trichoptera: Trichoptera data set

In PLN-team/PLNmodels: Poisson Lognormal Models

Trichoptera data set

Description

Data gathered between 1959 and 1960 during 49 insect trapping nights. For each trapping night, the abundance of 17 Trichoptera species is recorded as well as 6 meteorological variables which may influence the abundance of each species. Finally, the observations (that is to say, the trapping nights), have been classified into 12 groups corresponding to contiguous nights between summer 1959 and summer 1960.

Usage

trichoptera

Format

A list with 2 two data frames:

Abundance

a 49 x 17 matrix of abundancies/counts (49 trapping nights and 17 trichoptera species)

Covariate

a 49 x 7 data frame of covariates:

Temperature

Evening Temperature in Celsius

Wind

Wind in m/s

Pressure

Pressure in mm Hg

Humidity

relative to evening humidity in percent

Cloudiness

proportion of sky coverage at 9pm

Precipitation

Nighttime precipitation in mm

Group

a factor of 12 levels for the definition of the consecutive night groups

In order to prepare the data for using formula in multivariate analysis (multiple outputs and inputs), use prepare_data(). We only kept a subset of the original meteorological covariates for illustration purposes.

Source

Data from P. Usseglio-Polatera.

References

Usseglio-Polatera, P. and Auda, Y. (1987) Influence des facteurs météorologiques sur les résultats de piégeage lumineux. Annales de Limnologie, 23, 65–79. (code des espèces p. 76) See a data description at http://pbil.univ-lyon1.fr/R/pdf/pps034.pdf (in French)

See Also

prepare_data()

Examples

data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)

PLN-team/PLNmodels documentation built on Oct. 13, 2024, 4:01 a.m.