השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| מדד C של גרי למדידת אוטוקורלציה מרחבית× | ניתוח נקודות חמות Getis-Ord Gi*× | |
|---|---|---|
| תחום | ניתוח מרחבי | ניתוח מרחבי |
| משפחה≠ | Hypothesis test | Regression model |
| שנת המקור≠ | 1954 | 1992 |
| הוגה השיטה≠ | Roy C. Geary | Arthur Getis and J. Keith Ord |
| סוג≠ | Global spatial autocorrelation statistic | Local spatial statistic |
| מקור מכונן≠ | Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–146. DOI ↗ | Getis, A. & Ord, J.K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ |
| כינויים≠ | Geary contiguity ratio, Geary's contiguity ratio, global spatial autocorrelation, Geary C mekânsal otokorelasyon | hot spot analysis, cold spot analysis, Gi* statistic, local Gi statistic |
| קשורות≠ | 2 | 4 |
| תקציר≠ | Geary's C is a global measure of spatial autocorrelation — whether nearby locations tend to have similar values — introduced by Roy Geary in 1954. Unlike Moran's I, which is built on the covariation of values around the mean, Geary's C is built on the squared differences between neighbouring values, making it more sensitive to local, short-range variation. Values below 1 indicate positive spatial autocorrelation (similar neighbours), near 1 indicate randomness, and above 1 indicate negative autocorrelation. | Getis-Ord Gi* is a local spatial statistic, introduced by Getis and Ord in 1992 and refined in 1995, that compares the value at each location and its neighbours against the global mean to identify statistically significant clusters of high values (hot spots) and low values (cold spots). |
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