G. L. Lay
Ecological Modeling · 2006–2010
A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 77 citations into it; #308 of 2,530 by trust here, #440 by citations
- Nature and Landscape Conservation — 75 citations into it; #824 of 6,941 by trust here, #1,072 by citations
- Ecology — 66 citations into it; #983 of 10,717 by trust here, #1,443 by citations
- Ecology, Evolution, Behavior and Systematics — 15 citations into it
- Genetics — 9 citations into it
- Statistics and Probability — 9 citations into it
- Economics and Econometrics — 8 citations into it
- Global and Planetary Change — 8 citations into it
Whom G. L. Lay trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Townsend Peterson
- A. Hirzel
- Antoine Guisan
- Anthony Lehmann
- Miguel B. Araújo
- H. Resit Akçakaya
- Eric R. Ziegel
- Jorge Soberón
- R. P. Anderson
- David Ruppert
Who trusts G. L. Lay overall
- Tomás Václavík
- C. De Angelo
- Rune Halvorsen
- Miguel B. Araújo
- Ross K. Meentemeyer
- Elizabeth A. Freeman
- H. Rebelo
- Mark Hebblewhite
- Ente Rood
- N. DeCesare
Papers from G. L. Lay's perspective
Ordered by how strongly the researchers G. L. Lay trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized Linear Models
- On the relationship between niche and distribution
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- Modelling distribution and abundance with presence‐only data
- Predictive habitat distribution models in ecology
- Predicting the Geography of Species’ Invasions via Ecological Niche Modeling (The Quarterly review of biology)
- Measuring the accuracy of diagnostic systems.
- New developments in museum-based informatics and applications in biodiversity analysis. (Trends in Ecology & Evolution)
- Evaluating presence-absence models in ecology: the need to account for prevalence
- Evaluating predictive models of species’ distributions: criteria for selecting optimal models
Their papers
- Prospective sampling based on model ensembles improves the detection of rare species (2010) — 99 citations
- Do habitat suitability models reliably predict the recovery areas of threatened species (2010) — 125 citations
- Habitat suitability modelling and niche theory (2008) — 831 citations
- Evaluating the ability of habitat suitability models to predict species presences (2006) — 1,521 citations