Steve C. Walker
Nature and Landscape Conservation · 2015
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 24 citations into it; #5,268 of 6,941 by trust here, #3,783 by citations
- Statistics and Probability — 18 citations into it
- Ecological Modeling — 17 citations into it; #1,884 of 2,530 by trust here, #1,430 by citations
- Ecology, Evolution, Behavior and Systematics — 8 citations into it
Whom Steve C. Walker trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Marti J. Anderson (in Nature and Landscape Conservation)
- Eric R. Ziegel (in Statistics and Probability)
- Philippe Choler (in Nature and Landscape Conservation)
- J. Grace (in Nature and Landscape Conservation)
- L. Corrado (in Statistics and Probability)
- C. T. ter Braak (in Nature and Landscape Conservation)
Who trusts Steve C. Walker
- N. Abrego (in Nature and Landscape Conservation)
- Otso Ovaskainen (in Nature and Landscape Conservation)
Papers from Steve C. Walker's perspective
Ordered by how strongly the researchers Steve C. Walker trusts endorse each paper. Same corpus, a different order for every researcher.
- The ade4 Package: Implementing the Duality Diagram for Ecologists
- Rebuilding community ecology from functional traits. (Trends in Ecology & Evolution)
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- A Theory of Gradient Analysis
- Longitudinal data analysis using generalized linear models
- Fitting Linear Mixed-Effects Models Using lme4
- Generalized linear mixed models for phylogenetic analyses of community structure
- Generalized linear mixed models: a practical guide for ecology and evolution. (Trends in Ecology & Evolution)
- Methods to account for spatial autocorrelation in the analysis of species distributional data : a review
Their papers
- So Many Variables: Joint Modeling in Community Ecology. (2015) — 802 citations