Toward a practicable model of cartographic generalisation.

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


A system for fully automatic cartographic generalisation must be able to deal with severe reductions in map scale by preserving the salient characteristics of geographic features while avoiding overlapping symbols. An 'intelligent database' treating features as assemblages of landscape units can further reduce the complexity of the generalisation algorithm. A hybrid data structure is needed to allow the algorithm to track features and detect overlap. A supervised approach affords a practicable means of choosing options and setting tolerances. -from Author

Original languageEnglish (US)
Pages (from-to)257-266
Number of pages10
JournalUnknown Journal
StatePublished - 1986

ASJC Scopus subject areas

  • General Environmental Science
  • General Earth and Planetary Sciences


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