השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| יחס הגבול של Geary (Geary's C)× | מדד C המקומי של גרי (Local Geary's C)× | |
|---|---|---|
| תחום | ניתוח מרחבי | ניתוח מרחבי |
| משפחה | Regression model | Regression model |
| שנת המקור≠ | 1954 | 1995 |
| הוגה השיטה≠ | Roy C. Geary | 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 contiguity ratio, Geary C statistic, spatial contiguity ratio, Geary's c | Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic |
| קשורות≠ | 4 | 6 |
| תקציר≠ | 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. | 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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