Matt D. White
Nature and Landscape Conservation · 2009–2019
A researcher in the Science corpus: 9 papers; trusts 86 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 231 citations into it; #1,502 of 6,941 by trust here, #1,530 by citations
- Ecological Modeling — 230 citations into it; #561 of 2,530 by trust here, #622 by citations
- Ecology — 169 citations into it; #1,999 of 10,717 by trust here, #2,597 by citations
- Ecology, Evolution, Behavior and Systematics — 67 citations into it
- Statistics and Probability — 30 citations into it
- Global and Planetary Change — 26 citations into it
- Artificial Intelligence — 25 citations into it
- Genetics — 18 citations into it
Whom Matt D. White trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antoine Guisan
- Canran Liu
- Richard G. Pearson
- Steven J. Phillips
- Miguel B. Araújo
- Wilfried Thuiller
- Jane Elith
- A. Townsend Peterson
- Tom Fawcett
- Jorge M. Lobo
Who trusts Matt D. White overall
- Canran Liu
- Giles M. Foody
- Robert J. Hijmans
- Miguel B. Araújo
- G. Newell
- A. Townsend Peterson
- Jorge Soberón
- Richard D. Inman
- R. Wunderlich
- R. A. Garcia
Papers from Matt D. White's perspective
Ordered by how strongly the researchers Matt D. White 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
- Extinction risk from climate change (Nature)
- The meaning and use of the area under a receiver operating characteristic (ROC) curve.
- Maximum entropy modeling of species geographic distributions
- Measuring the accuracy of diagnostic systems.
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data
- Patterns and uncertainties of species' range shifts under climate change
- Generalized linear and generalized additive models in studies of species distributions: setting the scene
Their papers
- The effect of sample size on the accuracy of species distribution models: considering both presences and pseudo‐absences or background sites (2019) — 146 citations
- A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels (2019) — 493 citations
- Integrated species distribution models: combining presence‐background data and site‐occupancy data with imperfect detection (2017) — 113 citations
- On the selection of thresholds for predicting species occurrence with presence‐only data (2015) — 661 citations
- Selecting thresholds for the prediction of species occurrence with presence‐only data (2013) — 1,471 citations
- Measuring and comparing the accuracy of species distribution models with presence–absence data (2011) — 440 citations
- Hotspots of plant invasion predicted by propagule pressure and ecosystem characteristics (2011) — 138 citations
- How Useful Are Species Distribution Models for Managing Biodiversity under Future Climates (2010) — 372 citations
- Measuring the accuracy of species distribution models: a review (2009) — 119 citations