calc_mcp: Calculate MCPs
In benjamin-merkel/ProMM: probabilistic algorithm for geolocation data
calc_mcp R Documentation
Calculate MCPs
Description
This function calculates minimum convex polygons (MCP). It is based on the mcp function from adehabitatHR.
It does not calculate area and does not require a minimum number of points. It is independent of adehabitatHR and sp, but relies on sf.
Usage
calc_mcp(xy, percent = 100)
Arguments
xy
SF POINTS data.frame with one column denoting polygon ID.
percent
Percentage considered to determine MCP
prob1
lower quantile considered
prob2
upper quantile considered
benjamin-merkel/ProMM documentation built on Sept. 15, 2023, 9:14 a.m.
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| calc_mcp | R Documentation |
Calculate MCPs
Description
This function calculates minimum convex polygons (MCP). It is based on the mcp function from adehabitatHR. It does not calculate area and does not require a minimum number of points. It is independent of adehabitatHR and sp, but relies on sf.
Usage
calc_mcp(xy, percent = 100)
Arguments
xy |
SF POINTS data.frame with one column denoting polygon ID. |
percent |
Percentage considered to determine MCP |
prob1 |
lower quantile considered |
prob2 |
upper quantile considered |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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