User menu

Spatial prediction of categorical variables with the Bayesian Maximum Entropy approach: the Ooypolder case study

Bibliographic reference D'Or, Dimitri ; Bogaert, Patrick. Spatial prediction of categorical variables with the Bayesian Maximum Entropy approach: the Ooypolder case study. In: European Journal of Soil Science, Vol. 55, no. 4, p. 763-775 (2004)
Permanent URL
  1. Bierkens M.F.P., Journal of Soil Science, 44, 361 (1993)
  2. Bierkens M.F.P., Journal of Soil Science, 44, 369 (1993)
  3. Bishop Y., Discrete Multivariate Analysis: Theory and Practice (1975)
  4. Bogaert P., Spatial prediction of categorical variables: the Bayesian maximum entropy approach, 10.1007/s00477-002-0114-4
  5. Bogaert P., Quantitative Geology and Geostatistics, 271 (2004)
  6. Bourennane H, Salvador-Blanes S, Cornu S, King D, Scale of spatial dependence between chemical properties of topsoil and subsoil over a geologically contrasted area (Massif central, France), 10.1016/s0016-7061(02)00309-9
  7. Carle S.F., Mathematical Geology, 28, 453 (1996)
  8. Castrignanò Annamaria, Goovaerts Pierre, Lulli Luciano, Bragato Gilberto, A geostatistical approach to estimate probability of occurrence of Tuber melanosporum in relation to some soil properties, 10.1016/s0016-7061(00)00054-9
  9. Christakos G., Mathematical Geology, 22, 763 (1990)
  10. Christakos G., Proceedings of IAMG '98, the Fourth Annual Conference of the International Association of Mathematical Geology, 33 (1998)
  11. Christakos G., Modern Spatiotemporal Geostatistics (2000)
  12. Cressie Noel A. C., Statistics for Spatial Data : Cressie/Statistics, ISBN:9781119115151, 10.1002/9781119115151
  13. De Cesare L., Posa D., A simulation technique of a non-Gaussian spatial process, 10.1016/0167-9473(94)00061-m
  14. Deming W.E., Annals of Mathematical Statistics, 11, 427 (1940)
  15. Diggle P. J., Tawn J. A., Moyeed R. A., Model-based geostatistics, 10.1111/1467-9876.00113
  16. D'Or D., Quantitative Geology and Geostatistics, 295 (2004)
  17. Good I.J., Annals of Mathematical Statistics, 34, 911 (1963)
  18. Goovaerts P., Mathematical Geology, 26, 389 (1994)
  19. Goovaerts P., Geostatistics for Natural Resources Evaluation (1997)
  20. Heuvelink G.B.M., Bierkens M.F.P., Combining soil maps with interpolations from point observations to predict quantitative soil properties, 10.1016/0016-7061(92)90002-o
  21. Journel A.G., Journal of the International Association for Mathematical Geology, 15, 445 (1983)
  22. Kullback S., Annals of Mathematical Statistics, 22, 76 (1951)
  23. Miller Jennifer, Franklin Janet, Modeling the distribution of four vegetation alliances using generalized linear models and classification trees with spatial dependence, 10.1016/s0304-3800(02)00196-5
  24. Netherlands Soil Survey Institute1987 . De bodemgesteldheid van het herinrichtingsgebied "Ooypolder" . Report No 1914, Stichting voor Bodemkartering, Wageningen (in Dutch).
  25. Oberthür T., Goovaerts P, Dobermann A ., Mapping soil texture classes using field textuing, particle size distribution and local knowledge by both conventional and geostatisical methods : Mapping field-estmated soil texture classes, 10.1046/j.1365-2389.1999.00255.x
  26. Van der Sluijs P., De Gruijter J.J., Water table classes: A method to describe seasonal fluctuation and duration of water tables on Dutch soil maps, 10.1016/0378-3774(85)90001-0