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 ARSDWRDWSVW
julian
Julian day
timeday
time of day
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>