Thomas Drouet

Nature and Landscape Conservation · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Drouet trusts overall

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

  1. Daniel A. Griffith
  2. P. Peres‐Neto
  3. Pierre Legendre
  4. F. James Rohlf
  5. Stéphane Dray
  6. D. Borcard
  7. Michael Tiefelsdorf
  8. H. Wagner
  9. J. Diniz-Filho

Papers from Thomas Drouet's perspective

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

  1. Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM)
  2. All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices
  3. Spatial modeling in ecology: the flexibility of eigenfunction spatial analyses. (Ecology)
  4. Spatial Autocorrelation and Spatial Filtering: Gaining Understanding Through Theory and Scientific Visualization
  5. Semiparametric Filtering of Spatial Autocorrelation: The Eigenvector Approach
  6. COMPARATIVE METHODS FOR THE ANALYSIS OF CONTINUOUS VARIABLES: GEOMETRIC INTERPRETATIONS (Evolution; international journal of organic evolution)
  7. Estimating and controlling for spatial structure in the study of ecological communities
  8. Modelling geographical patterns in species richness using eigenvector-based spatial filters
  9. Spatial structure in ecological communities – a quantitative analysis
  10. On the selection of phylogenetic eigenvectors for ecological analyses

Their papers