plotOrnithoRaster: Plot Rasterized Distribution Data

In heibl/rornitho: Functions for Visualisation of Ornitho Bird Observations

Description

Rasterize point distribution data and plot the result as heatmap.

Usage

plotOrnithoRaster(x, map, model = "maxInd", 
    col, gridcol = "grey25", legend)

Arguments

x	an object of class ornithoSpec.
map	an object of class ornithoMap containing the grid that defines the resolution of the raster.
model	a character string that gives the raster model that will be applied for species with more than rasterize observations; the choices are "sumObs", "sumInd", and "maxInd" (see Details).
col	a nine-level color palette for the frequency classes of the discretized bird count data.
gridcol	a character string giving the color of the grid for plotting; setting gridcol = NA suppresses the plotting of the grid.
legend	logical indicating if a legend of frequency classes should be plotted.

Author(s)

Simon Thorn and Christoph Heibl

See Also

plotOrnithoPoints for plotting the raw vector data; plotOrnithoMap for plotting a base map with topographical features; plotOrnitho for the top-level plotting function.

Examples

data(amsel)
data(hessen_map)
par(mfcol = c(1, 3), mar = c(5, 0, 5, 0))
plotOrnithoRaster(amsel, hessen_map, model = "sumObs",
  legend = FALSE)
title(main = "sumObs", 
    sub = "Sum of observations")
plotOrnithoRaster(amsel, hessen_map, model = "sumInd",
  legend = FALSE)
title(main = "sumInd", 
    sub = "Sum of all counts")
plotOrnithoRaster(amsel, hessen_map,
  legend = FALSE)
title(main = "maxInd", 
    sub = "Highest count of individuals")

heibl/rornitho documentation built on May 17, 2019, 3:22 p.m.