| LENGYEL, Attila, Milan CHYTRÝ and Lubomír TICHÝ. Heterogeneity-constrained random resampling of phytosociological databases. Journal of Vegetation Science. Oxford: Wiley-Blackwell, 2011, vol. 22, No 1, p. 175-183. ISSN 1100-9233. Available from: https://dx.doi.org/10.1111/j.1654-1103.2010.01225.x. |
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@article{964401,
author = {Lengyel, Attila and Chytrý, Milan and Tichý, Lubomír},
article_location = {Oxford},
article_number = {1},
doi = {http://dx.doi.org/10.1111/j.1654-1103.2010.01225.x},
keywords = {Data representativeness; Point pattern; Releve; Ripley's K function; Sample plot; Selection; Stratification; Vegetation survey},
language = {eng},
issn = {1100-9233},
journal = {Journal of Vegetation Science},
title = {Heterogeneity-constrained random resampling of phytosociological databases},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1654-1103.2010.01225.x/abstract},
volume = {22},
year = {2011}
}
TY - JOUR
ID - 964401
AU - Lengyel, Attila - Chytrý, Milan - Tichý, Lubomír
PY - 2011
TI - Heterogeneity-constrained random resampling of phytosociological databases
JF - Journal of Vegetation Science
VL - 22
IS - 1
SP - 175-183
EP - 175-183
PB - Wiley-Blackwell
SN - 11009233
KW - Data representativeness
KW - Point pattern
KW - Releve
KW - Ripley's K function
KW - Sample plot
KW - Selection
KW - Stratification
KW - Vegetation survey
UR - http://onlinelibrary.wiley.com/doi/10.1111/j.1654-1103.2010.01225.x/abstract
N2 - 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. Conclusions: This new method is efficient for resampling phytosociological databases.
ER -
LENGYEL, Attila, Milan CHYTRÝ and Lubomír TICHÝ. Heterogeneity-constrained random resampling of phytosociological databases. \textit{Journal of Vegetation Science}. Oxford: Wiley-Blackwell, 2011, vol.~22, No~1, p.~175-183. ISSN~1100-9233. Available from: https://dx.doi.org/10.1111/j.1654-1103.2010.01225.x.
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