Generalisation of Geographic Information

Generalisation of Geographic Information

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Theoretical and Applied Solutions in Multi Scale Mapping Users have come to expect instant access to up-to-date geographical information, with global coverage--presented at widely varying levels of detail, as digital and paper products; customisable data that can readily combined with other geographic information. These requirements present an immense challenge to those supporting the delivery of such services (National Mapping Agencies (NMA), Government Departments, and private business. Generalisation of Geographic Information: Cartographic Modelling and Applications provides detailed review of state of the art technologies associated with these challenges, including the most recent developments in cartometric analysis techniques able to support high levels of automation among multi scale derivation techniques. The book illustrates the application of these ideas within existing and emerging technologies. In addition to providing a comprehensive theoretical underpinning, the book demonstrates how theoretical developments have translated into commercial systems deployed within NMAs. The book explores relevance of open systems in support of collaborative research and open source web based map services. * State of the art review on multi scale representation techniques * Detailed consideration of database requirements and object modeling in support of emerging applications (3D, mobile) and innovative delivery (map generalisation services) * Illustration through existing map production environment implementations * Consolidated bibliography (680 entries), 200 illustrations, author and subject indexThis was the form of the data used in this project, with the specific objective of making explicit the patterns found solely within network data. In the absence of topology and other structures, we used a graph theoretic network to represent the road network. ... the random graph (ErdAps and RAcnyi, 1960; BollobAis, 2001) and the scale free graph (BollobAis and Riordan, 2004) as two types of representation thatanbsp;...


Title:Generalisation of Geographic Information
Author: William A. Mackaness, Anne Ruas, L. Tiina Sarjakoski
Publisher:Elsevier - 2011-07-28
ISBN-13:

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