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Generalisation of Geographic Information: Cartographic Modelling and Applications (International Cartographic Association)
 
 

Generalisation of Geographic Information: Cartographic Modelling and Applications (International Cartographic Association) [Hardcover]

William A. Mackaness (Editor), Anne Ruas (Editor), L. Tiina Sarjakoski (Editor)

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Book Description

0080453740 978-0080453743 June 6, 2007 1
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 index

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
generalisation service, road network generalisation, map generalisation, incremental generalisation, graphic generalisation, generalisation software, multiple representation databases, digital generalisation, generalisation functionality, cartographic conflicts, generalisation operators, contextual generalisation, road generalisation, generalisation process, building generalisation, web mapping applications, generalised database, automatic generalisation, amplified intelligence, generalisation techniques, adaptive generalisation, generalisation tools, model generalisation, automated generalisation, human cartographer
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Elsevier Ltd, Generalisation of Geographic Information, Dam Other, Dam Beaver, Géographique National, Atlas of Canada, Portal Service, Open Geospatial Consortium, Integration Service, French National Mapping Agency, Presentation Service, Scalable Vector Graphics, University of Zurich, European Union, Nuuksio National Park, Point of Interest, University of Hannover, Web Feature Service, Workstation Arclnfo
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