Structured Space-Sphere Point Processes and K-Functions

被引:1
|
作者
Moller, Jesper [1 ]
Christensen, Heidi S. [1 ]
Cuevas-Pacheco, Francisco [1 ]
Christoffersen, Andreas D. [1 ]
机构
[1] Aalborg Univ, Dept Math Sci, DK-9220 Aalborg, Denmark
关键词
First and second order separability; Functional summary statistic; Log Gaussian Cox process; Pair correlation function; Shot noise Cox process; 2ND-ORDER ANALYSIS; STATISTICS; HYPOTHESIS;
D O I
10.1007/s11009-019-09712-w
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper concerns space-sphere point processes, that is, point processes on the product space of DOUBLE-STRUCK CAPITAL Rd (the d-dimensional Euclidean space) and Sk(the k-dimensional sphere). We consider specific classes of models for space-sphere point processes, which are adaptations of existing models for either spherical or spatial point processes. For model checking or fitting, we present the space-sphere K-function which is a natural extension of the inhomogeneous K-function for point processes on DOUBLE-STRUCK CAPITAL Rdto the case of space-sphere point processes. Under the assumption that the intensity and pair correlation function both have a certain separable structure, the space-sphere K-function is shown to be proportional to the product of the inhomogeneous spatial and spherical K-functions. For the presented space-sphere point process models, we discuss cases where such a separable structure can be obtained. The usefulness of the space-sphere K-function is illustrated for real and simulated datasets with varying dimensions d and k.
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页码:569 / 591
页数:23
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