PDF | Geocomputation: A practical primer provides a thorough introduction to a comprehensive portfolio of key techniques and applications in geospatial. Geocomputation: a practical primer, by Chris Brunsdon and Alex Singleton, London, SAGE Publications, , pp., US$, ISBN. GeoComputation: A Practical Primer, edited by Profs Chris Brunsdon and Alex Singleton, has just been published by SAGE. The book acts both.
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Geocomputation is the use of software and computing power to solve complex spatial problems.
Geocomputation: A Practical Primer – Google Books
This student focused book:. 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 beocomputation be solved through the integration of technology, data, geocomputaton geocomputational methods.
This is the applied primer for Geocomputation in the social sciences. 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 pracctical approaches, including R. In particular, his work has extended a tradition of area classification within Geography where he has developed an empirically informed critique of the ways in which geodemographic methods can be refined for effective yet ethical use in public resource allocation applications.
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This student focused book: 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.
Selected pages Table of Contents. Contents About the Authors. Spatial Data Visualisation with.
Geographical Agents in Three Dimensions. AgentBased Modeling and Geographical Information.
Microsimulation Modelling for Social Scientists. Kernel Density Estimation and Percent Volume.
Geographically Weighted Generalised Linear Modelling. Public Participation in Geocomputation to Support. The Future of Applied Geocomputation. Other editions – View all Geocomputation: