plotDens: Plot sample density along HSI gradient

In qureshlatif/WoodpeckerHSI: Woodpecker habitat suitability models

Description

Generates plot of observed (nest) density in moving window bins and suitability classes along habitat suitability index (HSI) gradient.

Usage

  plotDens(dat.plot, dat.class, sampleHSIs, thresholds, binPntSize = 2, classPntSize = 5,
                         axisLabSize = 20, tickLabSize = 15,
                         BS = F, ylabel = "Observed density (nests per 100 ha)",
                         xlabel = "Habitat Suitability Index (HSI)")

Arguments

dat.plot	Data frame with one row for each moving window bin. Ideally, use output from 'calcBinDensities' function.
dat.class	Data frame with one row for each suitability class. Ideally, use output from 'calcClassDensities' function.
sampleHSIs	Numeric vector with HSI values for sample observations (e.g., nest locations; used for rug plot)
thresholds	Numeric vector of HSI breakpoints defining suitability classes
binPntSize	Size of points representing bin densities in plot
classPntSize	Size of points representing class densities in plot
axisLabSize	Size of axis titles
tickLabSize	Size of tick labels
BS	If true, dat.class must include confidence limits (e.g., those generated by the 'HSIClassDensityBS' function), add error bars will be plotted depicting these.
ylabel	Character string - label for y-axis
xlabel	Character string - label for x-axis

Details

Generates plot (using ggplot2 package) showing sample (nest) densities along HSI gradient for publication and assessing goodness-of-fit.

Author(s)

Quresh S. Latif, Rocky Mountain Research Station, U.S. Forest Service

qureshlatif/WoodpeckerHSI documentation built on May 29, 2019, 7:51 a.m.