Victoria Nolan

Ecological Modeling · 2020

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Victoria Nolan trusts overall

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

  1. Antoine Guisan
  2. Wilfried Thuiller
  3. Miguel B. Araújo
  4. Jane Elith
  5. Steven J. Phillips
  6. Eric R. Ziegel
  7. Catherine H. Graham
  8. A. Townsend Peterson
  9. Rune Halvorsen
  10. Michael P. Austin

Papers from Victoria Nolan's perspective

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

  1. BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
  2. Maximum entropy modeling of species geographic distributions
  3. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
  4. Generalized Linear Models
  5. A statistical explanation of MaxEnt for ecologists
  6. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
  7. Measuring the accuracy of diagnostic systems.
  8. Generalized linear and generalized additive models in studies of species distributions: setting the scene
  9. Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
  10. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data

Their papers