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Bibliographic Details

Title: Data quality in geographic information: From error to uncertainty
Publisher: Hermes
Publication Date: 1998
Language: English
ISBN 10: 2866016572
ISBN 13: 9782866016579
Binding: Softcover
Condition: Tr�s bon

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Synopsis

GOODCHILD, M. / R. JEANSOULIN, EDS. DATA QUALITY IN GEOGRAPHIC INFORMATION. FROM ERROR TO UNCERTAINTY . PARIS, 1998, 192 p.,figuras. Encuadernacion original. Nuevo.

Synopsis

This text is a follow-up from the CASSINO International Workshop, held in Paris in April 1997. Most of the talks given by the attendees were then revised and written down to form the material for the chapters here. The object of the work is to cover the diverse aspects of the links between data quality in geographic information and its use in application models ("fitness for use"). The subtitle, "From Error to Uncertainty", indicates the interest that the authors had concerning the use of imperfect data, way beyond the co-ordinate precision description problem. The position of data quality information is addressed and argued by using several viewpoints; from category theory to non-monotonic logics, and from fuzzy computing to constraint programming. Various applications are used to illustrate the effects of data quality management on the general assessment of spatial analysis (the overall amplitude of the variables, spatial extension, spatial location of extremas, cost and decision-making aspects). Among these applications are: hydrology; pedology; digital terrain models and viewsheds; cadastre renovation; urban data updating (building areas); postal addresses; and more.

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