Haowen Yan Yan Description Approaches and Automated Generalization Algorithms for Groups of Map Objects

Description Approaches and Automated Generalization Algorithms for Groups of Map Objects

von Haowen Yan

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Beschreibung

This book focuses on the generalization of map features, providing descriptions and classifying groups of map objects into six categories: point clusters, groups of contours, road networks, river networks, continuous areal features and discrete areal features. Discussing the methods and algorithms in map generalization in equal measure, it also describes the approaches for describing map features.
The book is a valuable reference for graduates and researchers who are interested in cartography and geographic information science/systems, especially those in automated map generalization and spatial databases construction.


This book focuses on the generalization of map features, providing descriptions and classifying groups of map objects into six categories: point clusters, groups of contours, road networks, river networks, continuous areal features and discrete areal features. Discussing the methods and algorithms in map generalization in equal measure, it also describes the approaches for describing map features.

The book is a valuable reference for graduates and researchers who are interested in cartography and geographic information science/systems, especially those in automated map generalization and spatial databases construction.



Focuses equally on representation methods and the generalization algorithms of map objects Highlights the use of groups of map objects (instead of individual objects) when addressing map generalization Is the only book that focuses on map generalization in the last 5 years

Autor*in

Haowen Yan

Themen in »Description Approaches and Automated Generalization Algorithms for Groups of Map Objects«

Map generalization algorithms point clouds groups of contours river networks road networks categorical maps

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Details

ISBN: 9789811336775
Verlag: Springer Singapore
Erscheinung: 18.01.2019

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