agonzalez Posted October 16, 2017 Share Posted October 16, 2017 Hi everyone, I used FlightR to analyze seven tags from Thrushes tagged in South America and it worked pretty well. Now, I'm running a tag for a different Thrush species (I know this species migrates way slower than the first one) but the results don't seem to make sense. When I plot the results the bird is all over the map and the migratory path is like a zigzag. The light data is very clean, and I'm doing exactly what I did for the first species. Has anyone run into the same issue? I really don't know what to do to improve the results. Any advice will be appreciated. Thanks! Ana Link to comment Share on other sites More sharing options...
Eldar Posted October 17, 2017 Share Posted October 17, 2017 Hi Ana, Could you please send me your script, TAGS formatted csv and the Result file (through wetransfer or googledrive)? I will have a look then. Link to comment Share on other sites More sharing options...
Eldar Posted October 30, 2017 Share Posted October 30, 2017 Hi Ana, I looked at your data and it looks like you have some problems with the calibration times: try Calibration.periods<-data.frame( calibration.start=as.POSIXct(c(NA, "2014-10-20")), calibration.stop=as.POSIXct(c("2014-04-10", NA)), lon=-74.51644, lat=4.36459) This will create you following data.frame: calibration.start calibration.stop lon lat 1 <NA> 2014-04-10 -74.51644 4.36459 2 2014-10-20 <NA> -74.51644 4.36459 First line makes first calibration period and second line second. Results look ok in this case but some outliers still remain. Hope it helps, Eldar Link to comment Share on other sites More sharing options...
agonzalez Posted November 9, 2017 Author Share Posted November 9, 2017 Hi Eldar, Thanks so much for your help. I'll be more conservative when using the graph resulting from "plot_slopes_by_location" to select my calibration periods. Any advice to deal with the outliers? Thanks again, Ana Link to comment Share on other sites More sharing options...
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