השוואת שיטות
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| מדד Geary's C למתאמיות מרחבית בלוחות נתונים× | מדד C המקומי של גרי (Local Geary's C)× | |
|---|---|---|
| תחום | ניתוח מרחבי | ניתוח מרחבי |
| משפחה | Regression model | Regression model |
| שנת המקור≠ | 1954 (base); 2000s (panel extension) | 1995 |
| הוגה השיטה≠ | R. C. Geary (1954); panel extension in spatial econometrics literature | Luc Anselin |
| סוג≠ | Spatial autocorrelation statistic | Local spatial statistic |
| מקור מכונן≠ | 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 ↗ |
| כינויים | 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 |
| קשורות≠ | 4 | 6 |
| תקציר≠ | 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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