| CalibDataBat2 {IsoriX} | R Documentation |
Calibration dataset for bat species
Description
This dataset contains hydrogen delta values of fur keratin from sedentary bat species captured between 2005 and 2009 from Popa-Lisseanu et al. (2012). The data can be used as an example to fit a calibration model using the function [calibfit].
Format
A *dataframe* with 178 observations on 6 variables:
| [, 1] | site_ID | (*factor*) | Identification of the sampling site |
| [, 2] | long | (*numeric*) | Longitude coordinate (decimal degrees) |
| [, 3] | lat | (*numeric*) | Latitude coordinate (decimal degrees) |
| [, 4] | elev | (*numeric*) | Elevation asl (m) |
| [, 5] | sample_ID | (*factor*) | Identification of the sampled animal |
| [, 6] | sample_value | (*numeric*) | Hydrogen delta value of the tissue |
Details
Users who wish to use their own dataset for calibration should create a *dataframe* of similar structure than this one (only the column 'species' can be dropped). The columns should possess the same names as the ones described above. If the elevation is unknown at the sampling sites, elevation information can be extracted from a high resolution elevation raster using the function [terra::extract] (see **Examples**). Note that the original study used a different source of elevation data.
Source
data directly provided by the authors of the following publication
References
Popa-Lisseanu, A. G., Soergel, K., Luckner, A., Wassenaar, L. I., Ibanez, C., Kramer-Schadt, S., Ciechanowski, M., Goerfoel, T., Niermann, I., Beuneux, G., Myslajek, R. W., Juste, J., Fonderflick, J., Kelm, D., Voigt, C. C. (2012). A triple isotope approach to predict the breeding origins of European bats. PLoS ONE 7(1):e30388.
See Also
[CalibDataBat] for another (related) calibration dataset
[calibfit] to fit a calibration model
Examples
head(CalibDataBat2)
str(CalibDataBat2)
## The following example require to have downloaded
## an elevation raster with the function getelev()
## and will therefore not run unless you uncomment it
# if (require(terra)){
# ## We delete the elevation data
# CalibDataBat2$elev <- NULL
#
# ## We reconstruct the elevation data using an elevation raster
# getelev(file = "elevBats.tif", z = 6,
# lat_min = min(CalibDataBat2$lat),
# lat_max = max(CalibDataBat2$lat),
# long_min = min(CalibDataBat2$long),
# long_max = max(CalibDataBat2$long))
# ElevationRasterBig <- rast("elevBats.tif")
# CalibDataBat2$elev <- extract(
# ElevationRasterBig,
# cbind(CalibDataBat2$long, CalibDataBat2$lat))
# head(CalibDataBat2)
# }