Spatial Statistics and Models

  • Gary L. Gaile
  • Cort J. Willmott

Part of the Theory and Decision Library book series (TDLU, volume 40)

Table of contents

  1. Front Matter
    Pages i-x
  2. Spatial Statistics

    1. Front Matter
      Pages 1-1
    2. Daniel A. Griffith
      Pages 3-15
    3. Peter Gould
      Pages 17-32
    4. Michael F. Goodchild
      Pages 33-53
    5. R. Keith Semple, Milford B. Green
      Pages 55-79
    6. Robert C. Balling Jr.
      Pages 81-108
    7. Harold Moellering
      Pages 109-132
    8. Donald S. Shepard
      Pages 133-145
    9. Frits P. Agterberg
      Pages 147-171
    10. James E. Burt
      Pages 173-190
    11. Gary L. Gaile
      Pages 223-233
    12. Robert J. Bennett
      Pages 235-251
    13. John H. Schuenemeyer
      Pages 253-270
    14. Richard S. Jarvis
      Pages 271-291
    15. Robert F. Austin
      Pages 293-312
  3. Spatial Models

    1. Front Matter
      Pages 313-313
    2. Andrew R. Pickles, Richard B. Davies
      Pages 321-343
    3. James O. Huff
      Pages 345-366
    4. Eric S. Sheppard
      Pages 367-388
    5. Roger W. White
      Pages 389-416
    6. John N. Rayner
      Pages 417-442
  4. Back Matter
    Pages 461-484

About this book


The quantitative revolution in geography has passed. The spirited debates of the past decades have, in one sense, been resolved by the inclusion of quantitative techniques into the typical geographer's set of methodological tools. A new decade is upon us. Throughout the quantitative revolution, geographers ransacked related disciplines and mathematics in order to find tools which might be applicable to problems of a spatial nature. The early success of Berry and Marble's Spatial Analysis and Garrison and Marble's volumes on Quantitative Geog­ raphy is testimony to their accomplished search. New developments often depend heavily on borrowed ideas. It is only after these developments have been established that the necessary groundwork for true innovation ob­ tains. In the last decade, geographers significantly -augmented their methodologi­ cal base by developing quantitative techniques which are specifically directed towards analysis of explicitly spatial problems. It should be pointed out, however, that the explicit incorporation of space into quantitative techniques has not been the sole domain of geographers. Mathematicians, geologists, meteorologists, economists, and regional scientists have shared the geo­ grapher's interest in the spatial component of their analytical tools.


development inclusion innovation mathematics nature revolution statistics

Editors and affiliations

  • Gary L. Gaile
    • 1
  • Cort J. Willmott
    • 2
  1. 1.Department of GeographyUniversity of ConnecticutStorrsUSA
  2. 2.Department of GeographyUniversity of DelawareNewarkUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 1984
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-8385-2
  • Online ISBN 978-94-017-3048-8
  • Buy this book on publisher's site
Industry Sectors
Chemical Manufacturing
Consumer Packaged Goods