The only student focused, applied primer for Geocomputation in the social sciences. With example code and data sets provided as add-ons, it enables readers to work through all the examples themselves. An accessible text, specifically designed for readers who are new to Geocomputation as an area of research.
The only student focused, applied primer for Geocomputation in the social sciences. With example code and data sets provided as add-ons, it enables readers to work through all the examples themselves. An accessible text, specifically designed for readers who are new to Geocomputation as an area of research.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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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