The Potential of Fuzzy Logic for Quantitative Land Cover Change Analysis Basing on Historical Topographic Maps
Abstract
This paper describes an approach that allows to reduce error propagation when comparing historical topographic maps. By linking the fuzzy set theory with simple map algebra and Kappa statistics, the uncertainty resulting from dissimilar quality of the maps can at least be partly eliminated and a distinction between ‘true’ and ‘false’ land cover changes can be made.
Language: English
Page range: 231 - 240
Published on: Aug 13, 2012
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2012 Maria Zachwatowicz, published by Faculty of Geography and Regional Studies, University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.