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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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