A nonparametric method for the measurement of size diversity with emphasis on data standardization
By X. Quintana, S. Brucet, D. Boix, R. López-Flores, S. Gascón, A. Badosa, J. Sala, R. Moreno‐Amich, Juan José Egozcue. 2008
83 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/c07612286408e575942369837cd43a5955eecc74
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- K. Gerald van den Boogaart
- Vera Pawlowsky-Glahn
- Juan José Egozcue
- Erik Jeppesen
- Karel Hron
- Josep-Antoni Martín-Fernández
- Peter Filzmoser
- Matthias Templ
In Environmental Engineering
- Vera Pawlowsky-Glahn
- Juan José Egozcue
- K. Gerald van den Boogaart
- Karel Hron
- Peter Filzmoser
- Josep-Antoni Martín-Fernández
- Matthias Templ
- J. Palarea‐Albaladejo
Citations in the corpus
- Bayes Hilbert Spaces (2014, background): “For instance, in Quintana et al. (2008) centring was proposed for entropy or diversity computation.”
- Salinity shapes zooplankton communities and functional diversity and has complex effects on size structure in lakes (2018, methodology): “Size diversity integrates the amplitude of the size range and the size evenness, and it therefore condenses different aspects of the size structure into a single comparable value (Brucet et al., 2006; Quintana et al., 2008).”