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Cited by 2,997Ecology and Vegetation Dynamics StudiesData Analysis with RStatistical Methods and Applications

Numerical Ecology with R

Open access
Borcard, Daniel, Gillet, Francois, Legendre, Pierre·2011·Springer eBooks
DOI 10.1007/978-1-4419-7976-6
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Crossref · 10.1007/978-1-4419-7976-6

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Authors
Borcard, D., Gillet, F., & Legendre, P.
ORCID
Venue
Springer eBooks
Publisher
Springer New York
Published
2011
DOI
10.1007/978-1-4419-7976-6
OpenAlex
W1492535541
Cited by
2,997
References
0
Citations by year
2026: 101 · 2025: 165 · 2024: 163 · 2023: 147 · 2022: 160 · 2021: 307 · 2020: 328 · 2019: 237 · 2018: 302 · 2017: 226 · 2016: 237 · 2015: 219 · 2014: 172 · 2013: 125 · 2012: 85
FWCI
67.85
Type
book
Language
en
Open access
Licence
Locations
  • Springer eBooks (publishedVersion)
  • International Linear Collider (submittedVersion)
  • Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
  • Physical Sciences › Computer Science › Artificial Intelligence › Data Analysis with R
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords
numerical ecology, R programming language, multivariate analysis, clustering, spatial analysis, ecological data analysis, R package

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