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@inproceedings{722230,
author = {Jarkovský, Jiří and Némethová, Danka and Kubík, Vratislav and Dušek, Ladislav},
address = {Brno},
booktitle = {Proceedings of the 3rd Internationl Summer School on Computational Biology},
edition = {1},
keywords = {diversity; ecology; multivariate statistics; diversity indices; clustering; ordination},
language = {eng},
location = {Brno},
isbn = {978-80-210-4370-1},
pages = {31-41},
publisher = {Masaryk University},
title = {Species-Abundance Diversity: from Biodiversity Indices to Multivariate Analyses and Computer-Assisted Simulations},
year = {2007}
}
TY - JOUR
ID - 722230
AU - Jarkovský, Jiří - Némethová, Danka - Kubík, Vratislav - Dušek, Ladislav
PY - 2007
TI - Species-Abundance Diversity: from Biodiversity Indices to Multivariate Analyses and Computer-Assisted Simulations
PB - Masaryk University
CY - Brno
SN - 9788021043701
KW - diversity
KW - ecology
KW - multivariate statistics
KW - diversity indices
KW - clustering
KW - ordination
N2 - The biodiversity is the key concept of ecology and its understanding and analysis is crucial for any ecological research. There are three main approaches to answer the questions on biodiversity: diversity indices, species abundance models and multivariate analysis of biological communities. The analysis of biodiversity data is a very complex task and requires adopting several various methods of their analysis (diversity indices, species abundance models, multivariate analysis). Only the combination of methods supported by the ecological knowledge of species and underlying processes is the correct way of biodiversity data analysis.
ER -
JARKOVSKÝ, Jiří, Danka NÉMETHOVÁ, Vratislav KUBÍK a Ladislav DUŠEK. Species-Abundance Diversity: from Biodiversity Indices to Multivariate Analyses and Computer-Assisted Simulations. In \textit{Proceedings of the 3rd Internationl Summer School on Computational Biology}. 1. vyd. Brno: Masaryk University, 2007, s.~31-41. ISBN~978-80-210-4370-1.
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