Probabilistic key for identifying vegetation types in the
field: A new method and Android application

J 2019

Probabilistic key for identifying vegetation types in the field: A new method and Android application

TICHÝ, Lubomír a Milan CHYTRÝ

Základní údaje

Originální název

Probabilistic key for identifying vegetation types in the field: A new method and Android application

Autoři

TICHÝ, Lubomír (203 Česká republika, garant, domácí) a Milan CHYTRÝ (203 Česká republika, domácí)

Vydání

Journal of Vegetation Science, HOBOKEN, WILEY, 2019, 1100-9233

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10611 Plant sciences, botany

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.698

Kód RIV

RIV/00216224:14310/19:00108127

Organizační jednotka

Přírodovědecká fakulta

DOI

http://dx.doi.org/10.1111/jvs.12799

UT WoS

000486004900001

Klíčová slova anglicky

Android; field survey; identification; smartphone; software; species composition; tablet; vegetation classification; vegetation survey; vegetation type

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 27. 3. 2020 17:28, Mgr. Marie Šípková, DiS.

Anotace

V originále

Quick identification of vegetation types in the field, based on species composition but not requiring time-consuming plot sampling, is often needed for vegetation mapping, conservation assessment, teaching and other applications of vegetation classification. Here, we propose a new method that identifies the probability of belonging to the units of an established vegetation classification for vegetation stands encountered in the field. The method is based on calculating the probability that a few species observed in the field would co-occur in a priori defined vegetation types, using the existing information on species occurrence frequency in these types. The method has been implemented in a freely available Android application called Probabilistic Vegetation Key, which makes it possible to employ it in the field using smartphones or tablets, even in the absence of internet access.

Návaznosti

GA17-15168S, projekt VaV

Název: Expertní systémy nové generace pro klasifikaci vegetace v kontinentálním měřítku

Investor: Grantová agentura ČR, Next generation expert systems for vegetation classification on a continental scale

Citovat

TICHÝ, Lubomír a Milan CHYTRÝ. Probabilistic key for identifying vegetation types in the field: A new method and Android application. Journal of Vegetation Science. HOBOKEN: WILEY, 2019, roč. 30, č. 5, s. 1035-1038. ISSN 1100-9233. Dostupné z: https://dx.doi.org/10.1111/jvs.12799.

@article{1612596,
   author = {Tichý, Lubomír and Chytrý, Milan},
   article_location = {HOBOKEN},
   article_number = {5},
   doi = {http://dx.doi.org/10.1111/jvs.12799},
   keywords = {Android; field survey; identification; smartphone; software; species composition; tablet; vegetation classification; vegetation survey; vegetation type},
   language = {eng},
   issn = {1100-9233},
   journal = {Journal of Vegetation Science},
   title = {Probabilistic key for identifying vegetation types in the field: A new method and Android application},
   url = {https://onlinelibrary.wiley.com/doi/full/10.1111/jvs.12799},
   volume = {30},
   year = {2019}
}

TY  - JOUR
ID  - 1612596
AU  - Tichý, Lubomír - Chytrý, Milan
PY  - 2019
TI  - Probabilistic key for identifying vegetation types in the field: A new method and Android application
JF  - Journal of Vegetation Science
VL  - 30
IS  - 5
SP  - 1035-1038
EP  - 1035-1038
PB  - WILEY
SN  - 11009233
KW  - Android
KW  - field survey
KW  - identification
KW  - smartphone
KW  - software
KW  - species composition
KW  - tablet
KW  - vegetation classification
KW  - vegetation survey
KW  - vegetation type
UR  - https://onlinelibrary.wiley.com/doi/full/10.1111/jvs.12799
L2  - https://onlinelibrary.wiley.com/doi/full/10.1111/jvs.12799
N2  - Quick identification of vegetation types in the field, based on species composition but not requiring time-consuming plot sampling, is often needed for vegetation mapping, conservation assessment, teaching and other applications of vegetation classification. Here, we propose a new method that identifies the probability of belonging to the units of an established vegetation classification for vegetation stands encountered in the field. The method is based on calculating the probability that a few species observed in the field would co-occur in a priori defined vegetation types, using the existing information on species occurrence frequency in these types. The method has been implemented in a freely available Android application called Probabilistic Vegetation Key, which makes it possible to employ it in the field using smartphones or tablets, even in the absence of internet access.
ER  -

TICHÝ, Lubomír a Milan CHYTRÝ. Probabilistic key for identifying vegetation types in the field: A new method and Android application. \textit{Journal of Vegetation Science}. HOBOKEN: WILEY, 2019, roč.~30, č.~5, s.~1035-1038. ISSN~1100-9233. Dostupné z: https://dx.doi.org/10.1111/jvs.12799.

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