J. Kass

Ecological Modeling · 2014–2021

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Kass trusts overall

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

  1. Steven J. Phillips
  2. R. P. Anderson
  3. David Ruppert
  4. Dan L. Warren
  5. S. Veloz
  6. Jane Elith
  7. Miguel B. Araújo
  8. Robert Muscarella
  9. Stephanie N. Seifert
  10. Antoine Guisan

Papers from J. Kass's perspective

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

  1. Maximum entropy modeling of species geographic distributions
  2. Real vs. artefactual absences in species distributions: tests for Oryzomys albigularis (Rodentia: Muridae) in Venezuela
  3. Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models
  4. Do they? How do they? WHY do they differ? On finding reasons for differing performances 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. Predicting species distributions from small numbers of occurrence records: A test case using cryptic geckos in Madagascar
  7. Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. (Ecological Applications)
  8. Multimodel Inference
  9. What do we gain from simplicity versus complexity in species distribution models
  10. Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure

Their papers