Estimating soil properties from thematic soil maps: the Bayesian maximum entropy approach

By Patrick Bogaert, D. D’Or. 2002

80 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Soil Science

View Paper: https://www.semanticscholar.org/paper/1595d8ab64fb23adc489d83d312c46d10f264c0c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. R. Froidevaux
2. Denis Allard
3. D. D’Or

In Environmental Engineering

1. R. Froidevaux
2. Denis Allard
3. D. D’Or
4. Xavier Emery
5. Roussos G. Dimitrakopoulos
6. Philippe Naveau
7. William Kleiber
8. Michael L. Stein

In Soil Science

1. R. Froidevaux
2. Denis Allard
3. D. D’Or

Citations in the corpus

• An efficient maximum entropy approach for categorical variable prediction (2011, methodology): “The Bayesian maximum entropy (BME) principle (Christakos, 1990) has been applied to the spatial prediction of categorical variables by Bogaert (2002), in particular, for soil data sets (D’Or et al., 2001; Bogaert & D’Or, 2002; & D’Or & Bogaert, 2004).”