What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Machine learning
Stéphane Dray spends much of his time researching Ecology, Multivariate statistics, Data mining, Canonical analysis and Multivariate analysis.
His research integrates issues of Ordination, Functional ecology and Environment variable in his study of Multivariate statistics.
His studies in Data mining integrate themes in fields like Sampling and Theoretical computer science.
His work carried out in the field of Canonical analysis brings together such families of science as Canonical model and Correspondence analysis.
Stéphane Dray has included themes like Moran's I, Spatial analysis, Econometrics, Statistical model and Autocorrelation in his Canonical model study.
Stéphane Dray interconnects Logistic regression, Generalized additive model, Ecological data, Regression and Diagram in the investigation of issues within Multivariate analysis.
His most cited work include:
- The ade4 Package: Implementing the Duality Diagram for Ecologists (3299 citations)
- VARIATION PARTITIONING OF SPECIES DATA MATRICES: ESTIMATION AND COMPARISON OF FRACTIONS (1513 citations)
- Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM) (1208 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Ecology, Multivariate statistics, Spatial analysis, Statistics and Data mining.
Species sorting, Permutation and Statistical hypothesis testing is closely connected to Type I and type II errors in his research, which is encompassed under the umbrella topic of Ecology.
Within one scientific family, he focuses on topics pertaining to Multivariate analysis under Multivariate statistics, and may sometimes address concerns connected to Principal component analysis and Theoretical computer science.
Stéphane Dray focuses mostly in the field of Data mining, narrowing it down to topics relating to Canonical analysis and, in certain cases, Correspondence analysis.
His Moran's I research is multidisciplinary, incorporating elements of Canonical model and Econometrics.
His Econometrics study incorporates themes from Statistical model and Autocorrelation.
He most often published in these fields:
- Ecology (55.24%)
- Multivariate statistics (20.00%)
- Spatial analysis (20.00%)
What were the highlights of his more recent work (between 2018-2021)?
- Ecology (55.24%)
- Ecosystem (14.29%)
- Biodiversity (8.57%)
In recent papers he was focusing on the following fields of study:
Stéphane Dray mostly deals with Ecology, Ecosystem, Biodiversity, Trophic level and Ecological network.
Competition, National park, Herbivore, Null model and Perennial plant are the subjects of his Ecology studies.
Stéphane Dray has researched Biodiversity in several fields, including Niche, Species richness, Genetic variation and Genetic diversity.
His Species richness research incorporates elements of Spatial ecology and Species diversity.
Stéphane Dray combines subjects such as Diversity index, Variation, Measure and Environmental resource management with his study of Trophic level.
His Ecological network study combines topics from a wide range of disciplines, such as Taxonomic rank, Probabilistic logic, Survey data collection and Correspondence analysis.
Between 2018 and 2021, his most popular works were:
- Testing the Mantel statistic with a spatially‐constrained permutation procedure (14 citations)
- Diversity indices for ecological networks: a unifying framework using Hill numbers. (13 citations)
- Diversity indices for ecological networks: a unifying framework using Hill numbers. (13 citations)
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