方法证据记录
Robust Spatial Autocorrelation
Robust spatial autocorrelation methods measure the degree to which nearby geographic units share similar values, while explicitly controlling for the distorting influence of spatial outliers and extreme observations. They extend classical statistics such as Moran's I by down-weighting or trimming observations that would otherwise inflate or deflate the autocorrelation signal.
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。
Robust Spatial Autocorrelation Analysis
分类方法记录 · regression-model / spatial-analysis
- Anselin, L., & Florax, R. J. G. M. (1995). Small sample properties of tests for spatial dependence in regression models: some further results. In Anselin, L. & Florax, R. J. G. M. (Eds.), New Directions in Spatial Econometrics. Springer, Berlin. · URL
- Cliff, A. D., & Ord, J. K. (1981). Spatial Processes: Models and Applications. Pion, London. · ISBN 0850860814
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