Point Pattern Processes and Models

TL;DR

This chapter provides an overview of models and methods for analyzing spatial, temporal, and spatio-temporal point patterns, highlighting recent developments in the field.

Contribution

It introduces a comprehensive overview of tools and models for analyzing point processes across space and time, including new methods for spatio-temporal data.

Findings

Overview of point pattern analysis tools

Introduction of spatio-temporal analysis methods

Discussion of models for point processes

Abstract

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.