Spatial prediction of categorical variables with the Bayesian Maximum Entropy approach: the Ooypolder case study
- 14 July 2004
- journal article
- Published by Wiley in European Journal of Soil Science
- Vol. 55 (4), 763-775
- https://doi.org/10.1111/j.1365-2389.2004.00628.x
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Scale of spatial dependence between chemical properties of topsoil and subsoil over a geologically contrasted area (Massif central, France)Geoderma, 2003
- Spatial prediction of categorical variables: the Bayesian maximum entropy approachStochastic Environmental Research and Risk Assessment, 2002
- A geostatistical approach to estimate probability of occurrence of Tuber melanosporum in relation to some soil propertiesGeoderma, 2000
- Transition probability-based indicator geostatisticsMathematical Geology, 1996
- Comparative performance of indicator algorithms for modeling conditional probability distribution functionsMathematical Geology, 1994
- The indicator approach to categorical soil dataEuropean Journal of Soil Science, 1993
- Combining soil maps with interpolations from point observations to predict quantitative soil propertiesGeoderma, 1992
- Nonparametric estimation of spatial distributionsMathematical Geology, 1983
- On Information and SufficiencyThe Annals of Mathematical Statistics, 1951
- On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are KnownThe Annals of Mathematical Statistics, 1940