GIS And Generalisation: Methodology And Practice / Edition 1

by J-P Lagrange, R Weibel, Jean-Claude Muller

Overview

This text is the inaugural book in Taylor and Francis's GISDATA series, and is derived from the specialist workshop convened under the auspices of the European Science Foundation's GISDATA Scientific Programme. Generalisation is an integrating tool for the analysis and presentation of spatial data. Effective spatial data analysis requires multiple views of the world at various scales with different thematic layers of representation. Generalisation is a key mechanism in this process, as it filters out information which is required for particular scales or layers; hence it is critical to implement full and comprehensive generalisation capabilities in a GIS, something with which few current GIS are equipped.; This book overviews the core and as-yet unresolved issues surrounding the achievement of this goal, and presents various alternatives - both speculative views and practical examples - in the areas of automated generalisation, vis-a-vis problems such as object simplification and placement. At the same time it distinguishes between modelling with generalisation and graphical representation, and adopts a model-building perspective. It also describes artificial intelligence techniques for implementing automated generalised routines, and addresses issues of data quality and production.; The text is organized into six parts: an introduction; generic issue; object-orientated methods and knowledge-based modelling; knowledge acquisition and representation; data quality; and operation and implementation.

Product Details

ISBN-13:	9780748403196
Publisher:	Taylor & Francis
Publication date:	04/20/1995
Series:	Gisdata Series
Pages:	276
Product dimensions:	7.00(w) x 10.00(h) x (d)

About the Author

J-P Lagrange (Edited by) , R Weibel (Edited by) , Jean-Claude Muller (University of Ruhr, Bochum, Germany) (Edited by)

Table of Contents

Generalisation: State of the Art and Issues; GIS-Based Compilation and Generalisation; Three Essential Building Blocks for Automated Generalisation; Data and Knowledge Modelling for Generalisation; Controlling the Effects of Generalisation on GIS Map Manipulations; A Hierarchical top-down bottom-up Approach to Topographic Map Generalisation.

Editorial Reviews

An introduction to geographical information systems (GIS) for planning and automated map production, written by academic and industrial professionals participating in the European Science Foundation's GIDATA Scientific Programme. The book overviews the key problems in "generalization" and automation, presenting alternatives and speculative solutions in object oriented methods. Discussions distinguish between modeling and graphical representation, describe artificial intelligence techniques for implementing automated generalization routines, and address the issues of data quality. Since no GIS is currently equipped with full generalization capabilities, these studies provide valuable information in uncharted territory. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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