방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 패널 기어리 C 공간 자기상관× | 지역 기어 C (Local Geary's C)× | |
|---|---|---|
| 분야 | 공간분석 | 공간분석 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1954 (base); 2000s (panel extension) | 1995 |
| 창시자≠ | R. C. Geary (1954); panel extension in spatial econometrics literature | Luc Anselin |
| 유형≠ | Spatial autocorrelation statistic | Local spatial statistic |
| 원전≠ | 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 ↗ |
| 별칭 | 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 |
| 관련≠ | 4 | 6 |
| 요약≠ | 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. |
| ScholarGate데이터셋 ↗ |
|
|