A conceptual framework for quantitative and qualitative raster-mode generalization

R. B. McMaster, M. Monmonier

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Spatial filters and other raster-mode generalization techniques have received a great deal of attention in the literature on geographic information systems. These techniques fall into four principal categories: (1) structural generalization, (2) numerical generalization, (3) numerical categorization, and (4) categorical generalization. With a focus on the visual effects of generalization, this paper identifies fundamental operators and both reviews and evaluates the variety of techniques used for generalizing raster-mode images. Additionally, it presents a conceptual framework for raster-mode generalization, which can guide the development of a generalization subsystem useful in GIS applications. -Authors

Original languageEnglish (US)
Pages (from-to)390-403
Number of pages14
JournalUnknown Journal
StatePublished - Jan 1 1989

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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