Heterogeneity-constrained random resampling of phytosociological databases

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F11%3A00054653" target="_blank" >RIV/00216224:14310/11:00054653 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1111/j.1654-1103.2010.01225.x" target="_blank" >http://dx.doi.org/10.1111/j.1654-1103.2010.01225.x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/j.1654-1103.2010.01225.x" target="_blank" >10.1111/j.1654-1103.2010.01225.x</a>

Result language
angličtina
Original language name
Heterogeneity-constrained random resampling of phytosociological databases
Original language description
Aim: Phytosociological databases often contain unbalanced samples of real vegetation, which should be carefully resampled before any analyses. We propose a new resampling method based on species composition, called heterogeneity-constrained random (HCR)resampling. Method: Many subsets of the source vegetation database are selected randomly. These subsets are sorted by decreasing mean dissimilarity between pairs of the vegetation plots, and then sorted again by increasing variance of these dissimilarities. Ranks from both sortings are summed for each subset, and the subset with the lowest summed rank is considered as the most representative. Results: Both stratified and HCR resampling yielded selection patterns more similar to the reference than resampling without these tools. Outcomes from the resampling that combined these two methods were the most similar to the reference. The efficiency of the HCR resampling method varied with different levels of aggregation in the database.
Czech name
—
Czech description
—

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EF - Botany
OECD FORD branch
—

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)