cover.sum.plot: Plot species richness and cover
In weverkaj/RMN: Tools for the Rangeland Monitoring Network

Description Usage Arguments Value Examples

For veg data, plots cover of shrubs, trees, litter, thatch, bare ground for each year in which data were collected.

Tree and shrub covers come from releve estimates.

NOTE: Thatch was only measured starting in 2017.

cover.sum.plot(lpi, releve, transect,
  surveyyear = c(levels(as.factor(lpi$year)),
  levels(as.factor(checklist$year))),
  choose.variable = c("SpeciesRichness", "Litter", "Thatch",
  "BareGround", "Trees", "Shrubs"), plot.names = c("Species Richness",
  "Litter", "Thatch", "Bare Ground", "Trees", "Shrubs"),
  multiple_years = TRUE, barcolors = c("olivedrab", "steelblue3",
  "mediumpurple4", "orange3", "tan2"), legend = TRUE,
  legendname = "Year", xlab = "Point ID", ylab = "Value",
  xangle = 45)

`lpi`	A dataframe object of lpi data from a veg survey
`releve`	A dataframe object of releve data from a veg survey
`transect`	Ranch for which to make the plot
`surveyyear`	The years for which to make the table
`choose.variable`	Character vector that identifies which variables to summarize. See cover.summary()
`multiple_years`	Boolean that determines whether multiple years of data are plotted. if FALSE, only most recent year is plotted
`barcolors`	Character vector of bar fill colors for each year of data
`legend`	Boolean that specifies whether to display a legend
`legendname`	A title for your legend
`xlab, ylab`	Labels for axes
`xangle`	Angle to display point names on x axis
`plot.name`	Character vector of names of plots. If choose.variable is manually changed, then plot.names also needs to be changed.