Handbook of Applied Spatial Analysis

Software Tools, Methods and Applications

  • Manfred M. Fischer
  • Arthur Getis

Table of contents

  1. Front Matter
    Pages I-XV
  2. Manfred M. Fischer, Arthur Getis
    Pages 1-24
  3. GI Software Tools

    1. Front Matter
      Pages 26-26
    2. Lauren M. Scott, Mark V. Janikas
      Pages 27-41
    3. Melissa J. Rura, Daniel A. Griffith
      Pages 43-52
    4. Roger S. Bivand
      Pages 53-71
    5. Luc Anselin, Ibnu Syabri, Youngihn Kho
      Pages 73-89
    6. Sergio J. Rey, Mark V. Janikas
      Pages 91-112
    7. Pierre Goovaerts
      Pages 125-134
    8. Luc Anselin, Yong Wook Kim, Ibnu Syabri
      Pages 151-173
    9. Sergio J. Rey, Luc Anselin
      Pages 175-193
  4. Spatial Statistics and Geostatistics

    1. Front Matter
      Pages 196-196
    2. Robert P. Haining
      Pages 197-217
    3. Roger S. Bivand
      Pages 219-254
    4. Arthur Getis
      Pages 255-278
    5. Jared Aldstadt
      Pages 279-300
    6. Daniel A. Griffith
      Pages 301-318
    7. Margaret A. Oliver
      Pages 319-352

About this book


Spatial data are an important source of scientific information.  The development of high capacity and fast desk and laptop computers and the concomitant creation of geographic information systems has made it possible to explore georeferenced or mapped data as never before. This Handbook summarizes, explains, and demonstrates the nature of current models, methods, and techniques particularly designed for the analysis of spatial data.  The book is designed to be a desk reference for all researchers just getting into the field of spatial data analysis as well as for seasoned spatial analysts.  Relevant references are given whenever possible to direct researchers to the most useful writings on the subject.

Unlike most compendia of this nature, the book starts out by exploring the available software for spatial analysis.  We focus on the tools that make analysis possible.  The volume then describes briefly but clearly the many techniques embodied in the fields of exploratory spatial data analysis, spatial statistics, geostatistics, and spatial econometrics.  In addition, attention is given to the methods used for the analysis of remotely sensed data.   Finally, a number of example sections are included that demonstrate the application of spatial analysis in the economic, environmental, and health sciences. The wide range of approaches described helps readers better understand their data and the techniques needed for spatial analysis.

The volume features contributions from the very best scholars in the field.  Their explanations are able to communicate the fundamental ideas of their subject area succinctly and accessibly.


ArcGIS Geoinformationssysteme Monitoring SAS atlas clustering data analysis geographic data statistical software

Editors and affiliations

  • Manfred M. Fischer
    • 1
  • Arthur Getis
    • 2
  1. 1.Inst. Wirtschaftsgeographie undWirtschaftsuniversität WienViennaAustria
  2. 2.Dept. GeographySan Diego State UniversitySan DiegoU.S.A.

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03647-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-642-03646-0
  • Online ISBN 978-3-642-03647-7
  • About this book