Geospatial Analysis - A Comprehensive Guide to Principles, Techniques, and Software Tools
This book provides a comprehensive guide to concepts, methods and tools related to Geospatial Analysis, with many examples being provided using a variety of software tools such as ArcGIS, Idrisi, Grass, Surfer and many others to clarify the concept.
Publication date: 31 Dec 2015
ISBN-10: n/a
ISBN-13: n/a
Paperback: 748 pages
Views: 11,205
Type: Book
Publisher: n/a
License: n/a
Post time: 29 Nov 2016 04:00:00
Geospatial Analysis - A Comprehensive Guide to Principles, Techniques, and Software Tools
This book provides a comprehensive guide to concepts, methods and tools related to Geospatial Analysis, with many examples being provided using a variety of software tools such as ArcGIS, Idrisi, Grass, Surfer and many others to clarify the concept.
Publication date: 31 Dec 2015
ISBN-10: n/a
ISBN-13: n/a
Paperback: 748 pages
Views: 11,205
Document Type: Book
Publisher: n/a
License: n/a
Post time: 29 Nov 2016 04:00:00
Goodchild, de Smith, and Longley wrote:What is Geospatial Analysis online?
Geospatial Analysis online is a free, web-based resource. It provides a comprehensive guide to concepts, methods and tools, with many examples being provided using a variety of software tools such as ArcGIS, Idrisi, Grass, Surfer and many others to clarify the concepts discussed. It aims to be comprehensive in terms of concepts and techniques (but not necessarily exhaustive), representative and independent in terms of software tools, and above all practical in terms of application and implementation.
Goodchild, de Smith, and Longley wrote:Topics covered in detail include:
- Geospatial analysis concepts
- Analytical methodologies and model building
- Core components of geospatial analysis, including distance and directional analysis, geometrical processing, map algebra, and grid models
- Exploratory Spatial and Spatio-temporal Data Analysis (ESDA, ESTDA) and spatial statistics, including spatial autocorrelation and spatial regression
- Surface analysis, including surface form and flow analysis, gridding and interpolation methods, and visibility analysis
- Network and locational analysis, including shortest path calculation, travelling salesman problems, facility location and arc routing
- Geocomputational methods, including agent-based modelling, artifical neural networks and evolutionary computing
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About The Author(s)
Academic researcher and lecturer at the Centre for Advanced Spatial Analysis (CASA), the Department of Civil, Environmental and Geomatic Engineering at UCL and the Department of Geography at UCL.
Academic researcher and lecturer at the Centre for Advanced Spatial Analysis (CASA), the Department of Civil, Environmental and Geomatic Engineering at UCL and the Department of Geography at UCL.
Michael Frank Goodchild is Emeritus Professor of Geography at the University of California, Santa Barbara, where he also holds the title of Research Professor. He also holds an affiliate appointment in the Department of Geography at the University of Washington. Until his retirement in June 2012 he was Jack and Laura Dangermond Professor of Geography, and Director of UCSB’s Center for Spatial Studies. His research interests center on geographic information science, spatial analysis, and uncertainty in geographic data.
Michael Frank Goodchild is Emeritus Professor of Geography at the University of California, Santa Barbara, where he also holds the title of Research Professor. He also holds an affiliate appointment in the Department of Geography at the University of Washington. Until his retirement in June 2012 he was Jack and Laura Dangermond Professor of Geography, and Director of UCSB’s Center for Spatial Studies. His research interests center on geographic information science, spatial analysis, and uncertainty in geographic data.
Paul Longley (B.Sc., Ph.D., D.Sc., FAcSS) is Professor of Geographic Information Science at University College London, UK, where he also directs the ESRC Consumer Data Research Centre. His research interests are focused around socioeconomic applications of GIScience, in geo-temporal demographics, retailing, genealogy and urban modelling, latterly often using Big Data analytics. He teaches Geographic Information Science and Systems and is a co-author of the best-selling book of that name.
Paul Longley (B.Sc., Ph.D., D.Sc., FAcSS) is Professor of Geographic Information Science at University College London, UK, where he also directs the ESRC Consumer Data Research Centre. His research interests are focused around socioeconomic applications of GIScience, in geo-temporal demographics, retailing, genealogy and urban modelling, latterly often using Big Data analytics. He teaches Geographic Information Science and Systems and is a co-author of the best-selling book of that name.