Description Usage Arguments Details Value Examples

Identifies and removes timepoints when tracked individuals were observed outside of a defined polygon (note: the polygon should be described by the vectors confinementCoord.x (x coordinates) and confinementCoord.y (y coordinates). These vectors must be the same length and the coordinates should be listed in the clockwise or counter-clockwise order that they are observed on the confining polygon.

1 2 3 4 5 6 7 8 |

`x` |
Data frame or non-data-frame list that will be filtered. |

`point.x` |
Vector of length nrow(data.frame(x)) or singular character data, detailing the relevant colname in x, that denotes what planar-x or longitude coordinate information will be used. If argument == NULL, the function assumes a column with the colname "x" exists in x. Defaults to NULL. |

`point.y` |
Vector of length nrow(data.frame(x)) or singular character data, detailing the relevant colname in x, that denotes what planar-y or lattitude coordinate information will be used. If argument == NULL, the function assumes a column with the colname "y" exists in x. Defaults to NULL. |

`confinementCoord.x` |
Vector describing x-coordinates of confining-polygon vertices. Each vertex should be described in clockwise or counter-clockwise order, and ordering should be consistent with confinementCoord.y. |

`confinementCoord.y` |
Vector describing y-coordinates of confining-polygon vertices. Each vertex should be described in clockwise or counter-clockwise order, and ordering should be consistent with confinementCoord.x. |

`filterOutput` |
Logical. If TRUE, output will be a data frame or list of data frames (depending on whether or not x is a data frame or not) containing only points within confinement polygons. If FALSE, no observations are removed and a "confinement_status" column is appended to x, detailing the relationship of each point to the confinement polygon. Defaults to TRUE. |

If users are not actually interested in filtering datasets, but rather, determining what observations should be filtered, they may set filterOutput == FALSE. By doing so, this function will append a "confinement_status" column to the output dataframe, which reports the results of sp::point.in.polygon function that is used to determine if individuals are confined within a given polygon. In this column, values are: 0: point is strictly exterior to pol; 1: point is strictly interior to pol; 2: point lies on the relative interior of an edge of pol; 3: point is a vertex of pol (see ?sp::point.in.polygon).

If filterOutput == TRUE, returns `x`

less observations where
points were located outside of the polygon defined by points in
`confinementCoord.x`

and `confinementCoord.y`

.

If filterOutput == FALSE, returns `x`

appended with a
"confinement_status" column which reports the results of
sp::point.in.polygon function, which is used to determine if observed
points are confined within the polygon defined by points in
`confinementCoord.x`

and `confinementCoord.y`

.

1 2 3 4 5 6 7 8 9 10 11 12 | ```
data("calves")
water_trough.x<- c(61.43315, 61.89377, 62.37518, 61.82622) #water polygon x-coordinates
water_trough.y<- c(62.44815, 62.73341, 61.93864, 61.67411) #water polygon y-coordinates
headWater1<- confine(calves, point.x = calves$x, point.y = calves$y,
confinementCoord.x = water_trough.x, confinementCoord.y = water_trough.y,
filterOutput = TRUE) #creates a data set comprised ONLY of points within the water polygon.
headWater2<- confine(calves, point.x = calves$x, point.y = calves$y,
confinementCoord.x = water_trough.x, confinementCoord.y = water_trough.y,
filterOutput = FALSE) #appends the "confinement_status" column to x.
``` |

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