Next-generation wireless networks are expected to be highly heterogeneous, multilayered,
with embedded intelligence at both the core and edge of the network. In such a context …

Our understanding of a biological population can be greatly enhanced by modelling their
distribution in space and as a function of environmental covariates. Such models can be …

The study of animal movement has always been a key element in ecological science,
because it is inherently linked to critical processes that scale from individuals to populations …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

spatstat is a package for analyzing spatial point pattern data. Its functionality includes
exploratory data analysis, model-fitting, and simulation. It is designed to handle realistic …

Spatial point processes are mathematical models used to describe and analyse the
geometrical structure of patterns formed by objects that are irregularly or randomly …

Spatial point processes play a fundamental role in spatial statistics and today they are an
active area of research with many new applications. Although other published works …

Habitat selection is a fundamental aspect of animal ecology, the understanding of which is
critical to management and conservation. Global positioning system data from animals allow …

Since the publication of the second edition, many new Bayesian tools and methods have
been developed for space-time data analysis, the predictive modeling of health outcomes …

and chapter 7 focuses on modeling of spatial distribution of diseases. Finally, chapter 8
explains data-driven and knowledge-driven modeling for risk assessment and management …