Haowen Yan 
Description Approaches and Automated Generalization Algorithms for Groups of Map Objects [PDF ebook] 

Dukung


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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Daftar Isi

Introduction.- Description and generalization of point clustering features.- Description and generalization of contour lines.- Description and generalization of road networks.- Description and generalization of river networks.- Description and generalization of continuous areal features.- Algorithms for discrete areal feature generalization.- Concluding words.

Tentang Penulis

Professor Haowen Yan holds two Ph D 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 Geo Visualization 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.

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Bahasa Inggris ● Format PDF ● Halaman 228 ● ISBN 9789811336782 ● Ukuran file 7.9 MB ● Penerbit Springer Singapore ● Kota Singapore ● Negara SG ● Diterbitkan 2019 ● Diunduh 24 bulan ● Mata uang EUR ● ID 6805930 ● Perlindungan salinan DRM sosial

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