Golf tee data used in chapter 6 of Advanced Distance Sampling examples
Source:R/mrds-package.R
book.tee.data.RdDouble 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