Matthew Betts
Nature and Landscape Conservation · 2008–2019
A researcher in the Science corpus: 7 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 54 citations into it
- Ecological Modeling — 45 citations into it
- Ecology, Evolution, Behavior and Systematics — 28 citations into it
- Artificial Intelligence — 14 citations into it
- Statistics and Probability — 10 citations into it
- Statistical Learning Theory — 6 citations into it
- Genetics — 5 citations into it
Whom Matthew Betts trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nathan Pike
- John R. Sauer
- K. Burnham
- J. Ohmann
- Antoine Guisan
- D. MacKenzie
- J. Fischer
- Jane Elith
- L. Fahrig
- David B. Lindenmayer
Papers from Matthew Betts's perspective
Ordered by how strongly the researchers Matthew Betts trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- Predictive habitat distribution models in ecology
- Model selection and multimodel inference : a practical information-theoretic approach
- Extinction risk from climate change (Nature)
- A working guide to boosted regression trees.
- Climate change meets habitat fragmentation: linking landscape and biogeographical scale levels in research and conservation
- Greedy function approximation: A gradient boosting machine.
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Spatial autocorrelation and autoregressive models in ecology
- R: A language and environment for statistical computing.
Their papers
- Are we eating the world's megafauna to extinction? (2019) — 165 citations
- Old‐growth forests buffer climate‐sensitive bird populations from warming (2018) — 101 citations
- A species-centered approach for uncovering generalities in organism responses to habitat loss and fragmentation (2014) — 157 citations
- Species distribution modelling for the people: unclassified landsat TM imagery predicts bird occurrence at fine resolutions (2013) — 87 citations
- Acoustic classification of multiple simultaneous bird species: a multi-instance multi-label approach. (2012) — 312 citations
- Research Needs and Recommendations for the use of Conspecific-Attraction Methods in the Conservation of Migratory Songbirds (2010) — 99 citations
- Dynamic occupancy models reveal within-breeding season movement up a habitat quality gradient by a migratory songbird (2008) — 119 citations