Stochastic Geometry, Spatial Statistics and Random Fields
This volume is an attempt to provide a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, with special emphasis placed on fundamental classes of models and algorithms as well as on their applications, e.g. in materials science, biology and genetics.
This book has a strong focus on simulations and includes extensive codes in Matlab and R which are widely used in the mathematical community. It can be seen as a continuation of the recent volume 2068 of Lecture Notes in Mathematics, where other issues of stochastic geometry, spatial statistics and random fields were
considered with a focus on asymptotic methods.
Frontier theoretical work on point processes, random fields and integral geometryExtensive applications in materials science, biology and geneticsExtensive codes in Matlab and R that help the reader with applicationsMany examples help the reader to deepen their understanding