Algorithms for automated line generalization1 based on a natural principle of objective generalization

Zhilin Li; Stan Openshaw

doi:10.1080/02693799208901921

Algorithms for automated line generalization1 based on a natural principle of objective generalization

Zhilin Li, Stan Openshaw

Research output: Journal article publication › Journal article › Academic research › peer-review

168 Citations (Scopus)

Abstract

This article describes a new set of algorithms for localiy-adaptive line generalization based on the so-called natural principle of objective generalization. The drawbacks of existing methods of line generalization are briefly discussed and the algorithms described. The performance of these new methods is compared with benchmarks based on both manual cartographic procedures and a standard method found in many geographical information systems.

Original language	English
Pages (from-to)	373-389
Number of pages	17
Journal	International Journal of Geographical Information Systems
Volume	6
Issue number	5
DOIs	https://doi.org/10.1080/02693799208901921
Publication status	Published - 1 Jan 1992
Externally published	Yes

ASJC Scopus subject areas

Information Systems
Geography, Planning and Development
Library and Information Sciences
General Earth and Planetary Sciences

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10.1080/02693799208901921

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abstract = "This article describes a new set of algorithms for localiy-adaptive line generalization based on the so-called natural principle of objective generalization. The drawbacks of existing methods of line generalization are briefly discussed and the algorithms described. The performance of these new methods is compared with benchmarks based on both manual cartographic procedures and a standard method found in many geographical information systems.",

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Algorithms for automated line generalization1 based on a natural principle of objective generalization

Abstract

ASJC Scopus subject areas

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