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GIS And Generalisation

Methodology And Practice

J-P Lagrange R Weibel Jean-Claude Muller etc.

$242

Paperback

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English
Taylor & Francis Ltd
20 April 1995
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.

Edited by:   , , ,
Imprint:   Taylor & Francis Ltd
Country of Publication:   United Kingdom
Volume:   v.1
Dimensions:   Height: 254mm,  Width: 178mm,  Spine: 14mm
Weight:   589g
ISBN:   9780748403196
ISBN 10:   0748403191
Pages:   276
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
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.

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

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