D. Bauman

Nature and Landscape Conservation · with Dray · 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 D. Bauman 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
  10. Luis Mauricio Bini

Papers from D. Bauman's perspective

Ordered by how strongly the researchers D. Bauman 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. Variation partitioning of species data matrices: estimation and comparison of fractions. (Ecology)
  6. Semiparametric Filtering of Spatial Autocorrelation: The Eigenvector Approach
  7. COMPARATIVE METHODS FOR THE ANALYSIS OF CONTINUOUS VARIABLES: GEOMETRIC INTERPRETATIONS (Evolution; international journal of organic evolution)
  8. Estimating and controlling for spatial structure in the study of ecological communities
  9. Modelling geographical patterns in species richness using eigenvector-based spatial filters
  10. Spatial structure in ecological communities – a quantitative analysis

Their papers