Perspectives on Spatial Data Analysis
- A Stewart Fotheringham - National University of Ireland, Maynooth, Ireland
- Chris Brunsdon - National University of Ireland, Maynooth, Ireland
- Martin Charlton - University of Newcastle upon Tyne, UK
Quantitative Methods in Geography
Quantitative Geography is a lucid and comprehensive overview of the use of quantitative methods in spatial data analysis. It focuses on the philosophy informing spatial analysis and demonstrates the significant differences between modern quantitative methods and the methods associated with Geography's 'Quantitative Revolution' in the sixties. The text integrates a discussion of the application of quantitative methods with practical examples, and explains the philosophy of the new quantitative methodologies. Comprising a discussion of specific techniques, Quantitative Geography critically examines the profound difference in the use of those techniques since the quantitative revolution.
Key issues include: spatial data; geographical information systems; visualization; local analysis; point pattern analysis; spatial regression; and statistical inference. Concluding with a review of models used in spatial theory, the text goes on to discuss the current challenges to spatial data analysis.
Written to be accessible, to communicate the diversity and excitement of recent thinking, Quantitative Geography will be required reading for students and researchers in any discipline where quantitative methods are used to analyze spatial data.
". . . this is an excellent piece of work! The book is particularly important for those who are dealing with spatial data, both geographers and researchers in other disciplines, and those who wish to appreciate newly developing techniques in spatial analysis. It would make an outstanding textbook and is an essential reference work."
- THE ANNALS OF THE ASSOCIATION OF AMERICAN GEOGRAPHERS
`This is a veritable tour de force of everything that is exciting about quantitative geography and GIS. It is a timely, thorough and exciting account of the state of the art and science of spatial analysis'
- Paul Longley, University of Bristol
`A highly innovative and up-to-date text. It is unique in its coverage of the many developments that have taken place in the field over the past few years. The book is one that is highly readable and stimulating for those with some background in the field, and its expositional style and many examples will make it stimulating to newcomers as well'
- Peter Rogerson, State University of New York at Buffalo
`Brings the field thoroughly up to date, integrating modern methods of GIS with a comprehensive and easy-to-read overview of the most recent and powerful techniques of spatial analysis. The book will be valuable to students and researchers in any discipline that seeks to explore or explain phenomena in geographical context, and will make excellent reading for geographers, political scientists, criminologists, anthropologists, geologists, epidemiologists, ecologists, and many others. It offers a spirited challenge to critics of a scientific approach to social science, and demonstrates the value of its subject matter through abundant examples'
- Michael Goodchild, National Center for Geographic Information and Analysis, University of California, Santa Barbara
`There is a view within some parts of academic geography that what used to be called "quantitative geography" is dead, having been subsumed within "geographical information systems" or else of no continuing interest. This book should correct this view. First, it shows that quantitative methods have remained an exciting area of development and, second, it shows that, if anything, they have more relevance to substantive problems of interest than they have ever had. Although not specifically about GIS, it is a book that should be read by everyone concerned with the analysis of geographical information'
- David Unwin, Birkbeck College, University of London
This is very good and useful textbook for quantitative geographers. On the other hand it is not suitable for my course of statistics because the course is dealing just with the elementary statistics. I will definitely try to recommend it to my colleagues.
Initially I had considered this book as a recommended text for my undergraduates. But after reviewing it, I felt that it should be more recommended for post-grads, especially in view of those chapters in which the maths gets to higher levels.
For my undergrads, I am sieving some parts of it in my lectures and recommending it as an supplementary texts, especially for those students who have higher skills in mathematics.
Too advanced for an UG course. Would recommend as supplement reading for an MSc course
This was too specific for my course, but I will recommend it to appropriate students