This volume shows how sophisticated spatial statistical and computational methods apply to a range of problems of increasing importance for applications in science and technology. It introduces topics of current interest in spatial and computational statistics, which should be accessible to postgraduate students as well as to experienced statistical researchers.

Offers the first unified collection of recent theoretical advances and applications in simulation-based inference for spatial point processes Devotes considerable attention to different facets of approximate likelihood inference and simulation-based Bayesian inference. Discusses perfect simulation procedures-one of the most exciting new development sin MCMC Includes numerous illuminating examples and illustrations Spatial point processes play a fundamental role in spatial statistics and today they are a very active area of research with many new and emerging applications. Although published...

Tessellations are subdivisions of d-dimensional space into non-overlapping "cells". Voronoi tessellations are produced by first considering a set of points (known as nuclei) in d-space, and then defining cells as the set of points which are closest to each nuclei. A random Voronoi tessellation is produced by supposing that the location of each nuclei is determined by some random process. They provide models for many natural phenomena as diverse as the growth of crystals, the territories of animals, the development of regional market areas, and in subjects such as computational geometry and...