Rafael O. Wüest
Nature and Landscape Conservation · 2014–2019
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 115 citations into it
- Ecological Modeling — 113 citations into it
- Ecology — 71 citations into it
- Statistics and Probability — 45 citations into it
- Artificial Intelligence — 33 citations into it
- Statistical Learning Theory — 8 citations into it
Whom Rafael O. Wüest trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Rafael O. Wüest's perspective
Ordered by how strongly the researchers Rafael O. Wüest trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- On the relationship between niche and distribution
- BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
- Predictive habitat distribution models in ecology
- Generalized Linear Models
- Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- Regression Shrinkage and Selection via the Lasso
- A working guide to boosted regression trees.
- Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. (Ecology Letters)
Their papers
- Model averaging in ecology: a review of Bayesian, information-theoretic, and tactical approaches for predictive inference (2018) — 342 citations
- Testing species assemblage predictions from stacked and joint species distribution models (2019) — 139 citations
- Model complexity affects species distribution projections under climate change (2019) — 186 citations
- What do we gain from simplicity versus complexity in species distribution models (2014) — 593 citations