השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| Local Moran's I (LISA)× | יחס הגבול של Geary (Geary's C)× | |
|---|---|---|
| תחום | ניתוח מרחבי | ניתוח מרחבי |
| משפחה | Regression model | Regression model |
| שנת המקור≠ | 1995 | 1954 |
| הוגה השיטה≠ | Luc Anselin | Roy C. Geary |
| סוג≠ | Local spatial autocorrelation statistic | Spatial autocorrelation statistic |
| מקור מכונן≠ | Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115–145. link ↗ |
| כינויים | Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index | Geary contiguity ratio, Geary C statistic, spatial contiguity ratio, Geary's c |
| קשורות≠ | 6 | 4 |
| תקציר≠ | Local Moran's I, introduced by Luc Anselin in 1995, is a Local Indicator of Spatial Association (LISA) that decomposes global spatial autocorrelation into location-specific contributions. For every observation it produces a signed statistic and a significance value, enabling researchers to identify spatial clusters (high-high, low-low) and spatial outliers (high-low, low-high) on a map. | 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. |
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