GeoJournal Library

Neural Nets: Applications in Geography

Editors: Hewitson, B., Crane, R.G. (Eds.)

Buy this book

eBook $74.99
price for USA (gross)
  • ISBN 978-94-011-1122-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA
  • ISBN 978-94-010-4490-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Neural nets offer a fascinating new strategy for spatial analysis, and their application holds enormous potential for the geographic sciences. However, the number of studies that have utilized these techniques is limited. This lack of interest can be attributed, in part, to lack of exposure, to the use of extensive and often confusing jargon, and to the misapprehension that, without an underlying statistical model, the explanatory power of the neural net is very low. Neural Nets: Applications for Geography attacks all three issues; the text demonstrates a wide variety of neural net applications in geography in a simple manner, with minimal jargon.
The volume presents an introduction to neural nets that describes some of the basic concepts, as well as providing a more mathematical treatise for those wishing further details on neural net architecture. The bulk of the text, however, is devoted to descriptions of neural net applications in such broad-ranging fields as census analysis, predicting the spread of AIDS, describing synoptic controls on mountain snowfall, examining the relationships between atmospheric circulation and tropical rainfall, and the remote sensing of polar cloud and sea ice characteristics.
The text illustrates neural nets employed in modes analogous to multiple regression analysis, cluster analysis, and maximum likelihood classification. Not only are the neural nets shown to be equal or superior to these more conventional methods, particularly where the relationships have a strong nonlinear component, but they are also shown to contain significant explanatory power. Several chapters demonstrate that the nets themselves can be decomposed to illuminate causative linkages between different events in both the physical and human environments.

Table of contents (8 chapters)

  • Looks and Uses

    Hewitson, Bruce C. (et al.)

    Pages 1-9

  • Neural Networks and Their Applications

    Clothiaux, Eugene E. (et al.)

    Pages 11-52

  • Neuroclassification of Spatial Data

    Openshaw, Stan

    Pages 53-70

  • Self Organizing Maps — Application to Census Data

    Winter, Kevin (et al.)

    Pages 71-77

  • Predicting Snowfall from Synoptic Circulation: A Comparison of Linear Regression and Neural Network Methodologies

    McGinnis, David L.

    Pages 79-99

Buy this book

eBook $74.99
price for USA (gross)
  • ISBN 978-94-011-1122-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA
  • ISBN 978-94-010-4490-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Neural Nets: Applications in Geography
Editors
  • B. Hewitson
  • R.G. Crane
Series Title
GeoJournal Library
Series Volume
29
Copyright
1994
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-94-011-1122-5
DOI
10.1007/978-94-011-1122-5
Softcover ISBN
978-94-010-4490-5
Series ISSN
0924-5499
Edition Number
1
Number of Pages
XI, 196
Topics