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

Multiscale Geographically Weighted Regression (MGWR) is an important method that is used across many disciplines for exploring spatial heterogeneity and modeling local spatial processes. This book introduces the concepts behind local spatial modeling and explains how to model heterogeneous spatial processes within a regression framework. It starts with the basic ideas and fundamentals of local spatial modeling followed by a detailed discussion of scale issues and statistical inference related to MGWR. A comprehensive guide to free, user-friendly, software for MGWR is provided, as well as an example of the application of MGWR to understand voting behaviour in the 2020 US Presidential election. This book is the definitive guide to local regression modeling and the analysis of spatially varying processes, a very cutting-edge, hands-on, and innovative resource. Features Provides a balance between conceptual and technical introduction to local models Explains state-of-the-art spatial analysis technique for multiscale regression modeling Describes best practices and provides a detailed walkthrough of freely available software, through examples and comparisons with other common spatial data modeling techniques Includes a detailed case study to demonstrate methods and software Takes a new and exciting angle on local spatial modeling using MGWR, an innovation to the previous local modeling ‘bible’ GWR Ideal for senior undergraduate and graduate students in advanced spatial analysis and GIS courses taught in any spatial science discipline as well as for researchers, academics, and professionals who want to understand how location can affect human behavior through local regression modeling.

The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realise they are dealing with spatial data, the demand for specialised statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase. Responding to this demand, The Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of Spatial Data Analysis. Its principal focus is on: * why the analysis of spatial data needs separate treatment * the main areas of spatial analysis * the key debates within spatial analysis * examples of the application of various spatial analytical techniques * problems in spatial analysis * areas for future research Aimed at an international audience of academics, The Handbook of Spatial Analysis will also prove essential to graduate level students and researchers in government agencies and the private sector.

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