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:
International Journal of Geographical Information Science,
Volume
15,
Issue
1
January
2001
, pages 65
- 76
Subjects:
Cartography;
Computer Science (General);
Earth Sciences;
Geographic Information Systems;
Location Based Services;
Navigation;
Systems & Computer Architecture of Databases;
Topography;
Transport Geography;
Number of References: 20
Formats available:
PDF
(English)
Previously published as:
International journal of geographical information systems
(0269-3798,
1362-3087)
until 1996
View Article:
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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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