论文标题
Gibbsian T-Tessellation模型的农业景观特征
Gibbsian T-tessellation model for agricultural landscape characterization
论文作者
论文摘要
（[10]）引入了一种新的名为T-Tessellations的平面镶嵌物。建议将一个模型视为完全随机的t软化模型（CRTT），并讨论了其Gibbsian变体。得出了模型模拟的大都市杂物绿色类型的一般模拟算法，涉及三种t-Tessellations的局部变换。当前的论文重点介绍了T-Tessellations Gibbs模型的统计推断。统计方法源自点模式分析，以t-键入近似的三个农业景观为例。模型统计数据的选择取决于它们突出景观模式之间差异的能力。模型参数是通过蒙特卡洛最大似然法估计的，得出了景观比较的基线。在本文的最后一部分中，提出了基于空空间函数的全局包络测试，以评估模型的拟合度。
A new class of planar tessellations, named T-tessellations, was introduced in ([10]). A model was proposed to be considered as a completely random T-tessellation model (CRTT) and its Gibbsian variants were discussed. A general simulation algorithm of Metropolis-Hastings-Green type was derived for model simulation, involving three local transformations of T-tessellations. The current paper focuses on statistical inference for Gibbs models of T-tessellations. Statistical methods originated from point pattern analysis are implemented on the example of three agricultural landscapes approximated by T-tessellations. The choice of model statistics is guided by their capacity to highlight the differences between the landscape patterns. Model parameters are estimated by Monte Carlo Maximum Likelihood method, yielding a baseline for landscapes comparison. In the last part of the paper a global envelope test based on the empty-space function is proposed for assessing the goodness-of-fit of the model.
