articleTop 10% cited
Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem
Ecological Indicators · 2015 · Vol. 60 · pp. 870–878
Ren‐Min Yang(University of Chinese Academy of Sciences)Gan‐Lin Zhang✉(Chinese Academy of Sciences)Feng Liu(Chinese Academy of Sciences)Yuanyuan Lü(Institute of Soil Science)Fan Yang(Chinese Academy of Sciences)Fei Yang(University of Chinese Academy of Sciences)Min Yang(Chinese Academy of Sciences)Yu-Guo Zhao(Chinese Academy of Sciences)Chao Li(Institute of Soil Science)
Soil Geostatistics and MappingRemote Sensing in AgricultureGeochemistry and Geologic MappingSoil carbonTopsoilEnvironmental scienceVegetation (pathology)Soil scienceRandom forestSoil water
Funding
- Northwestern University
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Chinese Academy of Agricultural Sciences
Citations
444
FWCI
10.95
field-weighted impact
References
73
Percentile
99%
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Citations per year
Cited by
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References
Greedy function approximation: A gradient boosting machine.
The Annals of Statistics · 2001 · 27,794 citations
A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape
Ecological Indicators · 2015 · 796 citations
On digital soil mapping
Geoderma · 2003 · 3,478 citations
Mapping continuous depth functions of soil carbon storage and available water capacity
Geoderma · 2009 · 487 citations
Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis
Geoderma · 2008 · 701 citations
Soil carbon stocks and land use change: a meta analysis
Global Change Biology · 2002 · 3,880 citations
A working guide to boosted regression trees
Journal of Animal Ecology · 2008 · 6,353 citations
THE VERTICAL DISTRIBUTION OF SOIL ORGANIC CARBON AND ITS RELATION TO CLIMATE AND VEGETATION
Ecological Applications · 2000 · 5,037 citations
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