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 and Milan CHYTRÝ

Basic information

Original name

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

Authors

TICHÝ, Lubomír (203 Czech Republic, guarantor, belonging to the institution) and Milan CHYTRÝ (203 Czech Republic, belonging to the institution)

Edition

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

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10611 Plant sciences, botany

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 2.698

RIV identification code

RIV/00216224:14310/19:00108127

Organization unit

Faculty of Science

DOI

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

UT WoS

000486004900001

Keywords in English

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

Abstract

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.

Links

GA17-15168S, research and development project

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

Investor: Czech Science Foundation

Citovat

TICHÝ, Lubomír and Milan CHYTRÝ. Probabilistic key for identifying vegetation types in the field: A new method and Android application. Journal of Vegetation Science. HOBOKEN: WILEY, 2019, vol. 30, No 5, p. 1035-1038. ISSN 1100-9233. Available from: https://dx.doi.org/10.1111/jvs.12799.

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   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
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VL  - 30
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PB  - WILEY
SN  - 11009233
KW  - Android
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KW  - identification
KW  - smartphone
KW  - software
KW  - species composition
KW  - tablet
KW  - vegetation classification
KW  - vegetation survey
KW  - vegetation type
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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 and 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, vol.~30, No~5, p.~1035-1038. ISSN~1100-9233. Available from: https://dx.doi.org/10.1111/jvs.12799.

Detailed Information on Publication Record