  In recent years there has been a substantial increase in the availability of
datasets which contain information about the location and timing of an event or
group of events and the application of methods to analyse spatio-temporal
datasets spans many disciplines. This chapter defines and provides an overview
of tools for analysing spatial and temporal point patterns and processes, where
discrete events occur at random across space or over time respectively. It also
introduces the concept of spatial-temporal point patterns and methods of
analysis for data where events occur in both space and time. We discuss models,
methods and tools for analysing point processes.
