An extensive update to a classic text Stochastic geometry and spatial statistics play a
fundamental role in many modern branches of physics, materials sciences, engineering …

Research on earthquake occurrences using a statistical methodology based on point
processes has mainly focused on the data featuring earthquake catalogs which ignores the …

Existing methods for fitting Neyman–Scott cluster process models to spatial point pattern
data often fail to converge, or converge to implausible values of the parameters, or exhibit …

鹞落坪落叶阔叶林蔷薇科主要树种的空间分布格局及种间关联性 Page 134 生物多样性2020, 28
(8): 1008–1017 doi: 10.17520/biods. 2020015 Biodiversity Science http://www …

Inhomogeneous cluster point processes have been considered for modeling the distribution
of earthquake epicenters with the spatial trend and clustering patterns. In particular, the …

We introduce a class of proper scoring rules for evaluating spatial point process forecasts
based on summary statistics. These scoring rules rely on Monte-Carlo approximations of …

Spatial aggregation of proteins might have functional importance, eg, in signaling, and nano-
imaging can be used to study them. Such studies require accurate characterization of …

Point process statistics provides valuable tools for many ecological studies, where 'points'
are commonly determined to represent the locations of plants or animals and 'marks' are …

We review existing algorithms for generating simulated realisations of a spatial Neyman–
Scott cluster point process and propose new algorithms. In real applications, the values of …

In order to discuss community construction and succession mechanism in Dabie Mountains,
three main species of the Rosaceae in the Yaoluoping National Nature Reserve were taken …