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Bayesian Data Fusion Applied to Soil Drainage Classes Spatial Mapping

Bibliographic reference Gengler, Sarah ; Bogaert, Patrick. Bayesian Data Fusion Applied to Soil Drainage Classes Spatial Mapping. In: Mathematical Geosciences, Vol. 48, no. 1, p. 79-88
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  1. BIERKENS M. F. P., BURROUGH P. A., The indicator approach to categorical soil data : II. Application to mapping and land use suitability analysis, 10.1111/j.1365-2389.1993.tb00459.x
  2. Bogaert P (2003) Spatial prediction of categorical variables: the bme approach. In: geoENV IV—Geostatistics for environmental applications pp 271–282
  3. Bogaert P., Fasbender D., Bayesian data fusion in a spatial prediction context: a general formulation, 10.1007/s00477-006-0080-3
  4. Bregt A. K., Stoorvogel J. J., Bouma J., Stein A., Mapping Ordinal Data in Soil Survey: A Costa Rican Example, 10.2136/sssaj1992.03615995005600020029x
  5. Geostatistics, ISBN:9780470316993, 10.1002/9780470316993
  6. Christakos G (2000) Modern spatiotemporal geostatistics. Oxford University Press, New York
  7. Cressie N (1991) Statistics for spatial data. Wiley series in probability and mathematical statistic. Wiley, New York
  8. D’Or D., Bogaert P., Combining Categorical Information with the Bayesian Maximum Entropy Approach, Quantitative Geology and Geostatistics ISBN:1402020074 p.295-306, 10.1007/1-4020-2115-1_25
  9. D'Or D., Bogaert P., Spatial prediction of categorical variables with the Bayesian Maximum Entropy approach: the Ooypolder case study, 10.1111/j.1365-2389.2004.00628.x
  10. Fasbender D., Peeters L., Bogaert P., Dassargues A., Bayesian data fusion applied to water table spatial mapping : BAYESIAN DATA FUSION APPLIED TO WATER, 10.1029/2008wr006921
  11. Fasbender D., Radoux J., Bogaert P., Bayesian Data Fusion for Adaptable Image Pansharpening, 10.1109/tgrs.2008.917131
  12. Fasbender Dominique, Obsomer Valrie, Bogaert Patrick, Defourny Pierre, Updating Scarce High Resolution Images with Time Series of Coarser Images: a Bayesian Data Fusion Solution, Sensor and Data Fusion ISBN:9783902613523, 10.5772/6581
  13. Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New York
  14. Journel A. G., Constrained interpolation and qualitative information?The soft kriging approach, 10.1007/bf00898032
  15. Kravchenko A. N., Bollero G. A., Omonode R. A., Bullock D. G., Quantitative Mapping of Soil Drainage Classes Using Topographical Data and Soil Electrical Conductivity, 10.2136/sssaj2002.0235
  16. Liu Jiangui, Pattey Elizabeth, Nolin Michel C., Miller John R., Ka Oumar, Mapping within-field soil drainage using remote sensing, DEM and apparent soil electrical conductivity, 10.1016/j.geoderma.2007.11.011
  17. VanOrshoven J, Maes J, Vereecken H, Feyen J, Dudal R (1988) A structured database of belgian soil profile data. Pedologie 38:191–206
  18. Wibrin M.A., Bogaert P., Fasbender D., Combining categorical and continuous spatial information within the Bayesian maximum entropy paradigm, 10.1007/s00477-006-0035-8