Chris Brunsdon studied mathematics at the University of Durham before moving to the Department of Geography at Newcastle University where he remained for a number of years, until taking a Chair in the School of Computing at the University of Glamorgan, and subsequently a Chair in GIS at the University of Leicester. He is currently (as of July 1st) Professor of Human Geography in the School of Environmental Sciences at the University of Liverpool. His research interests include spatial statistics and statistical computing and spatial data visualisation. He has particular interest in applications of methods in the fields of health, crime and house prices.

Introduction
Describing how the world looks
Spatial Data Visualisation with R - James Cheshire and Robin Lovelace
Geographical Agents in Three Dimensions - Paul Torrens
Scale, Power Laws, and Rank Size in Spatial Analysis - Michael Batty
Exploring movements in space
Agent-Based Modeling and Geographical Information Systems - Andrew Crooks
Microsimulation Modelling for Social Scientists - Kirk Harland; and Mark Birkin
Spatio-Temporal Knowledge Discovery - Harvey Miller
Circular Statistics - David Rohde and Jonathan Corcoran
Making geographical decisions
Geodemographic Analysis - Alexandros Alexiou and Alexander Singleton
Social Area Analysis and Self Organizing Maps - Seth Spielman and David Folch
Kernel density estimation and Percent Volume Contours - Daniel Lewis
Location-Allocation Models - Melanie Tomintz, Graham Clarke and Nawaf Alfadhli
Explaining how the world works
Geographically Weighted Generalised Linear Modelling - Tomoki Nakaya
Spatial Interaction Models - Karyn Morrissey
Python Spatial Analysis Library (PySAL): An Update And Illustration - Sergio Rey
Reproducible Research: Concepts, Techniques and Issues - Chris Brunsdon and Alex Singleton
Enabling interactions
Using Crowd-Sourced Information to Analyse Changes in the Onset of the North American Spring - Chris Brunsdon and Lex Comber
Open Source GIS software - Oliver O'Brien
Public Participation in Geocomputation to Support Spatial Decision Making - Richard Kingston
Conclusion
References