方法证据记录
Spatial Autocorrelation
Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Spatial Autocorrelation Analysis
分类方法记录 · regression-model / spatial-analysis
- Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. · DOI 10.2307/2332142
- Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. · ISBN 978-9024737322
精选声明
声明已持久化到证据分类账中,每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时,此视图不会自行创建声明评估。
相关方法
从方法图中生成,显示为机器建议的关系 — 不推断任何证据声明。