subspeciesDensityMap: Generate Subspecies Density Maps

View source: R/IdentifyBirdSubspecies.R

subspeciesDensityMapR Documentation

Generate Subspecies Density Maps

Usage

subspeciesDensityMap(
  localities,
  quant = 0.95,
  xmin = NULL,
  xmax = NULL,
  ymin = NULL,
  ymax = NULL,
  total_range
)

Arguments

localities

Labeled localities as generated from labelSubspecies() or subspeciesOccQuery()

quant

quant for density, below which points are removed. E.g., if set to 0.95, removes 95

\item

xminMinimum longitude extent to clip to

\item

xmaxMaximum longitude extent to clip to

\item

yminMinimum latitute extent to clip to

\item

ymaxMaximum latitude extent to clip to

This function uses 2D kernel density estimation to make a density raster of points for each subspecies. It then removes all but the most dense cells as definied by quant.

listFromSubspeciesOcc = subspeciesOccQuery(spp="Cardinalis sinuatus", subsppList=c("sinuatus","peninsulae","fulvescens"),pointLimit=100, dbToQuery="gbif") labeledLoc = labelSubspecies(subsppOccList=listFromSubspeciesOcc) locs = labeledLoc[labeledLoc$subspecies=="sinuatus",] dens = subspeciesDensityMap(localities=locs,quant=0.95, xmin=-125,xmax=-60,ymin=10,ymax=50)


kaiyaprovost/subsppLabelR documentation built on March 17, 2024, 5:09 p.m.