HRprocess | R Documentation |
Internal function to run HRSummary
.
HRprocess(
cenac,
utm,
ll,
type = "MCP",
h = 200,
ext = 2,
grid = 200,
sub = "%Y-%m",
cont = c(50, 95),
cumulative = FALSE,
storepoly = FALSE,
div = 4
)
cenac |
center of activity positions generated from |
utm |
a projected coordinate reference system in meters used to accurately estimate area (see |
ll |
a geographic coordinate reference system in meters used to accurately estimate area (see |
type |
type of activity space metric to calculate. Currently "MCP" for minimum convex polygons, "fKUD" for fixed KUD and "BBKUD" for Brownian bridge KUD. Defaults to "MCP" when no value provided. |
h |
smoothing factor (in m) associated with error associated with reciever range of passive telemetry system. Defaults to 200 m if none provided. |
ext |
spatial extent used to calculate probability density metrics of activity space ('fKUD', 'BBKUD') |
grid |
grid size used to calculate probability density metrics of activity space ('fKUD', 'BBKUD') |
sub |
temporal subset used to calculate subsetted activity space metrics. Currently supports monthly ('%Y-%m') or weekly ('%Y-%W'). Defaults to monthly. |
cont |
contours of activity space models to estimate areas. Defaults to 50% and 95% contours |
cumulative |
TRUE/FALSE, should the operation calculate cumulative activity space areas. Caution this may take a long time depending on size of dataset. |
storepoly |
TRUE/FALSE, should activity space metrics be saved as spatial objects (polygons or rasters) |
div |
sig1 divisor used to correct BBKUD estimates. |
Produces a list of 2 tibbles containing Overall (full tag life) and Subsetted (user-defined temporal subsets) metrics of activity space. If storepoly=TRUE additional object within list containing spatial objects (MCP polygons or KUD rasters). Temporal subsets are currently restricted to monthly ('%Y-%m') or weekly ('%Y-%W'). Cumulative measures across temporal subsets included if cumulative=TRUE.
Input data needs to be setup using setupData
, and COAs calculated using COA
.
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