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Volumn , Issue , 2006, Pages 805-813

Maps are not what they seem: Representing uncertainty in soilproperty maps

Author keywords

Conditional simulations; Regression kriging; Spatial prediction error; Visualization

Indexed keywords

ENVIRONMENTAL ENGINEERING; FLOW VISUALIZATION; INTERPOLATION; MIXING; NATURAL RESOURCES; PIXELS; SOIL SURVEYS; SOILS; VISUALIZATION;

EID: 84959335053     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (15)
  • 1
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    • Bastin, L., Fisher, P.F. and Wood, J., 2002. Visualizing uncertainty in multi-spectral remotely sensed imagery. Computers & Geosciences, 28(3): 337-350.
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    • Bastin, L.1    Fisher, P.F.2    Wood, J.3
  • 3
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    • New Jersey: Hobart Press, Summit
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  • 6
    • 0032896846 scopus 로고    scopus 로고
    • Geostatistics in soil science: State-of - The-art and perspectives
    • Goovaerts, P., 1999. Geostatistics in soil science: State-of-the-art and perspectives. Geoderma, 89(1-2): 1-45.
    • (1999) Geoderma , vol.89 , Issue.1-2 , pp. 1-45
    • Goovaerts, P.1
  • 7
    • 24944555816 scopus 로고    scopus 로고
    • Visualisation of uncertainty using the HSI colour model: Computations with colours
    • 8-10 September 2003, Southampton (last accessed 12 May 2006)
    • Hengl, T., 2003. Visualisation of uncertainty using the HSI colour model: computations with colours. In Proceedings of the 7th International Conference on GeoComputation, 8-10 September 2003, Southampton, pp. 8, Available online at: www.geocomputation.org (last accessed 12 May 2006).
    • (2003) Proceedings of the 7th International Conference on GeoComputation , pp. 8
    • Hengl, T.1
  • 8
    • 1342309531 scopus 로고    scopus 로고
    • A double continuous approach to visualisation and analysis of categorical maps
    • Hengl, T., Walvoort, D.J.J., Brown, A., 2004a. A double continuous approach to visualisation and analysis of categorical maps. Int. Jou. of Geographical Information Science, 18(2): 183-202.
    • (2004) Int. Jou. of Geographical Information Science , vol.18 , Issue.2 , pp. 183-202
    • Hengl, T.1    Walvoort, D.J.J.2    Brown, A.3
  • 9
    • 1842583695 scopus 로고    scopus 로고
    • A generic framework for spatial prediction of soil variables based on regression-kriging
    • Hengl, T., Heuvelink, G.M.B. and Stein, A., 2004b. A generic framework for spatial prediction of soil variables based on regression-kriging. Geoderma, 122(1-2): 75-93.
    • (2004) Geoderma , vol.122 , Issue.1-2 , pp. 75-93
    • Hengl, T.1    Heuvelink, G.M.B.2    Stein, A.3
  • 11
    • 33846877098 scopus 로고    scopus 로고
    • Optimization of sample configuration for digital mapping of soil properties with universal kriging
    • P. Lagacherie, A.B. McBartney and M. Voltz (eds). Developments in Soil Science, Amsterdam: Elsevier
    • Heuvelink, G.B.M., Brus, D.J. and De Gruijter, J.J., 2006. Optimization of sample configuration for digital mapping of soil properties with universal kriging. In: P. Lagacherie, A.B. McBartney and M. Voltz (eds): Digital Soil Mapping: An Introductory Perspective. Developments in Soil Science, Amsterdam: Elsevier.
    • (2006) Digital Soil Mapping: An Introductory Perspective
    • Heuvelink, G.B.M.1    Brus, D.J.2    De Gruijter, J.J.3
  • 12
    • 0004255422 scopus 로고    scopus 로고
    • 2nd edition, Chicago: University of Chicago Press
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    • Monmonier, M.1
  • 13
    • 21544432195 scopus 로고    scopus 로고
    • The stochastic dimension in a dynamic GIS
    • J.G. Bethlehem, P.G.M. van der Heijden (eds). Heidelberg: Physica-Verlag
    • Pebesma, E.J., D. Karssenberg, K. de Jong, 2000. The stochastic dimension in a dynamic GIS. In: J.G. Bethlehem, P.G.M. van der Heijden (eds): Compstat 2000, Proceedings in Computational Statistics. Heidelberg: Physica-Verlag, pp. 379-384.
    • (2000) Compstat 2000, Proceedings in Computational Statistics , pp. 379-384
    • Pebesma, E.J.1    Karssenberg, D.2    De Jong, K.3
  • 14
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    • Multivariable geostatistics in S: The gstat package
    • Pebesma, E.J., 2004. Multivariable geostatistics in S: the gstat package. Computers & Geosciences, 30(7): 683-691.
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  • 15
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    • UNCERT: Geostatistics, uncertainty analysis and visualization software applied to groundwater flow and contaminant transport modeling
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    • Wingle, W.L.1    Poeter, E.P.2    McKenna, S.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.