Using semantic similarity metrics to uncover category and land cover change

  • Authors:
  • Ola Ahlqvist

  • Affiliations:
  • Department of Geography, The Ohio State University, Columbus, OH

  • Venue:
  • GeoS'05 Proceedings of the First international conference on GeoSpatial Semantics
  • Year:
  • 2005

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Abstract

Analysis of geographic data that uses a nominal measurement framework is problematic since it limits the possible analytic methods that can be applied. Land cover change analysis is an example of this where both the actual change analysis as well as classification changes over time can be problematic. This study illustrates the use of semantic similarity metrics on parameterized category definitions, and how these metrics can be used to assess land cover change over time as a degree of perceived change with respect to the original landscape state. It also illustrates how changes of the categories, the classification system, over time can be analyzed using semantic similarity measures.