Geocomputation

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

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• Sistemas de informação geográfica (GIS) e observação remota