book.tee.data: Golf tee data used in chapter 6 of Advanced Distance Sampling...
In mrds: Mark-Recapture Distance Sampling

book.tee.data

R Documentation

Golf tee data used in chapter 6 of Advanced Distance Sampling examples

Description

Double platform data collected in a line transect survey of golf tees by 2 observers at St. Andrews. Field sex was actually colour of the golf tee: 0 - green; 1 - yellow. Exposure was either low (0) or high(1) depending on height of tee above the ground. size was the number of tees in an observed cluster.

Format

A list of 4 dataframes, with the list elements named: book.tee.dataframe, book.tee.region, book.tee.samples and book.tee.obs.

book.tee.dataframe is the distance sampling data dataframe. Used in the call to fit the detection function in ddf. Contains the following columns:

object: numeric object id
observer: factor representing observer 1 or 2
detected: numeric 1 if the animal was detected 0 otherwise
distance: numeric value for the distance the animal was detected
size: numeric value for the group size
sex: numeric value for sex of animal
exposure: numeric value for exposure level 0 or 1

book.tee.region: is the region table dataframe. Used to supply the strata areas to the dht function. Contains the following columns:

Region.Label: factor giving the strata labels
Area: numeric value giving the strata areas

book.tee.samples is the samples table dataframe to match the transect ids to the region ids and supply the effort. Used in the dht function. Contains the following columns:

Sample.Label: numeric giving the sample / transect labels
Region.Label: factor giving the strata labels
Effort: numeric value giving the sample / transect lengths

book.tee.obs is the observations table dataframe to match the object ids in the distance data to the transect labels. Used in the dht function. Contains the following columns:

object: numeric value object id
Region.Label: factor giving the strata labels
Sample.Label: numeric giving the sample / transect labels