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

Zhilin Li, Stan Openshaw

Research output: Journal article publicationJournal articleAcademic researchpeer-review

137 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 languageEnglish
Pages (from-to)373-389
Number of pages17
JournalInternational Journal of Geographical Information Systems
Volume6
Issue number5
DOIs
Publication statusPublished - 1 Jan 1992
Externally publishedYes

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development
  • Library and Information Sciences
  • Earth and Planetary Sciences(all)

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