Skip to main navigation Skip to search Skip to main content

Toward quantitative measures for the semantic quality of polygon generalization

  • Tao Cheng
  • , Zhilin Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Map generalization changes the semantics and geometry of map objects according to the context defined by users. How to evaluate and ensure the quality of generalization has become a major issue in contemporary digital cartography. The change in semantics after generalization has been studied much less than the other two aspects (geometry and topology). This research investigates the effect of generalization operations on the semantics of map objects. A set of quantitative measures for semantic change is put forward. A case study of a land-use map is implemented to illustrate the practical usefulness of these proposed measures, with a merging operation as an example of polygon generalization. The results indicate that these measures are not only sound in theory but also meaningful in practice.
Original languageEnglish
Pages (from-to)135-147
Number of pages13
JournalCartographica
Volume41
Issue number2
DOIs
Publication statusPublished - 1 Jun 2006

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Generalization
  • Measures
  • Quality assessment
  • Semantics

ASJC Scopus subject areas

  • Earth-Surface Processes

Fingerprint

Dive into the research topics of 'Toward quantitative measures for the semantic quality of polygon generalization'. Together they form a unique fingerprint.

Cite this