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Double vagueness: uncertainty in multi-scale fuzzy assignment of duneness

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Geo-spatial Information Science

Abstract

In the automation of identification of landscape features the vagueness arises from the fact that the attributes and parameters that make up a landscape vary over space and scale. In most of existing studies, these two kinds of vagueness are studied separately. This paper investigates their combination in identification of coast landscape units. Fuzzy set theory is used to describe the vagueness of geomorphic features due to the continuity in space. The vagueness resulted from the scale of measurement is evaluated by statistic indicators. The differences of fuzzy objects derived from data at differing resolutions (in size from 3×3 cells to 25×25 cells) are studied in order to examine these higher-order uncertainties.

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References

  1. Cheng T, Molenaar M (1999) Objects with fuzzy spatial extent:Photogrammetric Engineering and Remote Sensing, 65:797–801

    Google Scholar 

  2. Wood J (1996) The geomorphological characterisation of digital elevation models. http://www.soi.city.ac.uk/~jwo/phd

  3. Foody G M (2002) Status of land cover classification accuracy assessment.Remote Sensing of Environment, 80:185–201

    Article  Google Scholar 

  4. Wang F, Hall G B (1996) Fuzzy representation of geographical boundaries in GIS.International Journal of Geographical Information Systems, 10:573–590

    Google Scholar 

  5. Li Z L, Openshaw S (1993) A natural principle for objective generalisation of digital map data.Cartography and Geographic Information System, 20:19–29

    Article  Google Scholar 

  6. Marceau D J (1999) The scale issue in the social and natural sciences.Canadian Journal of Remote Sensing, 25:347–356

    Google Scholar 

  7. Wu J, Qi Y (2000) Dealing with scale in landscape analysis: an overview.Geographic Information Sciences, 6:1–5

    Google Scholar 

  8. Cheng T (2002) Fuzzy spatial objects, their change and uncertainties.Photogrammetric Engineering and Remote Sensing, 68:41–49

    Google Scholar 

  9. Ankqvist O, Keukelaar J, Oukbir K (2000) Rough classification and accuracy assessment.International Journal of Geographical Information Science, 14:475–496

    Article  Google Scholar 

  10. Ahkqvist O, Keukelaar J, Oukbir K (2003) Rough and fuzzy geographical data integration.International Journal of Geographical Information Science, 17:223–234

    Article  Google Scholar 

  11. Zadeh L A (1965) Fuzzy sets.Information and Control, 8:338–353

    Article  Google Scholar 

  12. Usery E L (1996) A conceptual framework and fuzzy set implementation for geographic feature. In: Burrough P A, Frank A U, eds.Geographic Objects with Indeterminate Boundaries. London: Taylor & Francis. 71–85

    Google Scholar 

  13. Burrough P A, van Gaans P F M, MacMillan R A (2000) High-resolution landform classification using fuzzyk-means.Fuzzy Sets and Systems, 113:37–52

    Article  Google Scholar 

  14. Mackay D S, Samanta S, Ahl D E, et al. (2003) Automated parameterization of land surface process models using fuzzy logic.Transactions in GIS, 7:139–153

    Article  Google Scholar 

  15. Brassel K E, Weibel R (1988) A review and conceptual framework for automated map generalisation.International Journal of Geographical Information Systems, 2:229–244

    Article  Google Scholar 

  16. Wu J, Jelinski D E, Luck M (2000) Multiscale analysis of landscape heteorgeneity: scale variance and pattern metrics.Geographic Information Sciences, 6:6–19

    Google Scholar 

  17. Francis J M, Kopatek J M (2000) Multiscale effects of grain size on landscape pattern analysis.Geographic Information Sciences, 6:27–37

    Google Scholar 

  18. Fotheringham A S, Wong D W S (1991) The modifiable areal unit problem in statistical analysis.Environment and Planning, 23:1025–1044

    Article  Google Scholar 

  19. Jelinski D E, Wu J (1996) The modifiable area unit problem and implications for landscape.Landscape Ecology, 11:129–140

    Article  Google Scholar 

  20. He H S, Venturta S J, Mladenoff D J (2002) Effects of spatial aggregation approaches on classified satellite imagery.International Journal of Geographical Information Science, 16:93–109

    Article  Google Scholar 

  21. Wood J (2003) Landserf: visualisation and analysis of terrain models. http://www.soi.city.ac.uk/~jwo/landserf/

  22. Tate N, Atkinson P (2001) Modelling scale in geographical information science. Chichester: Jone Wiley & Sons.

    Google Scholar 

  23. Cheng T, Molenaar M, Bouloucos T (1997) Identification of fuzzy objects from field observation data. In: Hirtle S C, Frank A U, eds.Spatial Information Theory: A Theoretical Basis for GIS, Lecture Notes in Computer Sciences. Berlin: Spring-Verlag. 241–259

    Google Scholar 

  24. Hay G J, Blaschke T, Marceau D J, et al. (2003) A comparision of three image-object methods for the multiscale analysis of landscape structure.ISPRS Journal of Photogrammetry & Remote Sensing, 57:327–345

    Article  Google Scholar 

  25. Robinson V B (2003) A perspective on the fundamentals of fuzzy sets and their use in geographic information systems.Transactions in GIS, 7:3–30

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Land Surveying and GeoInformatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China

    Cheng Tao, Pete Fisher & Li Zhilin

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  1. Cheng Tao
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  2. Pete Fisher
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  3. Li Zhilin
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Correspondence to Cheng Tao.

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Tao, C., Fisher, P. & Zhilin, L. Double vagueness: uncertainty in multi-scale fuzzy assignment of duneness. Geo-spat. Inf. Sci. 7, 58–66 (2004). https://doi.org/10.1007/BF02826677

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  • DOI: https://doi.org/10.1007/BF02826677

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