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References

  • Ahlqvist O, Keukelaar J, Oukbir K (2000) Rough classification and accuracy assessment. Int J Geogr Inf Sci 14:475–496

    Article  Google Scholar 

  • Ahlqvist O, Keukelaar J, Oukbir K (2003) Rough and fuzzy geographical data integration. Int J Geogr Inf Sci 17:223–234

    Article  Google Scholar 

  • Bezdek JC, Ehrlich R, Full W (1984) FCM: the fuzzy C-mean clustering algorithm. Comput Geosci 10:191–203

    Article  Google Scholar 

  • Brown DG (1998) Classification and boundary vagueness in mapping presettlement forest types. Int J Geogr Inf Sci 12:105–129

    Article  Google Scholar 

  • Burrough PA (1989) Fuzzy mathematical methods for soil survey and land evaluation. J Soil Sci 40:477–492

    Article  Google Scholar 

  • Burrough PA (1996) Natural objects with indeterminate boundaries. In: Burrough PA, Frank AU (eds) Geographic objects with indeterminate boundaries. Taylor & Francis, London, pp 3–28

    Google Scholar 

  • Canters F (1997) Evaluation the uncertainty of area estimates derived from fuzzy land-cover classification. Photogramm Eng Rem S 63:403–414

    Google Scholar 

  • Chang N (2005) Sustainale water resources management under uncertainty. Stoch Env Res Risk A 19:97–98

    Article  Google Scholar 

  • Cheng T (1999) A process-oriented data model for fuzzy spatial objects. PhD thesis, Wageningen Agriculture University/ITC, Enschede, The Netherlands

    Google Scholar 

  • Cheng T (2002) Fuzzy spatial objects, their change and uncertainties. Photogramm Eng Rem S 68:41–49

    Google Scholar 

  • Cheng T, Fisher P, Li Z (2004) Double vagueness: effect of scale on the modeling of fuzzy spatial objects. In: Fisher PF (ed) Developments in spatial data handling, proceedings of the 11th International Symposium on spatial data handling (SDH2004), pp 299–313

    Google Scholar 

  • Cheng T, Molenaar M (1999a) Objects with fuzzy spatial extent. Photogramm Eng Rem S 65:797–801

    Google Scholar 

  • Cheng T, Molenaar M (1999b) Diachronic analysis of fuzzy objects. GeoInformatica 3:337–356

    Article  Google Scholar 

  • Cheng T, Molenaar M, Bouloucos T (1997) Identification of fuzzy objects from field observation data. In: Hirtle SC, Frank AU (eds) Spatial information theory: a theoretical basis for GIS, lecture notes in Computer Sciences, vol 1329. Spring-Verlag, Berlin, pp 241–259

    Google Scholar 

  • Cheng T, Molenaar M, Lin H (2001) Formalization and application of fuzzy objects. Int J Geogr Inf Sci 15:27–42

    Article  Google Scholar 

  • Chi Z, Wu J, Yan H (1995) Handwritten numeral recognition using self-organizing maps and fuzzy rules. Pattern Recogn 28:59–66

    Article  Google Scholar 

  • Chi Z, Yan H (1995) Image Segmentation using fuzzy rules derived from K-means clusters. J Electron Imaging 4:199–206

    Article  Google Scholar 

  • De Graaff LWS (1977) Het Strand: De Relatie Tussen Processen, Materialen en Vormen. en Een Proeve van Terminologie-Gebruik, Koninklijl Nederlands Aardrijkskundig Genootschap Geografisch Tijdschrift, Nieuwereeks XI, Nr. 1, pp 47–67

    Google Scholar 

  • De Ruig JHM, Louisse CJ (1991) Sand budget trends and changes along the Holland coast. J Coastal Res 7:1013–1026

    Google Scholar 

  • Dilo A (2006) Representation of and reasoning with vagueness in spatial information - a system for handling vague objects. PhD thesis, Wageningen Agriculture University/ITC, Enschede, The Netherlands

    Google Scholar 

  • Fisher P (2000) Sorites paradox and vague geographies. Fuzzy Set Syst 113:7–18

    Article  Google Scholar 

  • Fisher P (2003) Data quality and uncertainty: ships passing the night! In: Shi W, Goodchild M, Fisher P (eds) Proceedings of the 2nd International Symposium on spatial data quality, pp 17–22

    Google Scholar 

  • Fisher P, Wood J, Cheng T (2007) Higher order vagueness in a dynamic landscape: multi-resolution morphometric analysis of a coastal dunefield. J Env Inform 9:56–70

    Article  Google Scholar 

  • Foody GM (1999) The continuum of classification fuzziness in thematic mapping. Photogramm Eng Rem S 65:443–451

    Google Scholar 

  • Galton A (1997) Continuous change in spatial regions. In: Hirtle SC, Frank AU (eds) Spatial information theory: a theoretical basis for GIS, lecture notes in computer sciences, vol 1329. Spring-Verlag, Berlin, pp 1–13

    Chapter  Google Scholar 

  • Guilbert E, Lin H (2007) A new model for cloud tracking and analysis on satellite images. GeoInformatica 11:287–309

    Article  Google Scholar 

  • Heuvelink GBM, Burrough PA, Stein A (2006a) Developments in analysis of spatial uncertainty since 1989. In: Fisher PF (ed) Classics from IJGIS: 20 years of the international journal of geographical information science and systems. CRC, Boca Raton, pp 91–95

    Google Scholar 

  • Heuvelink GBM, Burrough PA, Stein A (2006b) Propagation of errors in spatial modelling with GIS. In: Fisher PF (ed) Classics from IJGIS: 20 years of the international journal of geographical information science and systems. CRC, Boca Raton, pp 67–89

    Google Scholar 

  • ICZM (2007) http://www.ikzm-oder.de/en/was_ist_ikzm.html (Last access on 10 June 2008)

  • Leung Y, Ma JH, Goodchild MF (2004) A general framework for error analysis in measurement-based GIS Part 1: the basic measurement-error model and related concepts. J Georgr Syst 6:325–354

    Article  Google Scholar 

  • Lillesand TM, Kiefer RW (1994) Remote sensing and image interpretation, 3rd edn. John Wiley, Chichester

    Google Scholar 

  • Lowell K, Groeve TD, Thierry B (2000) Combining map geometry and polygon attributes to estimating spatial uncertainty from multiple realizations. In: Forer P, Yeh AGO, He J (eds) Proceedings of the 9th international symposium on spatial data handling-SDH2000. Beijing, 10–12 August, pp 5a.32–43

    Google Scholar 

  • Mandelbrot B (1983) The fractal geometry of nature. W.H. Freeman, New York

    Google Scholar 

  • Mannan B, Roy J, Ray AK (1998) Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images. Int J Remote Sens 19:767–774

    Article  Google Scholar 

  • Molenaar M (1998) An introduction to the theory of spatial object modelling for GIS. Taylor & Francis, London

    Google Scholar 

  • Reineck HE, Singh IB (1980) Depositional sedimentary environments, 2nd edn. Springer Verleg, Berlin

    Google Scholar 

  • Robinson VB (2003) Fuzzy sets in geographical information systems. T in GIS 7:3–30

    Article  Google Scholar 

  • Ruessink BG, Kroon A (1994) The behaviour of a multiple bar system in the nearshore zone of Terschelling, The Netherlands: 1965–1993. Inl J Marine Geology, Geochemistry and Geophysics 121:187–197

    Google Scholar 

  • Sun CT, Jang JS (1993) A neuro-fuzzy classifier and its applications. Proceedings of the 2nd IEEE international conference on fuzzy systems. San Francisco, USA, pp 94–98

    Google Scholar 

  • Usery EL (1996) A conceptual framework and fuzzy set implementation for geographic feature. In: Burrough PA, Frank AU (eds) Geographic objects with indeterminate boundaries. Taylor & Francis, London, pp 71–85

    Google Scholar 

  • Van de Vlag DE, Stein A (2006) Modeling dynamic beach objects using spatio-temporal ontologies. J Environ Informatics 8:22–33

    Article  Google Scholar 

  • Van Heuvel T, Hillen R (1994) Coastline management, internal publication of Directorate-Generla for public works and water management, the Dutch Ministry of Transport, Public Works and Water Management

    Google Scholar 

  • Van Zuidam RA, Farifteh J, Eleveld M, Cheng T (1998) Research in remote sensing, dynamic models and GIS applications for integrated coastal zone management. J Coastal Cons 4:191–202

    Article  Google Scholar 

  • Van Zuidam RA, van Ploh C, van Genderen JL (1994) Synergy of remotely sensed data for coastal environmental studies: the Ameland-Waddensea example, northern Netherlands. Proceedings of the 2nd thematic conferences on remote sensing for marine and coastal environments. New Orleans, Louisiana, USA, pp I-323–334

    Google Scholar 

  • Wang F, Hall G (1996) Fuzzy representation of geographical boundaries in GIS. Int J Geogr Inf Syst 10:573–590

    Article  Google Scholar 

  • Wickham JD, O’Neil RV, Ritters KH, Wade TG, Jones KB (1997) Sensitivity of selected landscape pattern matrics to land-cover misclassification and differences in land-cover composition. Photogramm Eng Rem S 63:397–402

    Google Scholar 

  • Woodcock C, Gopal S (2000) Fuzzy set theory and thematic maps: accuracy assessment and area estimation. Int J Geogr Inf Syst 14:153–172

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inform Control 8:338–353

    Article  Google Scholar 

  • Zang JX, Goodchild MF (2002) Uncertainty in Geographical Information, Taylor and Francis, New York

    Google Scholar 

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Cheng, T., Molenaar, M., Stein, A. (2009). Fuzzy Approach for Integrated Coastal Zone Management. In: Yang, X. (eds) Remote Sensing and Geospatial Technologies for Coastal Ecosystem Assessment and Management. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88183-4_4

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