Regression modelGIS / spatial
贝叶斯盖里C统计量
贝叶斯盖里C统计量将经典的盖里邻近比率嵌入到贝叶斯分层框架中。它不提供单一的点估计和渐近p值，而是生成统计量（或空间结构随机效应）的后验分布，在正式纳入空间过程先验知识的同时量化空间自相关的程度。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145. DOI: 10.2307/2986645 ↗
- Banerjee, S., Carlin, B. P., & Gelfand, A. E. (2004). Hierarchical Modeling and Analysis for Spatial Data. Chapman & Hall/CRC. ISBN: 978-1584884101
如何引用本页
ScholarGate. (2026, June 3). Bayesian Geary's Contiguity Ratio. ScholarGate. https://scholargate.app/zh/spatial-analysis/bayesian-gearys-c
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 贝叶斯局部空间关联指标 (Bayesian LISA)空间分析↔ compare
- 贝叶斯 Moran's I空间分析↔ compare
- 贝叶斯空间自相关空间分析↔ compare
- Geary's C空间分析↔ compare
- 局部吉尔里C空间分析↔ compare
- Moran's I空间分析↔ compare