Ovenbird abundances — oven • detect

Ovenbird abundances from BBS

Usage

data(oven)

Format

A data frame with 891 observations on the following 11 variables.

count: observations
route: route id
stop: stop id within route
pforest: proportion of forest
pdecid: proportion of deciduous forest
pagri: proportion of agricultural areas
long: longitude
lat: latitude
observ: observer, a factor with levels ARS DW RDW SVW
julian: Julian day
timeday: time of day

Source

BBS, Erin Bayne (Univ. Alberta), unpublished data set used in Solymos et al. 2012.

References

Solymos, P., Lele, S. R. and Bayne, E. 2012. Conditional likelihood approach for analyzing single visit abundance survey data in the presence of zero inflation and detection error. Environmetrics, 23, 197--205. <doi:10.1002/env.1149>

Examples

data(oven)
str(oven)
#> 'data.frame':	891 obs. of  11 variables:
#>  $ count  : int  1 0 0 1 0 0 0 0 0 0 ...
#>  $ route  : int  2 2 2 2 2 2 2 2 2 2 ...
#>  $ stop   : int  2 4 6 8 10 12 14 16 18 20 ...
#>  $ pforest: num  0.947 0.903 0.814 0.89 0.542 ...
#>  $ pdecid : num  0.575 0.562 0.549 0.679 0.344 ...
#>  $ pagri  : num  0 0 0 0 0.414 ...
#>  $ long   : num  609343 608556 607738 607680 607944 ...
#>  $ lat    : num  5949071 5947735 5946301 5944720 5943088 ...
#>  $ observ : Factor w/ 4 levels "ARS","DW","RDW",..: 4 4 4 4 4 4 4 4 4 4 ...
#>  $ julian : int  181 181 181 181 181 181 181 181 181 181 ...
#>  $ timeday: int  2 4 6 8 10 12 14 16 18 20 ...