| mapSite {track2KBA} | R Documentation |
Make simple maps of aggregation and important sites
Description
mapSite uses output from findSite to create maps illustrating
density of animals in space, and borders of potentially important areas for
the population.
Usage
mapSite(Site, colony = NULL, show = TRUE)
Arguments
Site |
Simple feature MULTIPOLYGON object or SpatialPixelsDataFrame.
Must be output of |
colony |
data.frame. Optional. Must contain columns named 'Latitude' and 'Longitude', with coordinate 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 (i.e. polyOut = TRUE in
findSite), areas which meet threshold of importance are displayed
(in red) on top of of the estimated density of animals in space. Black
borders are political and coastline borders.If there are no red borders areas
displayed on the map, then either the species doesn't aggregatee enough to
meet the threshold, or the tracked sample aren't representative enough to
identify significant aggregations.
If input is SpatialPixelsDataFrame (i.e. polyOut = FALSE in
findSite), a simple density surface map is plotted.
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.
See Also
Examples
KDE <- track2KBA::KDE_example
## identify potential sites
pot_site <- findSite(KDE, represent = 90, levelUD = 50)
## Map it
mapSite(pot_site)