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Volumn , Issue , 2016, Pages 289-321

Stochastic simulation of soil variations

Author keywords

[No Author keywords available]

Indexed keywords

STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

EID: 85016616302     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter
Times cited : (11)

References (35)
  • 1
    • 0034983535 scopus 로고    scopus 로고
    • Modelling soil variation: Past, present, and future
    • GBM Heuvelink, R Webster. Modelling soil variation: past, present, and future. Geoderma 100: 269-301, 2001.
    • (2001) Geoderma , vol.100 , pp. 269-301
    • Heuvelink, G.B.M.1    Webster, R.2
  • 3
    • 0016090939 scopus 로고
    • Geostatistics for conditional simulation of orebodies
    • AG Journel. Geostatistics for conditional simulation of orebodies. Econ Geol 69: 673-687, 1974.
    • (1974) Econ Geol , vol.69 , pp. 673-687
    • Journel, A.G.1
  • 4
    • 0027881036 scopus 로고
    • The indicator approach to categorical soil data. II. Application to mapping and land use suitability analysis
    • MFP Bierkens, PA Burrough. The indicator approach to categorical soil data. II. Application to mapping and land use suitability analysis. J Soil Sci 44: 369-381, 1993.
    • (1993) J Soil Sci , vol.44 , pp. 369-381
    • Bierkens, M.F.P.1    Burrough, P.A.2
  • 5
    • 0032766689 scopus 로고    scopus 로고
    • Selecting panels for remediation in contaminated soils via stochas tic imaging
    • EY Baafi, NA Schofield, Eds. Kluwer, Dordrecht, Netherlands
    • PC Kyriakidis. Selecting panels for remediation in contaminated soils via stochas tic imaging. In Geostatistics Wollongong '96, Vol. 2, EY Baafi, NA Schofield, Eds. Kluwer, Dordrecht, Netherlands, 1997, pp. 973-983.
    • (1997) Geostatistics Wollongong '96 , vol.2 , pp. 973-983
    • Kyriakidis, P.C.1
  • 6
    • 0033150611 scopus 로고    scopus 로고
    • Quantification of the effects of spatially varying environmental contaminants into a cost model for soil remedia tion
    • MJ Broos, L Aarts, CF van Tooren, A Stein. Quantification of the effects of spatially varying environmental contaminants into a cost model for soil remedia tion. J Environ Manage 56: 133-145, 1999.
    • (1999) J Environ Manage , vol.56 , pp. 133-145
    • Broos, M.J.1    Aarts, L.2    van Tooren, C.F.3    Stein, A.4
  • 7
    • 0034881809 scopus 로고    scopus 로고
    • Geostatistical modelling of uncertainty in soil science
    • P Goovaerts. Geostatistical modelling of uncertainty in soil science. Geoderma 103: 3-26, 2001.
    • (2001) Geoderma , vol.103 , pp. 3-26
    • Goovaerts, P.1
  • 8
    • 85051447194 scopus 로고    scopus 로고
    • Comparison of geostatistical simulation approaches for estimating the spatial uncertainty of soil texture
    • P Monestiez et al., Eds. Kluwer, Dordrecht, Netherlands
    • S Druck Fuks, M Voltz. Comparison of geostatistical simulation approaches for estimating the spatial uncertainty of soil texture. In geoENV III: Geostatistics for Environmental Applications, Vol. 1, P Monestiez et al., Eds. Kluwer, Dordrecht, Netherlands, 2001, pp. 463-474.
    • (2001) GeoENV III: Geostatistics for Environmental Applications , vol.1 , pp. 463-474
    • Druck Fuks, S.1    Voltz, M.2
  • 10
    • 4344612004 scopus 로고    scopus 로고
    • Conditional simulation of non-Gaussian random functions
    • X Émery. Conditional simulation of non-Gaussian random functions. Math Geol 34: 77-100, 2002.
    • (2002) Math Geol , vol.34 , pp. 77-100
    • Émery, X.1
  • 12
    • 0000210431 scopus 로고
    • Theory and practice of sequential simulation
    • M Armstrong, PA Dowd, Eds. Kluwer, Dordrecht, Netherlands
    • JJ Gómez-Hernández, EF Cassiraga. Theory and practice of sequential simulation. In Geostatistical Simulations, M Armstrong, PA Dowd, Eds. Kluwer, Dordrecht, Netherlands, 1994, pp. 111-124.
    • (1994) Geostatistical Simulations , pp. 111-124
    • Gómez-Hernández, J.J.1    Cassiraga, E.F.2
  • 13
    • 0015764255 scopus 로고
    • The intrinsic random functions and their applications
    • G Matheron. The intrinsic random functions and their applications. Adv Appl Prob 5: 439-468, 1973.
    • (1973) Adv Appl Prob , vol.5 , pp. 439-468
    • Matheron, G.1
  • 14
    • 0031684781 scopus 로고    scopus 로고
    • Closed form solutions of the two-dimensional turning band equation
    • T Gneiting. Closed form solutions of the two-dimensional turning band equation. Math Geol 30: 379-390, 1998.
    • (1998) Math Geol , vol.30 , pp. 379-390
    • Gneiting, T.1
  • 15
    • 44949174170 scopus 로고    scopus 로고
    • Multiple scale conditional simulation
    • Y Pachepsky, DE Radcliffe, HM Selim, Eds. CRC Press, Boca Raton, FL
    • P Kumar. Multiple scale conditional simulation. In Scaling Methods in Soil Phys ics, Y Pachepsky, DE Radcliffe, HM Selim, Eds. CRC Press, Boca Raton, FL, 2003, pp. 179-192.
    • (2003) Scaling Methods in Soil Phys ics , pp. 179-192
    • Kumar, P.1
  • 22
    • 0024484953 scopus 로고
    • Non-Gaussian data expansion in the earth sciences
    • AG Journel, F Alabert. Non-Gaussian data expansion in the earth sciences. Terra Nova 1: 123-134, 1989.
    • (1989) Terra Nova , vol.1 , pp. 123-134
    • Journel, A.G.1    Alabert, F.2
  • 23
    • 0001676557 scopus 로고
    • Conditioning a Gaussian model with inequalities
    • A Soares, Ed. Kluwer, Dordrecht, Netherlands
    • X Freulon, C de Fouquet. Conditioning a Gaussian model with inequalities. In Geostatistics Tróia '92, Vol. 1, A Soares, Ed. Kluwer, Dordrecht, Netherlands, 1993, pp. 201-212.
    • (1993) Geostatistics Tróia '92 , vol.1 , pp. 201-212
    • Freulon, X.1    de Fouquet, C.2
  • 24
    • 84937730674 scopus 로고
    • Explaining the Gibbs sampler
    • G Casella, EI George. Explaining the Gibbs sampler. Am Stat 46: 167-174, 1992.
    • (1992) Am Stat , vol.46 , pp. 167-174
    • Casella, G.1    George, E.I.2
  • 26
    • 0000901731 scopus 로고
    • The pros and cons of the truncated Gaussian method
    • Heresim Group M Armstrong, PA Dowd, Eds. Kluwer, Dordrecht, Netherlands
    • A Galli, H Beucher, G Le Loc'h, B Doligez, Heresim Group. The pros and cons of the truncated Gaussian method. In Geostatistical Simulations, M Armstrong, PA Dowd, Eds. Kluwer, Dordrecht, Netherlands, 1994, pp. 217-233.
    • (1994) Geostatistical Simulations , pp. 217-233
    • Galli, A.1    Beucher, H.2    Le Loc'h, G.3    Doligez, B.4
  • 28
    • 0002677875 scopus 로고
    • Simulating a geological lithofacies with respect to connectivity infor mation using the truncated Gaussian model
    • M Armstrong, PA Dowd, Eds. Kluwer, Dordrecht, Netherlands
    • D Allard. Simulating a geological lithofacies with respect to connectivity infor mation using the truncated Gaussian model. In Geostatistical Simulations, M Armstrong, PA Dowd, Eds. Kluwer, Dordrecht, Netherlands, 1994, pp. 197-211.
    • (1994) Geostatistical Simulations , pp. 197-211
    • Allard, D.1
  • 31
    • 0036612737 scopus 로고    scopus 로고
    • Simulation of cluster point processes without edge effects
    • A Brix, WS Kendall. Simulation of cluster point processes without edge effects. Adv Appl Prob 34: 267-280, 2002.
    • (2002) Adv Appl Prob , vol.34 , pp. 267-280
    • Brix, A.1    Kendall, W.S.2
  • 32
    • 0042054426 scopus 로고    scopus 로고
    • Conditional simulation of complex geological structures using multi point statistics
    • S Strebelle. Conditional simulation of complex geological structures using multi point statistics. Math Geol 34: 1-22, 2002.
    • (2002) Math Geol , vol.34 , pp. 1-22
    • Strebelle, S.1
  • 34
    • 0042287166 scopus 로고    scopus 로고
    • Characterization and analysis of soil variability within two agricultural fields: The case of water and mineral N profiles
    • G. Grenier, S. Blackmore, Eds., Montpellier, France
    • B Mary, N Beaudoin, JM Machet, C Bruchou, F Ariès. Characterization and analysis of soil variability within two agricultural fields: the case of water and mineral N profiles. In Proceedings of the 3rd European Conference on Precision Agriculture, G. Grenier, S. Blackmore, Eds., Montpellier, France, 2001, pp. 431-436.
    • (2001) Proceedings of the 3rd European Conference on Precision Agriculture , pp. 431-436
    • Mary, B.1    Beaudoin, N.2    Machet, J.M.3    Bruchou, C.4    Ariès, F.5
  • 35
    • 0026465454 scopus 로고
    • Linear coregionalization model: Tools for estimation and choice of multivariate variograms
    • M Goulard, M Voltz. Linear coregionalization model: tools for estimation and choice of multivariate variograms. Math Geol 24: 269-286, 1992.
    • (1992) Math Geol , vol.24 , pp. 269-286
    • Goulard, M.1    Voltz, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.