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Table of Contents

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

About the Author

Chris Brunsdon is Professor of Geocomputation at the National University of Ireland, Maynooth. He studied Mathematics at the University of Durham and Medical Statistics at the University of Newcastle upon Tyne, and has worked in a number of universities, holding the Chair in Human Geography at Liverpool University before taking up his current position. His research interests are in health, crime and environmental data analysis, and in the development of spatial analytical tools, including Geographically Weighted Regression approach. He also has interests in the software tools used to develop such approaches, including R. Alex Singleton is a Reader in Geographic Information Science at the University of Liverpool. He holds a BSc (1st class Hons) in Geography from the University of Manchester and a PhD from University College London. His research has extended a geographic tradition of area classification and developed a broad critique of the ways in which geodemographic methods can be refined through modern scientific approaches to data mining, geographic information science and quantitative human geography.


Brunsdon and Singleton offer a unique contribution to the zeitgeist of geocomputation. Geocomputation as a ubiquitous and quite novel field, is explored by the authors in a deductive and highly constructive fashion. The authors offer a wide array of applications brought by leading scholars in the field of Geographic Information Science, spatial analysis and spatial modelling. The role of new techniques that are revolutionizing the usage of geocomputation is well explored and the systematic approach the book adopts in envisioning available tools is appropriately constructed. This book is a great contribution for an advancing field, and a much welcomed achievement for the growth of a new kind of spatial science. -- Eric Vaz This is a vital primer to what is `Big' about geocomputation: new data (and lots of them), innovative methods of analysis, new geographic information technologies and, above all, an over-arching rethink of how we represent geography. It provides an important and strategic contribution to contemporary scientific geography and data analytics. -- Paul Longley, Professor of Geographic Information Science

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