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BL
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| Record Number
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891282
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| Main Entry
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Yan, Haowen
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| Title & Author
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Description approaches and automated generalization algorithms for groups of map objects /\ Haowen Yan.
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| Publication Statement
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Singapore :: Springer,, [2019]
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| Page. NO
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1 online resource
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| ISBN
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9789811336782
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: 9789811336799
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: 9811336784
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: 9811336792
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9789811336775
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9811336776
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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Intro; Preface; Contents; Chapter 1: Introduction; 1.1 Multi-scale Representation; 1.2 Digital Earth: Applications of Multi-scale Representation; 1.3 Automated Map Generalization: Implementation of Multi-scale Vector Map Databases; 1.4 Review of the Approaches to Describing Map Features and the Algorithms for Automated Map Generalization; 1.4.1 Approaches to Describing Map Features; 1.4.1.1 Approaches Based on Knowledge and Rules; 1.4.1.2 Approaches Based on Spatial Relations; 1.4.1.3 Approaches Based on Geometric Factors; 1.4.1.4 Approaches Based on Information Theory
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1.4.2 Algorithms for Automated Map Generalization1.4.2.1 Algorithms for Generalizing Individual Point Objects; 1.4.2.2 Algorithms for Generalizing Individual Linear Objects; 1.4.2.3 Algorithms for Generalizing Individual Areal Objects; 1.4.2.4 Algorithms for Generalizing Point Clusters; 1.4.2.5 Algorithms for Generalizing Linear Clusters/Networks; 1.4.2.6 Algorithms for Generalizing Areal Group Objects; 1.5 Scope of the Book; 1.6 Organization of the Book; References; Chapter 2: Description and Generalization of Point Clustering Features
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2.1 Multi-scale Representations of Point Clustering Features2.2 Types of Point Clustering Features on Maps; 2.3 Approached to Describing Point Clustering Features; 2.3.1 Information Contained in Point Clusters; 2.3.2 Measures for Types of Information Contained in Point Clusters; 2.4 Algorithms for Point Clustering Features Generalization; 2.4.1 Algorithms for Settlement Selection; 2.4.1.1 The Settlement-Spacing Ratio Algorithm; 2.4.1.2 The Distribution Coefficient Algorithm; 2.4.1.3 The Gravity-Modeling Algorithm; 2.4.1.4 The Circle-Growth Algorithm; 2.4.2 The Dot Map Simplification Algorithm
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2.4.3 The On-the-Fly Point Clustering Thematic Feature Generalization Algorithms2.4.4 The Voronoi-Based Algorithm; 2.5 Discussions; 2.6 Summary of the Chapter; References; Chapter 3: Description and Generalization of Contour Lines; 3.1 Definition and Characteristics of Contour Lines; 3.2 Contour Tree: A Representation of Groups of Contour Lines; 3.2.1 Analysis of the Problem; 3.2.2 Automatic Generation of Closed Contour Lines; 3.2.2.1 If the Contour Line Is Closed on the Map; 3.2.2.2 If the Contour Line Is Not Closed on the Map; 3.2.3 Construction of Contour Trees
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3.2.4 Detecting Topographic Terrain Lines by Means of Contour Trees3.2.4.1 Recognition of Spatial Relations Among Contour Lines by Contour Trees; 3.2.4.2 Calculation of Topographic Feature Points; Preprocessing Contour Lines by Convex Hulls; Obtaining Topographic Terrain Points by the One-Step Dougas-Peucker Algorithm; 3.2.4.3 Organization of Topographic Terrain Lines; 3.3 Description of Contour Lines by Topographic Terrain Lines; 3.3.1 Analysis of the Curvatures of a Singular Contour Line and Construction of Its Binary Tree; 3.3.2 Selection of Subsections of Valleys
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| Abstract
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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.
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| Subject
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Digital mapping.
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| Subject
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Digital mapping.
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| Subject
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SCIENCE-- Earth Sciences-- Geography.
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| Subject
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TECHNOLOGY ENGINEERING-- Cartography.
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| Dewey Classification
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526
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| LC Classification
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GA139
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