Systematic_variance_1: Simulation of encounter rate variance

In DistanceDevelopment/dsdata: Distance sampling workshop data

Description

Simulated line transect data with large differences in transect length. In systematic_var_2 that transect length gradient is coupled with a strong animal gradient; exaggerating encounter rate variance between transects.

Format

data.frame with 253 observations of 7 variables:

Region.Label	stratum label (default)
Area	stratum area (0.5 km^2)
Sample.Label	transect identifier
Effort	transect length (km)
object	object ID
distance	perpendicular distance (m)
Study.Area	name of study area

Details

True population size is 1000 objects in the study area of size 0.5 km^2; such that true density is 2000 objects per km.

Note

Data structure for systematic_var_2 is identical, but there are 256 observations and a strong animal gradient.

References

Fewster, R.M., S.T. Buckland, K.P. Burnham, D.L. Borchers, P.E. Jupp, J.L. Laake and L. Thomas. (2009) Estimating the encounter rate variance in distance sampling. Biometrics 65 (1): 225–236. https://doi.org/10.1111/j.1541-0420.2008.01018.x.

DistanceDevelopment/dsdata documentation built on July 29, 2020, 11 p.m.