Combining categorical and continuous spatial information within the Bayesian maximum entropy paradigm

Stochastic Environmental Research and Risk Assessment

Volumn 20, Issue 6, 2006, Pages 423-433

  Wibrin, M A ^a   Bogaert, P ^a   Fasbender, D ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Bayesian maximum entropy; Categorical data; Geostatistics; Kriging; Random field; Soft data

Indexed keywords

BAYESIAN ANALYSIS; GEOSTATISTICS; KRIGING; MAXIMUM ENTROPY ANALYSIS;

EID: 33746920856     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-006-0035-8     Document Type: Article

References (19)

1. Bogaert P (2002) Spatial prediction of categorical variables: The Bayesian maximum entropy approach. Stoch Environ Res Risk Assess 16:425-448
2. Brus DJ, de Gruijter JJ, Marsman BA, Visschers R, Bregt AK, Breeuwsma A, Bouma J (1996) The performance of spatial interpolation methods and choropleth maps to estimate properties at points: A soil survey case study. Environmetrics 7:1-16
3. Christakos G (1990) A Bayesian maximum-entropy view to the spatial estimation problem. Math Geol 22:763-777
4. Christakos G (2000) Modern spatiotemporal geostatistics. Oxford University Press, New York
5. Christakos G, Li X (1998) Bayesian maximum entropy analysis and mapping: a farewell to kriging estimators? Math Geol 30:435-462
6. Christakos G, Bogaert P, Serre ML (2002) Temporal GIS. Advanced functions for field-based applications. Springer, Berlin Heidelberg New York
7. Cressie N (1990) The origins of kriging. Math Geol 22:239-252
8. Diggle P, Tawn J, Moyeed R (1998) Model-based geostatistics. J R Stat Soc: Appl Stat 47:299-350
9. Dobermann A, Ping JL (2004) Geostatistical integration of yield monitor data and remote sensing improves yield maps. Agron J 96:285-297
10. D'Or D, Bogaert P, Christakos G (2001) Application of the BME approach to soil texture mapping. Stoch Environ Res Risk Assess 15:87-100
11. Douaik A, Van Meirvenne M, Tóth T, Serre ML (2004) Space-time mapping of soil salinity using probabilistic bayesian maximum entropy. Stoch Environ Res Risk Assess 18:219-227
12. Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New York
13. Jaynes ET (1982) On the rational of maximum-entropy methods. Proc IEEE 70:939-952
14. Journel AG (1983) Nonparametric estimation of spatial distributions. Math Geol 45:445-468
15. Lloyd CD, Atkinson PM (2004) Increased accuracy of geostatistical prediction of nitrogen dioxide in the United Kingdom with secondary data. Int J Appl Earth Obs Geoinform 5:293-305
16. Meul M, Van Meirvenne M (2003) Kriging soil texture under different types of nonstationarity. Geoderma 112:217-233
17. Savelieva E, Demyanova V, Kanevskia M, Serre ML, Christakos G (2005) BME-based uncertainty assessment of the Chernobyl fallout. Geoderma 128:312-324
18. Venables WN, Ripley BD (1994) Modern applied statistics with S-Plus. Springer, Berlin Heidelberg New York
19. Wang F (1990) Fuzzy supervised classification of remote sensing images. IEEE Trans Geosci Remote Sens 28:94-201