rKIN (version 1.0.4)

estMCP: Estimate Minimum Convex Polygon (MCP) Isotope Niche

Description

Calculates the Minimum Convex Polygon for isotopic values at multiple confidence levels. Returns a list of sf data frames, each list item representing the grouping variable (i.e. species).

Usage

estMCP(data, x, y, group, levels = c(50, 75, 95), smallSamp = FALSE)

Value

A list of sf data frames, each list item representing the grouping variable.

Arguments

data

data.frame object containing columns of isotopic values and grouping variables

x

character giving the column name of the x coordinates

y

character giving the column name of the y coordinates

group

character giving the column name of the grouping variable (i.e. species)

levels

Numeric vector of desired percent levels (e.g. c(10, 50, 90). Should not be less than 1 or greater than 100)

smallSamp

logical value indicating whether to override minimum number of samples. Currently 10 samples are required.

Author

Shannon E. Albeke, Wyoming Geographic Information Science Center, University of Wyoming

Examples

library(rKIN)
data("rodents")
#estimate niche overlap between 2 species using minimum convex polygons
test.mcp<- estMCP(data=rodents, x="Ave_C", y="Ave_N", group="Species",
                   levels=c(50, 75, 95))
#determine polygon overlap for all polygons
plotKIN(test.mcp, scaler=2, title="Minimum Convex Hull Estimates", xlab="Ave_C", ylab="Ave_N")