Geostatistical Analysis of a Soil Salinity Data Set

Advances in Agronomy

Volumn 58, Issue C, 1996, Pages 241-292

  Bourgault, G ^a   Journel, A G ^a   Rhoades, J D ^b   Corwin, D L ^b   Lesch, S M ^b  

^a STANFORD UNIVERSITY   (United States)

^b U S SALINITY LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77956673874     PISSN: 00652113     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0065-2113(08)60257-6     Document Type: Article

References (13)

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5. Journel A.G. Fundamentals of Geostatistics in Five Lessons. Short Course in Geology, 8 (1989), American Geophys. UnionPress, Washington DC 40
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7. Journel A.G., and Huijbregts Ch.J. Mining Geostatistics, (1978), AcademicPress, San Diego 600
8. Journel A.G.Xu.W. Posterior identification of histograms conditional to local data. Math. Geol. 26 (1994) 323-360
9. Lesch S.M., Strauss D.J., and Rhoades J.D. Spatial prediction of soil salinity using electromagnetic induction techniques. I. Statistical prediction models: A Comparison of multiple linear regression and cokriging. Water Resour. Res. 31 (1995) 373-386
10. Lesch S.M., Strauss D.J., and Rhoades J.D. Spatial prediction of soil salinity using electromagnetic induction techniques. 2. An efficient spatial sampling algorithm suitable for multiple linear regression model identification and estimation. Water Resour. Res. 31 (1995) 387-398
11. Sneath P.H.A., and Sokal R.R. Numerical Taxonomy-The Principles and Practice of Numerical Classification, (1973), Freeman, San Francisco 573
12. In: Soares A. (Ed). Proceedings of the 4th Geostatistical Congress, 1-2 (1993), Kluwer, Academic, Dordrecht. 1088 Geostat Troia 1992
13. Srivastava R.M. Reservoir Characterization with Probability Field Simulation, (1992) SPE paper No. 24753. Soc. of Pet. Eng.