John N. Williams

Ecological Modeling · with Erwin · 2009

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John N. Williams trusts overall

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

  1. Michael P. Austin
  2. Wilfried Thuiller
  3. Antoine Guisan
  4. Nicholas Gotelli
  5. Monica Papes
  6. Miguel B. Araújo
  7. Steven J. Phillips
  8. Anantha M. Prasad
  9. Julian D. Olden
  10. Richard G. Pearson

Who trusts John N. Williams overall

  1. M. Syfert
  2. Blas M. Benito
  3. Rune Halvorsen
  4. Janet Franklin
  5. Luis Cayuela

Papers from John N. Williams's perspective

Ordered by how strongly the researchers John N. Williams trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
  2. Maximum entropy modeling of species geographic distributions
  3. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
  4. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
  5. Effects of sample size on accuracy of species distribution models
  6. Predicting Species Occurrences: Issues of Accuracy and Scale
  7. Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns
  8. BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
  9. Generalized models vs. classification tree analysis: Predicting spatial distributions of plant species at different scales
  10. Effects of species’ ecology on the accuracy of distribution models

Their papers