Corentin L. Bohl

Ecological Modeling · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Corentin L. Bohl trusts

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

  1. David Ruppert (in Evaluation & Benchmarks)
  2. R. P. Anderson (in Ecological Modeling)

Papers from Corentin L. Bohl's perspective

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

  1. Maximum entropy modeling of species geographic distributions
  2. ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models
  3. What do we gain from simplicity versus complexity in species distribution models
  4. Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models
  5. Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. (Ecological Applications)
  6. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
  7. Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
  8. Standards for distribution models in biodiversity assessments (Science Advances)
  9. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  10. Opening the black box: an open-source release of Maxent

Their papers