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An exploratory method for qualitative trend curve analysis - a robust method against low quality data 

Authors: Atsuyuki Okabe; Atsushi Masuyama
DOI: 10.1080/13658810010005516
Publication Frequency: 12 issues per year
Published in: journal International Journal of Geographical Information Science, Volume 15, Issue 1 January 2001 , pages 65 - 76
Number of References: 20
Formats available: PDF (English)
Previously published as: International journal of geographical information systems (0269-3798, 1362-3087) until 1996
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Abstract

This paper proposes an exploratory method for detecting qualitative change in trend curves that is robust against low quality data. First, a measure of qualitative similarity between trend curves is defined. Second, using this measure, a method of qualitative classification of trend curves and a method for detecting qualitative change in trend curves are developed. Last, these methods are applied to the analysis of land cover change in the Persian Gulf Area in 1982-1993, and advantages of these qualitative methods are shown in comparison with ordinary quantitative methods.
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