The development in automated map generalization

Pao Yue-kong Library Electronic Theses Database

The development in automated map generalization

 

Author: Leung, Kwok-hung
Title: The development in automated map generalization
Degree: M.Sc.
Year: 2000
Subject: Cartography -- Automation
Cartography -- Data processing
Digital mapping
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Dept. of Land Surveying and Geo-Informatics
Pages: viii, 109 leaves : ill., maps (some col.) ; 31 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1532056
URI: http://theses.lib.polyu.edu.hk/handle/200/3716
Abstract: Generalization is a key element of cartography. Much research effort has been put on this topic. However, after the work of many decades, no single fully automated generalization system has yet been implemented. Even worse is that the prospect of full automation in generalization of geographic information is still uncertain. Of course, there is no doubt that part of the generalization process can be automated to certain degree. Many researchers reported that their methods or solutions had achieved new success in specific areas of application. This study reviews what have been done so far in automated map generalization and provides an overview on different issues of map generalization. The need for generalization in digital environment is firstly identified, followed by addressing the theoretical concepts so as to provide a background for further discussion. The strength and limitation of major approaches and techniques attempted are also discussed. So far, there is no commercial system that can perform fully automated generalization. The difficulties in developing a generalization system are investigated and those currently available systems are also introduced. The recent increasing use of GIS has brought worries about sources of error in maps, including those caused by generalization effects. This study addresses these quality issues and compares the generalization effects of manual and algorithmic methods. So far, very little has been reported about the development in digital generalization by the local mapping organization, i.e. the Survey and Mapping Office (SMO) of Lands Department. The SMO has completed the conversion of basic maps into digital form, and is now deriving other map products from this map database. This study covers an investigation of current SMO activities and also what SMO has been done in digital map generalization.

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