Raw turkey dataset
The format is a dataframe
Unique identifier for each GPS location attempt, NA's are allowed
Date for each fix taken
Time for each fix taken
Number of satellites used to calculate location
Horizontal dilution of precision; measure of positional accuracy (lower is better)
The raw turkey dataset is exactly what it says it is, a unformatted dataset which I have not turned into a
move object, however, the code
for manipulation a raw dataset such as this into a
move object is included below. Additionally, the code below suggests that the user look at their
data before creating the
move object, as this is a nice example of having one outlier point that causes problems when estimating the utilization
Guthrie, J. D., M. E. Byrne, J. B. Hardin, C. O. Kochanny, K. L. Skow, R. T. Snelgrove, M. J. Butler, M. J. Peterson, M. J. Chamberlain, and B. A. Collier. 2011. Evaluation of a GPS backpack transmitter for wild turkey research. Journal of Wildlife Management 75:539-547.
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data(rawturkey) head(rawturkey) plot(rawturkey$Lon, rawturkey$Lat) rawturkey=rawturkey[rawturkey$Lon< -98.1,] turkey=na.omit(rawturkey) #rawturkey$DateTime=strptime(paste(rawturkey$FixDate, rawturkey$FixTime),"%m/%d/%Y %H:%M:%S") #Create object of class: move #move.out <- move(x=turkey$Lon, y=turkey$Lat, time=as.POSIXct(turkey$DateTime, tz="GMT"), data=turkey, proj=CRS("+proj=longlat"), animal="3057") #out <- spTransform(move.out, CRSobj="+proj=aeqd", center=TRUE) #turkey <- brownian.bridge.dyn(object=out, location.error=15, margin=5, window.size=21, dimSize=85)
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