Yu-Pin Lin

Ecological Modeling · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Ecological Modeling — 27 citations into it
• Ecology — 25 citations into it
• Nature and Landscape Conservation — 23 citations into it

Whom Yu-Pin Lin trusts overall

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

1. Steven J. Phillips
2. Eric R. Ziegel
3. David B. Stephenson
4. C. Ferro
5. Antoine Guisan
6. D. MacKenzie
7. Canran Liu
8. Omri Allouche
9. Miroslav Dud'ik

Papers from Yu-Pin Lin's perspective

Ordered by how strongly the researchers Yu-Pin Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Predictive habitat distribution models in ecology
2. Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
3. A statistical explanation of MaxEnt for ecologists
4. A Coefficient of Agreement for Nominal Scales
5. A maximum entropy approach to species distribution modeling (International Conference on Machine Learning)
6. COMPETITIVE INTERACTIONS BETWEEN TREE SPECIES IN NEW ZEALAND'S OLD‐GROWTH INDIGENOUS FORESTS
7. Generalized Linear Models
8. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)
9. Not as good as they seem: the importance of concepts in species distribution modelling
10. Designing occupancy studies: general advice and allocating survey effort

Their papers

• Two alternative evaluation metrics to replace the true skill statistic in the assessment of species distribution models (2019) — 62 citations