Claim · model-written summary
Similarity-based assignment of the remaining relevés further improved agreement with the expert-based classification compared with formal definitions alone.
- Taxon
- subalpine tall-forb vegetationt0
- Treatment
- similarity-based assignmente1
- Outcome
- agreement with the expert-based classificatione1
- Direction
- improvede1
- Comparator
- formal definitionse1
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleSettingValueQualifier
Verbatim
t0“subalpine tall-forb vegetation”
e1“The agreement with the expert-based classification achieved by the formal definitions was still improved after applying the similarity-based assignment”
Title
Martin Kočí; Milan Chytrý; Lubomír Tichý Journal of Vegetation Science 2003. doi:10.1658/1100-9233(2003)014[0601:froaep]2.0.co;2
Other claims from this paper (5)
- Method / resource Combinations of 12 species groups by logical operators yielded formal definitions of 14 of 16 expert-accepted associations.
- Observation Applying the formal definitions to 718 relevés assigned 376 relevés to the associations.
- Method / resource The assignment of relevés agreed well with the original expert-based classification.
- Method / resource A new index based on frequency and fidelity was proposed for calculating similarity between relevé groups.
- Method / resource The expert-based classification can be successfully formalized and converted into a computer expert system, according to the authors.