track2KBA (version 1.1.2)

mapKDE: Make simple maps of Kernel Density Estimates

Description

mapKDE uses output from estSpaceUse to create maps illustrating utilization distributions for each ID.

Usage

mapKDE(KDE, colony = NULL, show = TRUE)

Value

Returns a figure of either single map with all core ranges displayed together, or a series of facetted maps, each of which shows a utilization distribution corresponding to a level of ID in KDE.

Arguments

KDE

Simple feature MULTIPOLYGON or estUDm object. Must be output of estSpaceUse function).

colony

data.frame. Optional.'Latitude' and 'Longitude' locations to display reference point of, for example, a breeding or tagging site.

show

logical. show plot, or just save it. Note, saving plot only works for Simple Features input. Default is TRUE.

Details

If the input is simple features polygons, these will be displayed for all IDs on same map. If input estUDm utilization distribution surface, each ID level gets its own facet displaying the full UD.

See Also

estSpaceUse

Examples

## make some play data
dataGroup <- data.frame(Longitude = c(1, 1.01, 1.02, 1.04, 1.05, 1.03, 1), 
                       Latitude =  c(1, 1.01, 1.02, 1.03, 1.021, 1.01, 1),
                       ID = rep("A", 7),
                       DateTime = format(
                         lubridate::ymd_hms("2021-01-01 00:00:00") + 
                         lubridate::hours(0:6)
                         )
)
## project tracks
tracks <- projectTracks(dataGroup, projType = "azim", custom = TRUE)
## estimate utilization distributions for each track
KDE <- estSpaceUse(tracks, scale=10, levelUD = 50)
## map it
mapKDE(KDE)