A shortcut function for constructing a telemetry capthist object from a file of
telemetry fixes. Telemetry data are generally similar in format to polygon data
(see also addTelemetry
).
read.telemetry(file = NULL, data = NULL, covnames = NULL, verify = TRUE, ...)
character name of text file
data.frame containing coordinate data (alternative to file
)
character vector of names for individual covariates
logical for whether to check input
other arguments passed to countfields, read.table etc.
An secr capthist object including attribute `telemetryxy' with the x-y coordinates, and a `traps' object with detector type = `telemetry'
Input data may be in a text file (argument file
) or a dataframe
(argument data
). Data should be in the XY format for function `read.capthist`
i.e. the first 5 columns should be Session, ID, Occasion, X, Y. Further columns are
treated as individual covariates.
No `traps' input is required. A traps object is generated automatically.
# NOT RUN {
# }
# NOT RUN {
setwd('D:/bears/alberta')
## peek at raw data
head(readLines('gps2008.txt'))
gps2008CH <- read.telemetry("gps2008.txt")
plot( gps2008CH, gridsp = 10000)
head(gps2008CH)
secr.fit(gps2008CH, start = log(4000), detectfn = 'HHN',
details = list(telemetryscale = 1e12))
# }
# NOT RUN {
# }
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