The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
John Lu, Z. Q. (2010) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2010.00646_6.x · Cited by 12,390
Classification and regression trees
Praagman, J. (1985) · European Journal of Operational Research · doi:10.1016/0377-2217(85)90321-2 · Cited by 10,053
BEVEN, K. J., & KIRKBY, M. J. (1979) · Hydrological Sciences Bulletin · doi:10.1080/02626667909491834 · Cited by 6,670
THE VERTICAL DISTRIBUTION OF SOIL ORGANIC CARBON AND ITS RELATION TO CLIMATE AND VEGETATION
Jobbágy, E. G., & Jackson, R. B. (2000) · Ecological Applications · doi:10.1890/1051-0761(2000)010[0423:tvdoso]2.0.co;2 · Cited by 5,428
Stabilization mechanisms of soil organic matter: Implications for C-saturation of soils
Six, J., Conant, R. T., Paul, E. A., & Paustian, K. (2002) · Plant and Soil · doi:10.1023/a:1016125726789 · Cited by 4,633
Cited by
Deep learning and process understanding for data-driven Earth system science
Reichstein, M., Camps-Valls, G., Stevens, B., Jung, M., Denzler, J., Carvalhais, N., & Prabhat (2019) · Nature · doi:10.1038/s41586-019-0912-1 · Cited by 5,673
Mutanga, O., Adam, E., & Cho, M. A. (2012) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2012.03.012 · Cited by 854
Machine learning for digital soil mapping: Applications, challenges and suggested solutions
Wadoux, A. M. J.-C., Minasny, B., & McBratney, A. B. (2020) · Earth-Science Reviews · doi:10.1016/j.earscirev.2020.103359 · Cited by 731
Mapping continuous depth functions of soil carbon storage and available water capacity
Malone, B. P., McBratney, A. B., Minasny, B., & Laslett, G. M. (2009) · Geoderma · doi:10.1016/j.geoderma.2009.10.007 · Cited by 506
Selecting appropriate machine learning methods for digital soil mapping
Khaledian, Y., & Miller, B. A. (2020) · Applied Mathematical Modelling · doi:10.1016/j.apm.2019.12.016 · Cited by 448
Metadata
- Authors
- Grimm, R., Behrens, T., Märker, M., & Elsenbeer, H.
- Venue
- Geoderma
- Publisher
- Elsevier BV
- Published
- 2008-07
- Volume
- 146
- Issue
- 1-2
- Pages
- 102-113
- ISSN
- 0016-7061 (ISSN-L)
- OpenAlex
- W2081340599
- Cited by
- 716
- References
- 85
- FWCI
- 11.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis. https://app.cochat.ai/papers/10.1016/j.geoderma.2008.05.008
- The paper
- Grimm, R., Behrens, T., Märker, M., & Elsenbeer, H. (2008). Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis. Geoderma. https://doi.org/10.1016/j.geoderma.2008.05.008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.