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...