The theory of stochastic processes indexed by a partially ordered set
has been the subject of much research over the past twenty years. The
objective of this CIME International Summer School was to bring to a
large audience of young probabilists the general theory of spatial
processes, including the theory of set-indexed martingales and to
present the different branches of applications of this theory, including
stochastic geometry, spatial statistics, empirical processes, spatial
estimators and survival analysis. This theory has a broad variety of
applications in environmental sciences, social sciences, structure of
material and image analysis. In this volume, the reader will find
different approaches which foster the development of tools to modelling
the spatial aspects of stochastic problems.