Baddeley, Rubak and Turner dedicate their book to Professor Brian D. Ripley, whose
pioneering statistical methods and statistical computing for spatial point process data …

A log Gaussian Cox process (LGCP) is a doubly stochastic construction consisting of a
Poisson point process with a random log-intensity given by a Gaussian random field …

For modelling the location of pyramidal cells in the human cerebral cortex, we suggest a
hierarchical point process in that exhibits anisotropy in the form of cylinders extending along …

This paper focuses on spatial and temporal modeling of point processes on linear networks.
Point processes on linear networks can simply be defined as point events occurring on or …

Machine learning is the science which allows humans to design algorithms and teach
computers to learn patterns from vast amounts of data and use the patterns to automatically …

建群种是植物群落优势层中的主要物种, 对群落环境有显著控制作用. 空间格局是植物种群的
基本特征之一, 探讨建群种的空间格局是理解生物与生境之间关系和认识群落生态过程的有效 …

In this review, the state-of-the-art for goodness-of-fit testing for spatial point processes is
summarized. Test statistics based on classical functional summary statistics and recent …

The mechanisms of reach and the expansion of credit granted to Brazilian agriculture have
become determinants of production in the sector on a national scale. Thus, this study aims to …

Ziel dieser Arbeit war eine GIS-gestützte landschaftsarchäologische Auswertung der
vorgeschichtlichen Siedlungsentwicklung am Beispiel Bayerns. Es wurde der Versuch …

A log Gaussian Cox process (LGCP) is a doubly stochastic construction consisting of a
Poisson point process with a random log-intensity given by a Gaussian random field …