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@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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