Maialen Iturbide

Ecological Modeling · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maialen Iturbide trusts overall

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

  1. Antoine Guisan
  2. A. Jiménez‐Valverde
  3. Jorge M. Lobo
  4. Ron Kohavi
  5. Philip M. Dixon
  6. R. P. Anderson
  7. Miguel B. Araújo
  8. Bernhard Schölkopf
  9. Steven J. Phillips
  10. Robin Engler

Papers from Maialen Iturbide's perspective

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

  1. Predictive habitat distribution models in ecology
  2. Maximum entropy modeling of species geographic distributions
  3. Real vs. artefactual absences in species distributions: tests for Oryzomys albigularis (Rodentia: Muridae) in Venezuela
  4. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
  5. Selecting areas for species persistence using occurrence data
  6. Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
  7. Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns
  8. Assessing the effects of pseudo-absences on predictive distribution model performance
  9. New developments in museum-based informatics and applications in biodiversity analysis. (Trends in Ecology & Evolution)
  10. R: A language and environment for statistical computing.

Their papers