High-resolution digital soil mapping of amorphous iron- and aluminium-(hydr)oxides to guide sustainable phosphorus and carbon management
Author:
van Doorn Maarten, Helfenstein AnatolORCID, Ros Gerard H., Heuvelink Gerard B.M., van Rotterdam-Los Debby A.M.D., Verweij Sven E., de Vries Wim
Reference106 articles.
1. Adhikari, K., Bou Kheir, R., Greve, M.B., Greve, M.H., Malone, B.P., Minasny, B., McBratney, A.B., 2014) Mapping soil pH and bulk density at multiple soil depths in Denmark. In: GlobalSoilMap: Basis of the Global Spatial Soil Information System – Proceedings of the 1st GlobalSoilMap Conference, pp. 155–160. https://doi.org/10.1201/b16500-31. 2. Visualizing the effects of predictor variables in black box supervised learning models;Apley;J. R. Stat. Soc. Ser. B Stat Methodol.,2020 3. Arrouays, D., McBratney, A.B., Minasny, B., Hempel, J.W., Heuvelink, G.B.M., MacMillan, R.A., Hartemink, A.E., Lagacherie, P., McKenzie, N.J., 2014. The GlobalSoilMap project specifications. In: GlobalSoilMap: Basis of the Global Spatial Soil Information System – Proceedings of the 1st GlobalSoilMap Conference, pp. 9–12. https://doi.org/10.1201/b16500-4. 4. Digital soil mapping and GlobalSoilMap. Main advances and ways forward;Arrouays;Geoderma Regional,2020 5. Spatial Point Patterns: Methodology and Applications with R;Baddeley,2016
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