방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| Global Getis-Ord Gi* 통계량× | 전체 연구 지역의 공간적 자기상관을 측정하는 전역 모란 I× | |
|---|---|---|
| 분야 | 공간분석 | 공간분석 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1992 | 1950 |
| 창시자≠ | Arthur Getis and J. Keith Ord | Patrick Alfred Pierce Moran |
| 유형≠ | Global spatial clustering statistic | Global spatial autocorrelation test / index |
| 원전≠ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ |
| 별칭 | Global G statistic, Getis-Ord General G, General G*, Global spatial clustering statistic | Moran's I, global spatial autocorrelation index, Moran index, GMI |
| 관련≠ | 5 | 6 |
| 요약≠ | The Global Getis-Ord Gi* statistic measures the overall degree of spatial clustering of high or low values across an entire study region. It answers whether the study area, taken as a whole, exhibits significant concentration of high values (hot clustering) or low values (cold clustering), returning a single summary Z-score for the entire dataset. | Global Moran's I is the most widely used single-number summary of spatial autocorrelation across an entire study area. It compares the attribute value at each location with values at neighbouring locations using a spatial weights matrix, and returns a statistic ranging from −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering). A significance test determines whether the observed pattern is stronger than random chance. |
| ScholarGate데이터셋 ↗ |
|
|