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Perspectives on Spatial Data Analysis

  • Book
  • © 2010

Overview

Editors:
  1. Luc Anselin

    1. School of Geographical Sciences, Arizona State University, Tempe, U.S.A.

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    You can also search for this editor in PubMed   Google Scholar

  2. Sergio J. Rey

    1. School of Geographical Sciences, Arizona State University, Tempe, U.S.A.

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Advances in Spatial Science (ADVSPATIAL)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Spatial Analysis

    1. Front Matter

      Pages 22-22
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    2. Perspectives on Spatial Data Analysis

      • Luc Anselin, Sergio J. Rey
      Pages 1-20

    3. Spatial Interaction and Spatial Autocorrelation: A Cross-Product Approach

      • Arthur Getis
      Pages 23-33

    4. Spatial Statistical Analysis and Geographic Information Systems

      • Luc Anselin, Arthur Getis
      Pages 35-47

    5. Whose Hand on the Tiller? Revisiting “Spatial Statistical Analysis and GIS”

      • Michael F. Goodchild
      Pages 49-59

    6. Spatial Interaction and Spatial Autocorrelation

      • Manfred M. Fischer, Martin Reismann, Thomas Scherngell
      Pages 61-79

  3. Pattern Analysis

    1. Front Matter

      Pages 82-82
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    2. Second-Order Analysis of Point Patterns: The Case of Chicago as a Multi-center Urban Region

      • Arthur Getis
      Pages 83-92

    3. Second-Order Neighborhood Analysis of Mapped Point Patterns

      • Arthur Getis, Janet Franklin
      Pages 93-100

    4. A Class of Local and Global K Functions and Their Exact Statistical Methods

      • Atsu Okabe, Barry Boots, Toshiaki Satoh
      Pages 101-112

    5. Spatial Point Pattern Analysis of Plants

      • Janet Franklin
      Pages 113-123

  4. Local Statistics

    1. Front Matter

      Pages 126-126
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    2. The Analysis of Spatial Association by Use of Distance Statistics

      • Arthur Getis, J. Keith Ord
      Pages 127-145

    3. Constructing the Spatial Weights Matrix Using a Local Statistic

      • Arthur Getis, Jared Aldstadt
      Pages 147-163

    4. Spatial Autocorrelation: A Statistician’s Reflections

      • J. Keith Ord
      Pages 165-180

    5. Health Surveillance Around Prespecified Locations Using Case-Control Data

      • Peter A. Rogerson
      Pages 181-188
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Keywords

About this book

Spatial data analysis has seen explosive growth in recent years. Both in mainstream statistics and econometrics as well as in many applied ?elds, the attention to space, location, and interaction has become an important feature of scholarly work. The methodsdevelopedto dealwith problemsofspatialpatternrecognition,spatialau- correlation, and spatial heterogeneity have seen greatly increased adoption, in part due to the availability of user friendlydesktopsoftware. Throughhis theoretical and appliedwork,ArthurGetishasbeena majorcontributing?gureinthisdevelopment. In this volume, we take both a retrospective and a prospective view of the ?eld. We use the occasion of the retirement and move to emeritus status of Arthur Getis to highlight the contributions of his work. In addition, we aim to place it into perspective in light of the current state of the art and future directions in spatial data analysis. To this end, we elected to combine reprints of selected classic contributions by Getiswithchapterswrittenbykeyspatialscientists.Thesescholarswerespeci?cally invited to react to the earlier work by Getis with an eye toward assessing its impact, tracing out the evolution of related research, and to re?ect on the future broadening of spatial analysis. The organizationof the book follows four main themes in Getis’ contributions: • Spatial analysis • Pattern analysis • Local statistics • Applications For each of these themes, the chapters provide a historical perspective on early methodological developments and theoretical insights, assessments of these c- tributions in light of the current state of the art, as well as descriptions of new techniques and applications.

Reviews

From the reviews:

“This book belongs is ‘an informed readership in universities, research organisations, and policy-making institutions throughout the world’. … this volume, with its retrospective flavour, presents a friendlier face. … provides a more accessible context for the demanding papers because many key ideas are introduced and developed from first principles in the original papers by Gertis. … the book is ‘ideal for advanced seminars and courses’. … provide useful additional reading for an advanced class in spatial analysis.” (David O’Sullivan, Environment and Planning B: Planning and Design, Vol. 38, 2011)

“The book is a tribute to the methodological contributions of Professor Arthur Getis in spatial and point pattern analysis and the development of local statistics. … provide researchers and advanced students a historical background of Professor Getis’s impact on modern spatial and point pattern data analysis, as well as new directions, including data driven approaches for specifying neighbours, spatial filtering models, and spatial interaction modelling. … This volume will be most appreciated by applied researchers and advanced students of spatial data analysis.” (Dayton M. Lambert, Papers in Regional Science, Vol. 91 (1), March, 2012)

Editors and Affiliations

  • School of Geographical Sciences, Arizona State University, Tempe, U.S.A.

    Luc Anselin, Sergio J. Rey

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