points.cover.plot: Create a plot of cover for functional groups at each point

In weverkaj/RMN: Tools for the Rangeland Monitoring Network

Description

For veg data, uses lpi data to summarize cover of each functional group at each point.

NOTE woody vegetation was only recorded starting in 2017

Usage

## S3 method for class 'cover.plot'
points(lpi, transect, type = "absolute",
  surveyyear = levels(as.factor(lpi$year)), invasives = FALSE,
  legend.position = "top", pallete = "YlGnBu", x.angle = 45)

Arguments

lpi	A dataframe object of lpi data from a veg survey
transect	Ranch for which to make the plot
type	Type of cover to calculate - either "absolute" or "relative"
surveyyear	Years for which to make the plot. Default is all available years
invasives	Boolean that specifies whether to count invasive species as a separate functional group
legend.position	string specifying legend position
pallete	String identifying color scheme passed to scale_fill_brewer
x.angle	Angle of x axis table

Value

A plot of functional group cover at each point in a dataset

Examples

data = points.cover.plot(lpi, type = "absolute")

weverkaj/RMN documentation built on July 26, 2019, 10:34 p.m.