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Quantitative Geography: Perspectives on Spatial Data Analysis
 
 
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Quantitative Geography: Perspectives on Spatial Data Analysis [Paperback]

A. Stewart Fotheringham (Author), Chris Brunsdon (Author), Martin Charlton (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

May 2000 0761959483 978-0761959489 1
Integrating a discussion of the application of quantitative methods with practical examples, this book explains the philosophy of the new quantitative methodologies and contrasts them with the methods associated with geography's `Quantitative Revolution' of the 1960s. Key issues discussed include: the nature of modern quantitative geography; 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 authors discuss the current challenges to spatial data analysis.

Written to be accessible, to communicate the diversity and excitement of recent thinking, Quantitative Geog


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Customers buy this book with ESRI Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics $21.69

Quantitative Geography: Perspectives on Spatial Data Analysis + ESRI Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics

Editorial Reviews

Review

`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

About the Author

Chris Brunsdon studied mathematics at the University of Durham before moving to the Department of Geography at Newcastle University where he remained for a number of years, until taking a Chair in the School of Computing at the University of Glamorgan, and subsequently a Chair in GIS at the University of Leicester. He is currently (as of July 1st) Professor of Human Geography in the School of Environmental Sciences at the University of Liverpool. His research interests include spatial statistics and statistical computing and spatial data visualisation. He has particular interest in applications of methods in the fields of health, crime and house prices.

Product Details

  • Paperback: 272 pages
  • Publisher: Sage Publications Ltd; 1 edition (May 2000)
  • Language: English
  • ISBN-10: 0761959483
  • ISBN-13: 978-0761959489
  • Product Dimensions: 9.6 x 6.7 x 0.6 inches
  • Shipping Weight: 1.1 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #531,497 in Books (See Top 100 in Books)

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5.0 out of 5 stars Spatial Data Explanations that you can actually comprehend, December 18, 2010
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L. Pharr "UT VOL 4 LSU" (Baton Rouge, Louisianna) - See all my reviews
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This review is from: Quantitative Geography: Perspectives on Spatial Data Analysis (Paperback)
This book is extremely well written and provides comprehendible details on the more advanced geographic concepts and mathematical equations. This book is not for a beginner in quantitative geography. However, if you are either a more advanced student of Geography professional who needs some help understand things such as point pattern analysis, global versus local point interpolation, Thiessen polygons, ect. then I highly recommend this book. This book is also great for more advance students taking a spatial statistics course and keep thinking, "What the heck is my professor talking about." This book can help students to understand the fundamental concepts in spatial statistics.
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Inside This Book (learn more)
First Sentence:
For many reasons, it is often difficult to write anything definitive about academic trends. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
spatial expansion method, competing destinations model, modern quantitative geography, rail buffer, spatial analysis functionality, spatial interaction modelling, unobservable information, spatial interaction models, analysing spatial data, geographically weighted regression, quantitative geographers, spatial kernel, spatial weighting function, exploratory spatial data analysis, point pattern analysis, areal unit problem, positive spatial autocorrelation, spatial data sets, probability that the customer, geographical analysis machine, misspecification bias, raster model, census wards, scatterplot matrices, spatial choice
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Census of Population, Monte Carlo, North Yorkshire, New Forest Park, North Pole, North-East England
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