Implementing the formal language of the vegetation classification expert systems (ESy) in the statistical computing environment R
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F21%3A00119069" target="_blank" >RIV/00216224:14310/21:00119069 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1111/avsc.12562" target="_blank" >https://doi.org/10.1111/avsc.12562</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/avsc.12562" target="_blank" >10.1111/avsc.12562</a>
Alternative languages
Result language
angličtina
Original language name
Implementing the formal language of the vegetation classification expert systems (ESy) in the statistical computing environment R
Original language description
Aims The machine-readable formal language of classification expert systems has become a standard for applying plot assignment rules in vegetation classification. Here we present an efficient algorithm implementing the vegetation classification expert system in the statistical programming language R. Methods The principal idea of the R implementation is to solve the assignments to vegetation types not sequentially plot by plot but to parse the assignment rules into (nested) components that each can be evaluated by simultaneous vector-based processing of all plots in a database. Results and conclusions We demonstrate the algorithm taking the EUNIS classification expert system of European habitat types (EUNIS-ESy) as an example. The R code version of the vegetation classification expert system is particularly useful in large vegetation-plot databases because it solves all logical operations vector-wise across all plots, allowing for efficient evaluation of membership expressions and formulas. Another advantage of the R implementation is that membership formulas are not only readable but can also be produced as a machine-written result, for example as the output of classification algorithms run in R.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10611 - Plant sciences, botany
Result continuities
Project
<a href="/en/project/GX19-28491X" target="_blank" >GX19-28491X: Centre for European Vegetation Syntheses (CEVS)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Vegetation Science
ISSN
1402-2001
e-ISSN
1654-109X
Volume of the periodical
24
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
„e12562“
UT code for WoS article
000636291500003
EID of the result in the Scopus database
2-s2.0-85103416653