estMCP: Estimate Minimum Convex Polygon (MCP) Isotope Niche

In rKIN: (Kernel) Isotope Niche Estimation

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)

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.

Value

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

Author(s)

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")

rKIN documentation built on Oct. 3, 2023, 1:06 a.m.