An Introduction to Geographical Information Systems

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Edition: 4th
Format: Paperback
Pub. Date: 2012-06-08
Publisher(s): Pearson
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Summary

The fourth edition of this highly regarded and successful text continues to provide a clear and accessible introduction to the world of GIS for students and professionals. With an increased focus on the practical applications of GIS, the new edition features a wealth of new multi-disciplinary case studies and examples of GIS in practice, demonstrating how it is used worldwide and within a variety of different industries.

Furthermore, the new edition has been substantially revised and updated to include coverage of the latest advances in GIS such as web and mobile applications.

An Introduction to Geographical Information Systems is suitable for students of Geographical Information studies at all levels, from undergraduate to professionals retraining in GIS.

Author Biography

Ian Heywood, previously Director of Director of Growing Business and Skills for Scottish Enterprise Grampian, Director of Open and Distance Learning for RobertGordonUniversity, Aberdeen, and a Senior Lecturer in GIS at ManchesterMetropolitanUniversity, is now a freelance consultant and Director of the Ideas Academy Ltd.

Sarah Cornelius is a Lecturer in the School of Education at the University of Aberdeen, specializing in adult and online learning. She was previously an Associate Lecturer for the Open University and has taught GIS at Manchester Metropolitan University and the Free University of Amsterdam.

Steve Carver is a Senior Lecturer in the Department of Geography at the University of Leeds. He is Director of the MA in GIS and MSc in GIS.

Table of Contents

Part 1  Fundamentals of GIS

1          What is GIS?
2          Spatial data
3          Spatial data modelling
4          Database management
5          Data input and editing
6          Data analysis
7          Analytical modelling in GIS      
8          Output: from new maps to enhanced decisions

Part 2  Issues in GIS

9          The development of computer methods for handling spatial data
10        Data quality issues
11        Human and organizational issues
12        GIS project design and management

13.The Future of GIS

 

 

 

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