A brute-force approach to vegetation classification

J 2010

A brute-force approach to vegetation classification

SCHMIDTLEIN, Sebastian, Lubomír TICHÝ, Hannes FEILHAUER a Ulrike FAUDE

Základní údaje

Originální název

A brute-force approach to vegetation classification

Autoři

SCHMIDTLEIN, Sebastian (276 Německo), Lubomír TICHÝ (203 Česká republika, garant), Hannes FEILHAUER (276 Německo) a Ulrike FAUDE (276 Německo)

Vydání

Journal of Vegetation Science, Uppsala, Opulus Press, 2010, 1100-9233

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10600 1.6 Biological sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 2.457

Kód RIV

RIV/00216224:14310/10:00045595

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000283600000014

Klíčová slova anglicky

Cluster optimization; Indicator species; Isomap; Isometric feature mapping; Isopam; Twinspan; Vegetation databases

Změněno: 2. 12. 2010 13:00, doc. Mgr. Lubomír Tichý, Ph.D.

Anotace

V originále

Introduction of a novel approach to the classification of vegetation data (species by plot matrices). This approach copes with a large amount of noise, groups irregularly shaped in attribute space and species turnover within groups. Method The proposed algorithm (Isopam) is based on the classification of ordination scores from isometric feature mapping. Ordination and classification are repeated in a search for either high overall fidelity of species to groups of sites, or high quantity and quality of indicator species for groups of sites. The classification is performed either as a hierarchical, divisive method or as non-hierarchical partitioning. In divisive clustering, resulting groups are subdivided until a stopping criterion is met. Isopam was tested on 20 real-world data sets. The resulting classifications were compared with solutions from eight widely used clustering algorithms. Results When looking at the significance of species fidelities to groups of sites, and at quantity and quality of indicator species, Isopam often achieved high ranks as compared with other algorithms.

Návaznosti

GA206/09/0329, projekt VaV

Název: Vegetace České republiky: dokončení národního přehledu rostlinných společenstev

Investor: Grantová agentura ČR, Vegetace České republiky: dokončení národního přehledu rostlinných společenstev

MSM0021622416, záměr

Název: Diverzita biotických společenstev a populací: kauzální analýza variability v prostoru a čase

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Diverzita biotických společenstev: kauzální analýza variability v prostoru a čase

Citovat

SCHMIDTLEIN, Sebastian, Lubomír TICHÝ, Hannes FEILHAUER a Ulrike FAUDE. A brute-force approach to vegetation classification. Journal of Vegetation Science. Uppsala: Opulus Press, 2010, roč. 21, č. 6, 10 s. ISSN 1100-9233.

@article{910320,
   author = {Schmidtlein, Sebastian and Tichý, Lubomír and Feilhauer, Hannes and Faude, Ulrike},
   article_location = {Uppsala},
   article_number = {6},
   keywords = {Cluster optimization; Indicator species; Isomap; Isometric feature mapping; Isopam; Twinspan; Vegetation databases},
   language = {eng},
   issn = {1100-9233},
   journal = {Journal of Vegetation Science},
   title = {A brute-force approach to vegetation classification},
   volume = {21},
   year = {2010}
}

TY  - JOUR
ID  - 910320
AU  - Schmidtlein, Sebastian - Tichý, Lubomír - Feilhauer, Hannes - Faude, Ulrike
PY  - 2010
TI  - A brute-force approach to vegetation classification
JF  - Journal of Vegetation Science
VL  - 21
IS  - 6
PB  - Opulus Press
SN  - 11009233
KW  - Cluster optimization
KW  - Indicator species
KW  - Isomap
KW  - Isometric feature mapping
KW  - Isopam
KW  - Twinspan
KW  - Vegetation databases
N2  - Introduction of a novel approach to the classification of vegetation data (species by plot matrices). This approach copes with a large amount of noise, groups irregularly shaped in attribute space and species turnover within groups. Method The proposed algorithm (Isopam) is based on the classification of ordination scores from isometric feature mapping. Ordination and classification are repeated in a search for either high overall fidelity of species to groups of sites, or high quantity and quality of indicator species for groups of sites. The classification is performed either as a hierarchical, divisive method or as non-hierarchical partitioning. In divisive clustering, resulting groups are subdivided until a stopping criterion is met. Isopam was tested on 20 real-world data sets. The resulting classifications were compared with solutions from eight widely used clustering algorithms. Results When looking at the significance of species fidelities to groups of sites, and at quantity and quality of indicator species, Isopam often achieved high ranks as compared with other algorithms.
ER  -

SCHMIDTLEIN, Sebastian, Lubomír TICHÝ, Hannes FEILHAUER a Ulrike FAUDE. A brute-force approach to vegetation classification. \textit{Journal of Vegetation Science}. Uppsala: Opulus Press, 2010, roč.~21, č.~6, 10 s. ISSN~1100-9233.

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