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The Autocovariance Function for Marked Point Processes: A Comparison between Two Different Approaches

机译:标记点过程的自协方差函数:两种不同方法的比较

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摘要

Exploratory analysis of marked point patterns has previously been conducted using two disjoint techniques, namely the mark correlation function and spectral analysis. Our purpose here is to present two alternative autocovariance estimators to the mark correlation function which not only apply in both planar and lattice situations, but which in the lattice case can also be considered in terms of the inverse Fourier transform of the spectrum. Moreover, they can be applied to isotropic or anisotropic marked point patterns. Various examples are presented to show how these estimators perform when applied to data sets possessing different kinds of mark structure, and a rank test procedure is proposed to enable the construction of empirical tests of hypothesis.
机译:先前已经使用两种不相交的技术对标记点图案进行了探索性分析,即标记相关函数和光谱分析。我们的目的是为标记相关函数提供两个备选的自协方差估计器,它们不仅适用于平面和晶格情况,而且在晶格情况下也可以根据频谱的逆傅立叶变换考虑。而且,它们可以应用于各向同性或各向异性的标记点图案。给出了各种示例,以说明这些估计器在应用于具有不同标记结构类型的数据集时的性能,并提出了等级检验程序,以构建假设的经验检验。

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