A Michelle Lawing

Ecological Modeling · with Castellanos · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A Michelle Lawing trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. R. P. Anderson
  2. Steven J. Phillips

Papers from A Michelle Lawing's perspective

Ordered by how strongly the researchers A Michelle Lawing trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
  2. Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. (Ecological Applications)
  3. Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models
  4. Effects of sample size on the performance of species distribution models
  5. ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models
  6. Methods to account for spatial autocorrelation in the analysis of species distributional data : a review
  7. The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela
  8. R: A language and environment for statistical computing.
  9. Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models
  10. The crucial role of the accessible area in ecological niche modeling and species distribution modeling

Their papers