Geocomputation
A Practical Primer
Chris Brunsdon
- National University of Ireland, Maynooth, Ireland
Alex David Singleton
- University of Liverpool, UK
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Go to College Publishing WebsiteDescription
Brunsdon and Singleton offer a unique contribution to the zeitgeist of geocomputation... 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 Director of the Laboratory for Geocomputation, Ryerson University
?Geocomputation is the use of software and computing power to solve complex spatial problems. It is gaining increasing importance in the era of the ‘big data’ revolution, of ‘smart cities’, of crowdsourced data, and of associated applications for viewing and managing data geographically - like Google Maps. This student focused book:
- Eric Vaz Director of the Laboratory for Geocomputation, Ryerson University
?Geocomputation is the use of software and computing power to solve complex spatial problems. It is gaining increasing importance in the era of the ‘big data’ revolution, of ‘smart cities’, of crowdsourced data, and of associated applications for viewing and managing data geographically - like Google Maps. This student focused book:
- Provides a selection of practical examples of geocomputational techniques and ‘hot topics’ written by world leading practitioners.
- Integrates supporting materials in each chapter, such as code and data, enabling readers to work through the examples themselves.
Chapters provide highly applied and practical discussions of:
- Visualisation and exploratory spatial data analysis
- Space time modelling
- Spatial algorithms
- Spatial regression and statistics
- Enabling interactions through the use of neogeography
All chapters are uniform in design and each includes an introduction, case studies, conclusions - drawing together the generalities of the introduction and specific findings from the case study application – and guidance for further reading.
This accessible text has been specifically designed for those readers who are new to Geocomputation as an area of research, showing how complex real-world problems can be solved through the integration of technology, data, and geocomputational methods. This is the applied primer for Geocomputation in the social sciences.
Contents
Introduction
Introduction
Describing how the world looks
- Spatial Data Visualisation with R
- Geographical Agents in Three Dimensions
- Scale, Power Laws, and Rank Size in Spatial Analysis
Exploring movements in space
- Agent-Based Modeling and Geographical Information Systems
- Microsimulation Modelling for Social Scientists
- Spatio-Temporal Knowledge Discovery
- Circular Statistics
Making geographical decisions
- Geodemographic Analysis
- Social Area Analysis and Self Organizing Maps
- Kernel density estimation and Percent Volume Contours
- Location-Allocation Models
Explaining how the world works
- Geographically Weighted Generalised Linear Modelling
- Spatial Interaction Models
- Python Spatial Analysis Library (PySAL): An Update And Illustration
- Reproducible Research: Concepts, Techniques and Issues
Enabling interactions
- Using Crowd-Sourced Information to Analyse Changes in the Onset of the North American Spring
- Open Source GIS software
- Public Participation in Geocomputation to Support Spatial Decision Making
- Conclusion
- References
Additional materials
Description
Brunsdon and Singleton offer a unique contribution to the zeitgeist of geocomputation... 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 Director of the Laboratory for Geocomputation, Ryerson University
?Geocomputation is the use of software and computing power to solve complex spatial problems. It is gaining increasing importance in the era of the ‘big data’ revolution, of ‘smart cities’, of crowdsourced data, and of associated applications for viewing and managing data geographically - like Google Maps. This student focused book:
- Eric Vaz Director of the Laboratory for Geocomputation, Ryerson University
?Geocomputation is the use of software and computing power to solve complex spatial problems. It is gaining increasing importance in the era of the ‘big data’ revolution, of ‘smart cities’, of crowdsourced data, and of associated applications for viewing and managing data geographically - like Google Maps. This student focused book:
- Provides a selection of practical examples of geocomputational techniques and ‘hot topics’ written by world leading practitioners.
- Integrates supporting materials in each chapter, such as code and data, enabling readers to work through the examples themselves.
Chapters provide highly applied and practical discussions of:
- Visualisation and exploratory spatial data analysis
- Space time modelling
- Spatial algorithms
- Spatial regression and statistics
- Enabling interactions through the use of neogeography
All chapters are uniform in design and each includes an introduction, case studies, conclusions - drawing together the generalities of the introduction and specific findings from the case study application – and guidance for further reading.
This accessible text has been specifically designed for those readers who are new to Geocomputation as an area of research, showing how complex real-world problems can be solved through the integration of technology, data, and geocomputational methods. This is the applied primer for Geocomputation in the social sciences.
Contents
Introduction
Introduction
Describing how the world looks
- Spatial Data Visualisation with R
- Geographical Agents in Three Dimensions
- Scale, Power Laws, and Rank Size in Spatial Analysis
Exploring movements in space
- Agent-Based Modeling and Geographical Information Systems
- Microsimulation Modelling for Social Scientists
- Spatio-Temporal Knowledge Discovery
- Circular Statistics
Making geographical decisions
- Geodemographic Analysis
- Social Area Analysis and Self Organizing Maps
- Kernel density estimation and Percent Volume Contours
- Location-Allocation Models
Explaining how the world works
- Geographically Weighted Generalised Linear Modelling
- Spatial Interaction Models
- Python Spatial Analysis Library (PySAL): An Update And Illustration
- Reproducible Research: Concepts, Techniques and Issues
Enabling interactions
- Using Crowd-Sourced Information to Analyse Changes in the Onset of the North American Spring
- Open Source GIS software
- Public Participation in Geocomputation to Support Spatial Decision Making
- Conclusion
- References
Additional materials
Reviews
February 2015 | 392 pages | Sage UK
| Format | Published Date | ISBN | Price |
|---|
Brunsdon and Singleton offer a unique contribution to the zeitgeist of geocomputation... 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 Director of the Laboratory for Geocomputation, Ryerson University
?Geocomputation is the use of software and computing power to solve complex spatial problems. It is gaining increasing importance in the era of the ‘big data’ revolution, of ‘smart cities’, of crowdsourced data, and of associated applications for viewing and managing data geographically - like Google Maps. This student focused book:
- Eric Vaz Director of the Laboratory for Geocomputation, Ryerson University
?Geocomputation is the use of software and computing power to solve complex spatial problems. It is gaining increasing importance in the era of the ‘big data’ revolution, of ‘smart cities’, of crowdsourced data, and of associated applications for viewing and managing data geographically - like Google Maps. This student focused book:
- Provides a selection of practical examples of geocomputational techniques and ‘hot topics’ written by world leading practitioners.
- Integrates supporting materials in each chapter, such as code and data, enabling readers to work through the examples themselves.
Chapters provide highly applied and practical discussions of:
- Visualisation and exploratory spatial data analysis
- Space time modelling
- Spatial algorithms
- Spatial regression and statistics
- Enabling interactions through the use of neogeography
All chapters are uniform in design and each includes an introduction, case studies, conclusions - drawing together the generalities of the introduction and specific findings from the case study application – and guidance for further reading.
This accessible text has been specifically designed for those readers who are new to Geocomputation as an area of research, showing how complex real-world problems can be solved through the integration of technology, data, and geocomputational methods. This is the applied primer for Geocomputation in the social sciences.
Table Of Contents:
- Introduction
- Describing how the world looks
- Spatial Data Visualisation with R
- Geographical Agents in Three Dimensions
- Scale, Power Laws, and Rank Size in Spatial Analysis
- Exploring movements in space
- Agent-Based Modeling and Geographical Information Systems
- Microsimulation Modelling for Social Scientists
- Spatio-Temporal Knowledge Discovery
- Circular Statistics
- Making geographical decisions
- Geodemographic Analysis
- Social Area Analysis and Self Organizing Maps
- Kernel density estimation and Percent Volume Contours
- Location-Allocation Models
- Explaining how the world works
- Geographically Weighted Generalised Linear Modelling
- Spatial Interaction Models
- Python Spatial Analysis Library (PySAL): An Update And Illustration
- Reproducible Research: Concepts, Techniques and Issues
- Enabling interactions
- Using Crowd-Sourced Information to Analyse Changes in the Onset of the North American Spring
- Open Source GIS software
- Public Participation in Geocomputation to Support Spatial Decision Making
- Conclusion
- References
Recent Product Reviews:
Great starting textbook for 3rd year students in Geography
Professor Liliana Perez, Geography Dept, Universite de Montreal
short but comprehensive overview of contemporary geo-spatial problems and solutionsvery useful are the practical examples of implementation
Dr Margreth Keiler, Institute of Geography, University of Bern
This is a very accessible text that helps students to understand the types of practical choices that need to be made when pursuing a geo-computational analysis. The geodemographics chapter was particularly good in talking the reader through the problem in a way that would make sense to anyone with modest maths while allowing them to feel like they could undertake a similar analysis for themselves. I wasn't sure what to expect, but it is really a great reference textbook for students (and lecturers!)
Dr Jonathan Reades, Department of Geography, King's College London
This is a very good text book. I particularly like that it relies on R as a software rather than other GIS software which is expensive and may not be available on university campuses. The textbook is an essential reading for students that would like to map inter-ethnic conflict as part of their research project on my course Race, Ethnicity and Migration. More and more students should be actively encouraged to use geocomputational techniques as they present a nice visualization of complex problems.
Dr Neli Demireva, Department of Sociology, Essex University
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, University College London