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Handbook of Applied Spatial Analysis

Software Tools, Methods and Applications

  • Book
  • © 2010

Overview

Editors:
  1. Manfred M. Fischer

    1. Inst. Wirtschaftsgeographie und, Wirtschaftsuniversität Wien, Vienna, Austria

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    You can also search for this editor in PubMed   Google Scholar

  2. Arthur Getis

    1. Dept. Geography, San Diego State University, San Diego, U.S.A.

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • First comprehensive survey of most of the methods of spatial science
  • Well written and understandable
  • Features the very best scholars in the field
  • Includes supplementary material: sn.pub/extras

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Table of contents (36 chapters)

  1. Front Matter

    Pages I-XV
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  2. Introduction

    • Manfred M. Fischer, Arthur Getis
    Pages 1-24

  3. GI Software Tools

    1. Front Matter

      Pages 26-26
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  4. GI Software Tools

    1. Spatial Statistics in ArcGIS

      • Lauren M. Scott, Mark V. Janikas
      Pages 27-41

    2. Spatial Statistics in SAS

      • Melissa J. Rura, Daniel A. Griffith
      Pages 43-52

    3. Spatial Econometric Functions in R

      • Roger S. Bivand
      Pages 53-71

    4. GeoDa: An Introduction to Spatial Data Analysis

      • Luc Anselin, Ibnu Syabri, Youngihn Kho
      Pages 73-89

    5. STARS: Space-Time Analysis of Regional Systems

      • Sergio J. Rey, Mark V. Janikas
      Pages 91-112

    6. Space-Time Intelligence System Software for the Analysis of Complex Systems

      • Geoffrey M. Jacquez
      Pages 113-124

    7. Geostatistical Software

      • Pierre Goovaerts
      Pages 125-134

    8. GeoSurveillance: GIS-based Exploratory Spatial Analysis Tools for Monitoring Spatial Patterns and Clusters

      • Gyoungju Lee, Ikuho Yamada, Peter Rogerson
      Pages 135-150

    9. Web-based Analytical Tools for the Exploration of Spatial Data

      • Luc Anselin, Yong Wook Kim, Ibnu Syabri
      Pages 151-173

    10. PySAL: A Python Library of Spatial Analytical Methods

      • Sergio J. Rey, Luc Anselin
      Pages 175-193

  5. Spatial Statistics and Geostatistics

    1. Front Matter

      Pages 196-196
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  6. Spatial Statistics and Geostatistics

    1. The Nature of Georeferenced Data

      • Robert P. Haining
      Pages 197-217

    2. Exploratory Spatial Data Analysis

      • Roger S. Bivand
      Pages 219-254

    3. Spatial Autocorrelation

      • Arthur Getis
      Pages 255-278

    4. Spatial Clustering

      • Jared Aldstadt
      Pages 279-300

    5. Spatial Filtering

      • Daniel A. Griffith
      Pages 301-318

    6. The Variogram and Kriging

      • Margaret A. Oliver
      Pages 319-352
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Keywords

About this book

The Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field. The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included. This volume provides an accounting of the diversity of current and emergent approaches, not available elsewhere despite the many excellent journals and te- books that exist. Most of the chapters are original, some few are reprints from the Journal of Geographical Systems, Geographical Analysis, The Review of Regional Studies and Letters of Spatial and Resource Sciences. We let our contributors - velop, from their particular perspective and insights, their own strategies for m- ping the part of terrain for which they were responsible. As the chapters were submitted, we became the first consumers of the project we had initiated. We gained from depth, breadth and distinctiveness of our contributors’ insights and, in particular, the presence of links between them.

Reviews

From the reviews:

“The Handbook of Applied Spatial Analysis provides an important summary of, and gateway into, the rapidly developing field of spatial analysis. It aims to provide both a useful guide for researchers at all levels in spatial analytic fields and a basis for more in-depth research. … certainly fulfils the expectations set out in its blurb. It provides a thorough … insight into contemporary spatial analysis that many with an interest in this field will find useful.” (James Cheshire, Environment and Planning B: Planning and Design, Vol. 37, 2010)

“It provides a comprehensive introduction to a variety of problems and methods that may be beneficial to students and researchers who intend to learn and apply spatial analysis techniques in their studies and/or research. More importantly, the book provides valuable breadth and depth in its treatment of many topics. … suitable for readers without substantial prior knowledge of spatial analysis. A book with such a combination of topics and qualities is a pleasant and valuable addition to the rich literature in this area.” (Changshan Wu, Journal of Regional Science, Vol. 52 (2), 2012)

“The editors have done an excellent job to bring together conceptual knowledge and application pursuits while empowering readers with the information they need to find these resources and try some of the included techniques using the examples to guide them. The book will be attractive to higher level students and professionals … . There are not many books as up-to-date with such a wide coverage of spatial analysis tools and techniques along with supporting resource information.” (Jeff Thurston, Sensors & Systems, July, 2010)

Editors and Affiliations

  • Inst. Wirtschaftsgeographie und, Wirtschaftsuniversität Wien, Vienna, Austria

    Manfred M. Fischer

  • Dept. Geography, San Diego State University, San Diego, U.S.A.

    Arthur Getis

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