Bayesian Data Fusion Applied to Soil Drainage Classes Spatial Mapping

Mathematical Geosciences

Volumn 48, Issue 1, 2016, Pages 79-88

  Gengler, Sarah ^a   Bogaert, Patrick ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Bayesian data fusion; Categorical data; Drainage classes; Spatial estimation

Indexed keywords

DATA FUSION; FORECASTING; MAPPING; REGRESSION ANALYSIS;

BAYESIAN DATA FUSIONS; BAYESIAN MAXIMUM ENTROPIES; CATEGORICAL DATA; CATEGORICAL VARIABLES; CONDITIONAL INDEPENDENCES; HYDROLOGICAL MODELLING; SOURCES OF INFORMATIONS; SPATIAL ESTIMATION;

SOILS;

BAYESIAN ANALYSIS; HYDRAULIC CONDUCTIVITY; HYDROLOGICAL MODELING; HYPOTHESIS TESTING; LOGISTICS; MAXIMUM ENTROPY ANALYSIS; REGRESSION ANALYSIS; SOIL DRAINAGE; SPATIAL DATA;

ANTWERP [BELGIUM]; BELGIUM; MECHELEN;

EID: 84958150306     PISSN: 18748961     EISSN: 18748953     Source Type: Journal    
DOI: 10.1007/s11004-015-9585-y     Document Type: Article

References (18)

1. Bierkens MF, Burrough PA (1993) The indicator approach to categorical soil data. 2. Application to mapping and land-use suitability. J Soil Sci 44(2):369–381
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 (2007) Bayesian data fusion in a spatial prediction context: a general formulation. Stoch Environ Res Risk Assess 21(6):695–709
4. Bregt AK, Stoorvogel JJ, Bouma J, Stein A (1992) Mapping ordinal data in soil survey: a costa rican example. Soil Sci Soc Am J 56(2):525–531
5. Chiles JP, Delfiner P (1999) Geostatistics: modeling spatial uncertainty. Wiley, New York
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 (2004a) Combining categorical information with the bayesian maximum entropy approach. In: geoENV IV—geostatistics for environmental applications, pp 295–306
9. D’Or D, Bogaert P (2004b) Spatial prediction of categorical variables with the bayesian maximum entropy approach: the ooypolder case study. Eur J Soil Sci 55(4):763–775
10. Fasbender D, Peeters L, Bogaert P, Dassargues A (2008a) Bayesian data fusion applied to water table spatial mapping. Water Resour Res 44(12):422 (w12)
11. Fasbender D, Radoux J, Bogaert P (2008b) Bayesian data fusion for adaptable image pansharpening. IEEE Trans Geosci 46(6):1847–1857
12. Fasbender D, Obsomer V, Bogaert P, Defourny P (2009) Updating scarce high resolution images with time series of coarser images: a bayesian data fusion solution. In: Milisavljevic N (ed) Sensor and data fusion, pp 245-262 (ISBN: 978-3-902613-52-3)
13. Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New York
14. Journel AG (1986) Constrained interpolation and qualitative information—the soft kriging approach. Math Geol 18:269–286
15. Kravchenko A, Bollero G, Omonode R, Bullock D (2002) Quantitative mapping of soil drainage classes using topographical data and soil electrical conductivity. Soil Sci Soc Am J 66:235–243
16. Liu J, Pattey E, Nolin MC, Miller JR, Ka O (2008) Mapping within-field soil drainage using remote sensing, dem and apparent soil electrical conductivity. Geoderma 143(3–4):261–272
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 MA, Bogaert P, Fasbender D (2006) Combining categorical and continuous spatial information within the bayesian maximum entropy paradigm. Stoch Environ Res Risk Assess 20(6):381–467