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 …

Hyperprior specifications for random fields in spatial point process modelling can have a
major influence on the results. In fitting log-Gaussian Cox processes to rainforest tree …

In this work, we consider space-time point processes and study their continuous space-time
evolution. We propose an innovative nonparametric methodology to estimate the unknown …

Statistical inference for highly multivariate point pattern data is challenging due to complex
models with large numbers of parameters. In this paper, we develop numerically stable and …

Identifying structural differences among observed point patterns from several populations is
of interest in several applications. We use deep convolutional neural networks and employ a …

Spatial patterns are not only the foundation for the understanding of plant interactions, but
also reflect the spatial processes among plant populations. The primary requirement of …

摘要半日花是国家二级珍稀濒危植物, 其种群数量日益减少, 分布区破碎化.
以宁夏新记录物种半日花为研究对象, 分析在沙地和砾石质两种生境下半日花种群结构 …

We propose a method for detecting significant interactions in very large multivariate spatial
point patterns. This methodology thus develops high dimensional data understanding in the …

This study aims to extend the estimating equations based on the Poisson and logistic
regression likelihoods to model the intensity of a multivariate point process. The proposed …

Capture‐recapture (CR) data and corresponding models have been used extensively to
estimate the size of wildlife populations when detection probability is less than 1. When the …