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partykit (version 1.0-5)

HuntingSpiders: Abundance of Hunting Spiders

Description

Abundances for 12 species of hunting spiders along with environmental predictors, all rated on a 0--9 scale.

Usage

data("HuntingSpiders")

Arguments

Format

A data frame containing 28 observations on 18 variables (12 species abundances and 6 environmental predictors).
arct.lute
numeric. Abundance of species Arctosa lutetiana (on a scale 0--9).
pard.lugu
numeric. Abundance of species Pardosa lugubris (on a scale 0--9).
zora.spin
numeric. Abundance of species Zora spinimana (on a scale 0--9).
pard.nigr
numeric. Abundance of species Pardosa nigriceps (on a scale 0--9).
pard.pull
numeric. Abundance of species Pardosa pullata (on a scale 0--9).
aulo.albi
numeric. Abundance of species Aulonia albimana (on a scale 0--9).
troc.terr
numeric. Abundance of species Trochosa terricola (on a scale 0--9).
alop.cune
numeric. Abundance of species Alopecosa cuneata (on a scale 0--9).
pard.mont
numeric. Abundance of species Pardosa monticola (on a scale 0--9).
alop.acce
numeric. Abundance of species Alopecosa accentuata (on a scale 0--9).
alop.fabr
numeric. Abundance of species Alopecosa fabrilis (on a scale 0--9).
arct.peri
numeric. Abundance of species Arctosa perita (on a scale 0--9).
water
numeric. Environmental predictor on a scale 0--9.
sand
numeric. Environmental predictor on a scale 0--9.
moss
numeric. Environmental predictor on a scale 0--9.
reft
numeric. Environmental predictor on a scale 0--9.
twigs
numeric. Environmental predictor on a scale 0--9.
herbs
numeric. Environmental predictor on a scale 0--9.

Source

Package mvpart (currently archived, see http://CRAN.R-project.org/package=mvpart).

Details

The data were originally analyzed by Van der Aart and Smeenk-Enserink (1975). De'ath (2002) transformed all variables to the 0--9 scale and employed multivariate regression trees.

References

Van der Aart PJM, Smeenk-Enserink N (1975). Correlations between Distributions of Hunting Spiders (Lycosidae, Ctenidae) and Environmental Characteristics in a Dune Area. Netherlands Journal of Zoology, 25, 1--45.

De'ath G (2002). Multivariate Regression Trees: A New Technique for Modelling Species-Environment Relationships. Ecology, 83(4), 1103--1117.

Examples

Run this code
## load data
data("HuntingSpiders", package = "partykit")

## fit multivariate tree for 12-dimensional species abundance
sptree <- ctree(arct.lute + pard.lugu + zora.spin + pard.nigr + pard.pull +
  aulo.albi + troc.terr + alop.cune + pard.mont + alop.acce + alop.fabr +
  arct.peri ~ herbs + reft + moss + sand + twigs + water, data = HuntingSpiders,
  teststat = "max", minsplit = 5)
plot(sptree, terminal_panel = node_barplot)

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