About: Heterogeneity-constrained random resampling of phytosociological databases     Goto   Sponge   NotDistinct   Permalink

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  • 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.
  • 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. (en)
Title
  • Heterogeneity-constrained random resampling of phytosociological databases
  • Heterogeneity-constrained random resampling of phytosociological databases (en)
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  • Heterogeneity-constrained random resampling of phytosociological databases
  • Heterogeneity-constrained random resampling of phytosociological databases (en)
skos:notation
  • RIV/00216224:14310/11:00054653!RIV12-MSM-14310___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021622416)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 201952
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14310/11:00054653
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Data representativeness; Point pattern; Releve; Ripley's K function; Sample plot; Selection; Stratification; Vegetation survey (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [4D05974DEE64]
http://linked.open...i/riv/nazevZdroje
  • Journal of Vegetation Science
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 22
http://linked.open...iv/tvurceVysledku
  • Chytrý, Milan
  • Tichý, Lubomír
  • Lengyel, Attila
http://linked.open...ain/vavai/riv/wos
  • 000286146800016
http://linked.open...n/vavai/riv/zamer
issn
  • 1100-9233
number of pages
http://bibframe.org/vocab/doi
  • 10.1111/j.1654-1103.2010.01225.x
http://localhost/t...ganizacniJednotka
  • 14310
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