We review recent research on statistical methods for analysing spatial patterns of points on a
network of lines, such as road accident locations along a road network. Due to geometrical …

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 …

This article reviews developments in statistics for spatial point processes obtained within
roughly the past decade. These developments include new classes of spatial point process …

Spatially explicit consideration of species distribution can significantly add to our
understanding of species coexistence. In this paper, we evaluated the relative importance of …

The kppm is a standard procedure to estimate the parameters of the inhomogeneous Cox
point process. However, the procedure cannot handle the problem when the models involve …

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

The spatial distribution pattern and population structure of trees are shaped by multiple
processes, such as species characteristics, environmental factors, and intraspecific and …

Summary Multivariate log-Gaussian Cox processes are flexible models for multivariate point
patterns. However, they have so far been applied in bivariate cases only. We move beyond …

The relative influence of niche vs. neutral processes in ecosystem dynamics is an on‐going
debate, but the extent to which they structured the earliest animal communities is unknown …

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 …