | 6 |
| Muhtasari≠ | 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. |
| ScholarGateSeti ya data ↗ |
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