Dominique Arrouays
Environmental Engineering · 2008–2019
A researcher in the Science corpus: 10 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 46 citations into it; #4,651 of 5,479 by trust here, #1,555 by citations
- Statistics and Probability — 31 citations into it
- Artificial Intelligence — 23 citations into it; #31,706 of 35,345 by trust here, #20,836 by citations
- Ecology — 20 citations into it; #8,355 of 10,717 by trust here, #5,577 by citations
- Statistical Learning Theory — 11 citations into it
- Nature and Landscape Conservation — 11 citations into it
- Ecological Modeling — 9 citations into it
- Media Technology — 6 citations into it
Whom Dominique Arrouays trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Dominique Arrouays overall
Papers from Dominique Arrouays's perspective
Ordered by how strongly the researchers Dominique Arrouays trusts endorse each paper. Same corpus, a different order for every researcher.
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Why do we still use stepwise modelling in ecology and behaviour? (Journal of Animal Ecology)
- Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
- R: A language and environment for statistical computing.
- A working guide to boosted regression trees.
- Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis
- Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context
- Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods
- Status of land cover classification accuracy assessment
- Terrain analysis : principles and applications
Their papers
- Probability mapping of soil thickness by random survival forest at a national scale (2019) — 54 citations
- How far can the uncertainty on a Digital Soil Map be known?: A numerical experiment using pseudo values of clay content obtained from Vis-SWIR hyperspectral imagery (2019) — 57 citations
- Building a pedotransfer function for soil bulk density on regional dataset and testing its validity over a larger area (2018) — 60 citations
- Evaluating large-extent spatial modeling approaches: A case study for soil depth for France (2016) — 52 citations
- Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale (2014) — 137 citations
- Biogeographical patterns of soil molecular microbial biomass as influenced by soil characteristics and management (2011) — 248 citations
- Spatial prediction of soil properties with copulas (2011) — 54 citations
- Estimating forest soil bulk density using boosted regression modelling (2010) — 90 citations
- Optimizing pedotransfer functions for estimating soil bulk density using boosted regression trees. (2009) — 102 citations
- Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context (2008) — 196 citations