© 2019

Description Approaches and Automated Generalization Algorithms for Groups of Map Objects

  • 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


Table of contents

About this book


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.


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

Authors and affiliations

  1. 1.Faculty of GeomaticsLanzhou Jiaotong UniversityLanzhouChina

About the authors

Professor Haowen Yan holds two PhD degrees and is a Distinguished Professor of Changjiang Scholar. He has been awarded membership of the “National Young and Middle-aged Innovative Talents” and the “Million Talents Plan” of China. He is also the editor-in-chief of the Journal of GeoVisualization and Spatial Analysis published by Springer-Nature.

Haowen Yan studied at Wuhan University, the Information Engineering University of PLA of China, Hongkong Polytechnic University, University of Zurich, University of Waterloo and Old Dominion University. He has published 12 books, 5 of which are in English. He is the first author of 56 papers, holds 6 patents, has chaired 12 academic conferences and has completed 36 research projects as principal investigator.

Bibliographic information

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