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.

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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.

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

Geocomputation is the use of software and computing power to solve complex spatial problems. 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.

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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.

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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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The book acts both as a reference guide to the field and as a guide to help you get to know aspects of it. Each chapter includes a worked example with step-by-step instructions. Each chapter has a different author, and includes topics such as spatial data visualisation with R, agent-based modelling, kernel density estimation, spatial interaction models and the Python Spatial Analysis library, PySAL. With 18 chapters, the book runs to over pages and so has the appropriate depth to cover a diverse, active and fast-evolving field. I wrote a chapter in the book, on open source GIS.

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