Quantitative mapping of soil types based on regression kriging of taxonomic distances with landform and land cover attributes
By F. Carré, M. Girard. 2002
104 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Environmental Engineering, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/8403187e6d11f2938e5a1cb16ea7bfa0cf24fa9c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Environmental Engineering
- Tomislav Hengl
- Budiman Minasny
- Alex B. McBratney
- M. L. M. Santos
- Sabine Grunwald
- Gerard B. M. Heuvelink
- R. M. Lark
- Jasper A. Vrugt
In Management, Monitoring, Policy and Law
- Tomislav Hengl
- Budiman Minasny
- Alex B. McBratney
- M. L. M. Santos
- Sabine Grunwald
- R. M. Lark
- Gerard B. M. Heuvelink
Citations in the corpus
- A Practical Guide to Geostatistical Mapping (2009, background): “Roger Bivand GEOSTAT course, 11-17 April 2011, Canberra The missing link I Our projects typically depend on both statistical and GIS analysis I Some believe that this could all be done within R I Others believe that this could all be done within commercial packages (ArcGIS) I . . . and the winner is”
- On digital soil mapping (2003, methodology): “Carré and Girard ( 2002 ) used a continuous method for horizon and profile classification called OSACA .”
- Prediction of soil properties using fuzzy membership values (2010, unknown): “The incorporation of similarity measures in terms of fuzzy membership or taxonomic distance has been reported previously (Odeh and Chittleborough, 1992; Carre and Gigard, 2002).”
- Incorporating taxonomic distance into spatial prediction and digital mapping of soil classes (2007, background): “One solution is provided by Carré and Girard (2002) where they proposed mapping soil classes based on their taxonomic distances.”