xytb is a trajectory object with observed behaviour
desca character vector. A description of the data.
xyta data frame of the track information. One row is one position described by 11 variables :
| id: | individual id |
| t: | time in POSIXct |
| x: | longitude |
| y: | latitude |
| dt: | time (s) between the current location and the next one |
| dist: | distance (m) between the current location and the next one calculated using the Vincenty ellipsoid method. See distVincentyEllipsoid) |
| v: | speed (m.s^-1) |
| dx: | the increase of the move in the x direction. |
| dy: | the increase of the move in the y direction. |
| theta: | the angle between each move and the x axis. |
| thetarel: | the turning angle between successive moves. |
This slot is very similar to the ltraj class of the adehabitatLT package.
ba data frame of the observed behaviour related to the track. One row is one behavioural observation related to the track described by 3 variables:
| id: | individual id |
| t: | time in POSIXct |
| b: | observed behaviour (character) |
dxyta data frame of the derived variables from the track.
befdxyta data frame of the derived variables shifted back in time.
modela randomForest model (see randomForest).
rfcvthe output of the cross-validation procedure (see rfcv).
predba data frame of the predicted behaviour using the random forest model of the slot model. 3 variables :
| id: | individual id |
| t: | time in POSIXct |
| b: | observed behaviour (character) |
Laurent Dubroca