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Book Title: Modelling Scale in Geographical Information Science

ISBN: 0471985465

Book Author(s): Nicholas J. Tate, Peter M. Atkinson (Editors)

Book Publisher: John Wiley & Sons Ltd

Date of Publication: 1 November 2001

Cost: 150 US$

Pages: 292



Scale has long been a fundamental concept in geography. Its importance is emphasised in geographical information science (GIScience) where the computational domain necessitates the rigorous definition and handling of scale. Geographical information systems are now used in almost every walk of life, but scale is often handled poorly in such systems. Modelling Scale in Geographical Information Science is written by an international team of contributors drawn from both industry and academia, and considers models and methods of scaling spatial data in both human and physical systems.
Divided into three sections to give a balanced coverage of the key problems, tools and models associated with scale:
  • Fractal Models
  • The Modifiable Areal Unit Problem
  • Changing the Scale of Measurement

This book is an essential read for all GIScience researchers, advanced students and practitioners who want to delve more deeply into the scale issues of the spatial data and spatial models that form the basis of their analyses.

List of Contributors

Foreword (Michael Batty)

Models of Scale and Scales of Modelling (Mchael F. Goodchild)

Fractal Characterization of Multitemporal Remote Sensing Data (Dale A. Quattrochi et al) Fractal and Scale Dependencies in Topography (Nicholas J. Tate and Jo Wood) Measuring the 'Urban':Measuring and Modelling a Regional Settlement Hierarchy (Victor Mesev and Paul A. Longley) The Multifractal Structure of the Human Population Distribution (Iqbal Adjali and Stephen Appleby)

Behaviour of Regression Models under Random Aggegation (Robin Flowerdew et al) Using Local Census Data to Investigate Scale Effects (Mark Tranmer and David Steel) Scale Issues and Geographically Weighted Regression (A. Stewart Fotheringham et al) Zone Design as a Spatial Analysis Tool (Seraphim Alvanides et al)

Measuring Scale Effects caused by Map Generalization and the Importance of Displacement (Elsa M. Joao) Modelling Wildlife Distribution from Multi-Scale Spatial Data with GIS (Richard J. Aspinall) Determining the Spatial Scale of Variation in Environmental Properties using the Variogram (Margaret A. Oliver) Scaling Up and Scaling Down: The Relevance of the Support Effect on Remote Sensing of Vegetation (Jennifer L. Dungan) Geostatistical Regularization in Remote Sensing (Peter M. Atkinson)

CONCLUSION Five Key Recommendations for GI Science (Peter M. Atkinson and Nicholas J. Tate)
Topic revision: r4 - 13 Aug 2010, TheresiaFreska
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