Cory Merow
Ecological Modeling · 2014–2022
A researcher in the Science corpus: 9 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 200 citations into it
- Nature and Landscape Conservation — 171 citations into it
- Ecology — 147 citations into it
- Artificial Intelligence — 24 citations into it
- Applied Mathematics — 6 citations into it
Whom Cory Merow trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Steven J. Phillips
- Rune Halvorsen
- Miguel B. Araújo
- David I. Warton
- Jane Elith
- Wilfried Thuiller
- Antoine Guisan
- Miroslav Dud'ik
- Michael P. Austin
Who trusts Cory Merow overall
Papers from Cory Merow's perspective
Ordered by how strongly the researchers Cory Merow trusts endorse each paper. Same corpus, a different order for every researcher.
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
- On the relationship between niche and distribution
- BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
- Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. (Ecological Applications)
- A statistical explanation of MaxEnt for ecologists
- Maximum entropy modeling of species geographic distributions
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Patterns and uncertainties of species' range shifts under climate change
Their papers
- Climate change increases cross-species viral transmission risk (2022) — 746 citations
- A standard protocol for reporting species distribution models (2020) — 774 citations
- The projected timing of abrupt ecological disruption from climate change (2019) — 601 citations
- A protocol for an intercomparison of biodiversity and ecosystem services models using harmonized land-use and climate scenarios (2018) — 103 citations
- Integrating occurrence data and expert maps for improved species range predictions (2017) — 112 citations
- The bien r package: A tool to access the Botanical Information and Ecology Network (BIEN) database (2017) — 337 citations
- What do we gain from simplicity versus complexity in species distribution models (2014) — 593 citations
- A comparison of Maxlike and Maxent for modelling species distributions (2014) — 120 citations
- On using integral projection models to generate demographically driven predictions of species' distributions: development and validation using sparse data (2014) — 161 citations