Rune Halvorsen
Ecological Modeling · 2008–2019
A researcher in the Science corpus: 6 papers; trusts 142 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 181 citations into it; #323 of 2,530 by trust here, #1,430 by citations
- Nature and Landscape Conservation — 165 citations into it; #876 of 6,941 by trust here, #4,973 by citations
- Ecology — 140 citations into it
- Ecology, Evolution, Behavior and Systematics — 30 citations into it
- Genetics — 24 citations into it
- Statistics and Probability — 17 citations into it
- Global and Planetary Change — 14 citations into it
- Artificial Intelligence — 13 citations into it; #8,499 of 35,345 by trust here, #29,412 by citations
Whom Rune Halvorsen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jane Elith
- Steven J. Phillips
- Antoine Guisan
- J. Pearce
- Michael P. Austin
- Jorge M. Lobo
- Catherine H. Graham
- R. P. Anderson
- A. Townsend Peterson
- Miguel B. Araújo
Who trusts Rune Halvorsen overall
- Cory Merow
- Julien Vollering
- Emad Kaky
- Peter J. Galante
- John A. Silander
- Victoria Nolan
- Inger Auestad
- Babatunde Alade
- K. Rydgren
- Abdulaziz S. Alatawi
Papers from Rune Halvorsen's perspective
Ordered by how strongly the researchers Rune Halvorsen trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum entropy modeling of species geographic distributions
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- Predictive habitat distribution models in ecology
- Generalized Linear Models
- Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
- An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
- New developments in museum-based informatics and applications in biodiversity analysis. (Trends in Ecology & Evolution)
- On the relationship between niche and distribution
- Modelling distribution and abundance with presence‐only data
Their papers
- Bunching up the background betters bias in species distribution models (2019) — 90 citations
- How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt (2016) — 94 citations
- A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling (2013) — 82 citations
- Species distribution modelling—Effect of design and sample size of pseudo-absence observations (2011) — 115 citations
- Modelling and predicting fungal distribution patterns using herbarium data (2008) — 136 citations
- Large scale experimental effects of three levels of sheep densities on an alpine ecosystem (2008) — 83 citations