GEOCOMPUTATION A PRACTICAL PRIMER PDF

Geocomputation is the use of software and computing power to solve complex spatial problems. 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 can be solved through the integration of technology, data, and geocomputational methods. This is the applied primer for Geocomputation in the social sciences.

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Geocomputation is the use of software and computing power to solve complex spatial problems. 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 can be solved through the integration of technology, data, and geocomputational methods.

This is the applied primer for Geocomputation in the social sciences. Chris Brunsdon is Professor of Geocomputation and Director of the National Centre for Geocomputation at the National University of Ireland, Maynooth, having worked previously in the Universities of Newcastle, Glamorgan, Leicester and Liverpool, variously in departments focusing on both geography and computing.

He has interests that span both of these disciplines, including spatial statistics, geographical information science, and exploratory spatial data analysis, and in particular the application of these ideas to crime pattern analysis, the modelling of house prices, medical and health geography and the analysis of land use data. He was one of the originators of the technique of geographically weighted regression GWR.

He has extensive experience of programming in R, going back to the late s, and has developed a number of R packages which are currently available on CRAN, the Comprehensive R Archive Network.

He is an advocate of free and open source software, and in particular the use of reproducible research methods, and has contributed to a large number of workshops on the use of R and of GWR in a number of countries, including the UK, Ireland, Japan, Canada, the USA, the Czech Republic and Australia.

When not involved in academic work he enjoys running, collecting clocks and watches, and cooking — the last of these probably cancelling out the benefits of the first. 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.

Geocomputation : A Practical Primer. Chris Brunsdon , Alex Singleton. 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.

Spatial Data Visualisation with. Geographical Agents in Three Dimensions. AgentBased Modeling and Geographical Information. Microsimulation Modelling for Social Scientists. SpatioTemporal Knowledge Discovery. Kernel Density Estimation and Percent Volume. LocationAllocation Models. Geographically Weighted Generalised Linear Modelling. Spatial Interaction Models. Concepts Techniques. Circular Statistics. Geodemographic Analysis. Public Participation in Geocomputation to Support.

The Future of Applied Geocomputation. About the Authors. An Update.

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GeoComputation: A Practical Primer

Academic journal article Geography. Geocomputation: A practical primer provides a thorough introduction to a comprehensive portfolio of key techniques and applications in geospatial analysis. The book offers a diverse assortment of chapters which discuss the most prevalent fields and methods in geocomputation today. Each of contribution is authored by academic specialists who share a common interest in harnessing computing and bespoke software to solve spatial problems. Geocomputation is perhaps more relevant today than ever before given that the past decade has seen a resurgence in the popularity of coding languages which have unshackled analysts from the restrictive capacities of conventional GIS packages. Within academia, especially, many developments in geocomputation have utilised open-source software and this book therefore rather appropriately uses such software in most of its demonstrations. An unknown error has occurred.

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Geocomputation: A Practical Primer

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. 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. 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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