Christophe Coudun
Nature and Landscape Conservation · 2006
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 52 citations into it; #5,290 of 6,941 by trust here, #4,164 by citations
- Ecological Modeling — 50 citations into it; #1,891 of 2,530 by trust here, #1,805 by citations
- Ecology — 25 citations into it
- Ecology, Evolution, Behavior and Systematics — 17 citations into it
- Global and Planetary Change — 10 citations into it
- Plant Science — 6 citations into it; #6,191 of 8,232 by trust here, #5,217 by citations
Whom Christophe Coudun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jane Elith
- Wilfried Thuiller
- Miguel B. Araújo
- Antoine Guisan
- Trevor J. Hastie
- Eric R. Ziegel
- Michael P. Austin
- Simon Ferrier
- C. T. ter Braak
- A. Townsend Peterson
Who trusts Christophe Coudun overall
- Michael P. Austin
- A. Jiménez‐Valverde
- Miguel B. Araújo
- K. V. Van Niel
- A. Townsend Peterson
- Antoine Guisan
- Jorge M. Lobo
Papers from Christophe Coudun's perspective
Ordered by how strongly the researchers Christophe Coudun trusts endorse each paper. Same corpus, a different order for every researcher.
- Predictive habitat distribution models in ecology
- Generalized Linear Models
- Measuring the accuracy of diagnostic systems.
- BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. II. Community-level modelling (Biodiversity and Conservation)
- On the relationship between niche and distribution
- Predicting Species Occurrences: Issues of Accuracy and Scale
- Predicting the Geography of Species’ Invasions via Ecological Niche Modeling (The Quarterly review of biology)
Their papers
- The derivation of species response curves with Gaussian logistic regression is sensitive to sampling intensity and curve characteristics (2006) — 94 citations
- Soil nutritional factors improve models of plant species distribution: an illustration with Acer campestre (L.) in France (2006) — 192 citations