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Bayesian methodsBayesian / computational

空间蒙特卡洛模拟

空间蒙特卡洛模拟将随机抽样方法应用于空间问题,生成空间过程(如随机场、点模式或网络)的多次随机实现,以估计分布特性、传播不确定性或检验空间假设。它是地统计学、空间流行病学、生态学和环境建模中的一项基石技术。

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来源

  1. Ripley, B. D. (1987). Stochastic Simulation. John Wiley & Sons. ISBN: 978-0471818847
  2. Diggle, P. J. (2003). Statistical Analysis of Spatial Point Patterns (2nd ed.). Arnold. ISBN: 978-0340740669

如何引用本页

ScholarGate. (2026, June 3). Spatial Monte Carlo Simulation. ScholarGate. https://scholargate.app/zh/bayesian/spatial-monte-carlo-simulation

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.

Compare side by side
ScholarGateSpatial Monte Carlo Simulation (Spatial Monte Carlo Simulation). 于 2026-06-15 检索自 https://scholargate.app/zh/bayesian/spatial-monte-carlo-simulation · 数据集: https://doi.org/10.5281/zenodo.20539026