Learn R Programming

plotKML (version 0.5-4)

bigfoot: Bigfoot reports (USA)

Description

2984 observations of bigfoot (with attached dates). The field occurrence records have been obtained from the http://www.bfro.net/news/google_earth.asp{BigFoot Research Organization (BFRO) website}. The BFRO reports generally consist of a description of the event and where it occurred, plus the quality classification. Similar data set has been used by http://dx.doi.org/10.1111/j.1365-2699.2009.02152.x{Lozier et al. (2009)} to demonstrate possible miss-interpretations of the results of species distribution modeling. The maps in the USAWgrids data set represent typical gridded environmental covariates used for species distribution modeling.

Usage

data(bigfoot)

Arguments

References

  • Lozier, J.D., Aniello, P., Hickerson, M.J., (2009)http://dx.doi.org/10.1111/j.1365-2699.2009.02152.x{Predicting the distribution of Sasquatch in western North America: anything goes with ecological niche modelling}. Journal of Biogeography, 36(9):1623-1627.
  • BigFoot Research Organization (http://www.bfro.net)

Examples

Run this code
# Load the BFRO records:
library(sp)
data(bigfoot)
aea.prj <- "+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=23 +lon_0=-96 
+x_0=0 +y_0=0 +ellps=GRS80 +datum=NAD83 +units=m +no_defs"
library(sp)
coordinates(bigfoot) <- ~Lon+Lat
proj4string(bigfoot) <- CRS("+proj=latlon +datum=WGS84")
library(rgdal)
bigfoot.aea <- spTransform(bigfoot, CRS(aea.prj))
# Load the covariates:
data(USAWgrids)
gridded(USAWgrids) <- ~s1+s2
proj4string(USAWgrids) <- CRS(aea.prj)
# Visualize data:
data(SAGA_pal)
pnts <- list("sp.points", bigfoot.aea, pch="+", col="yellow")
spplot(USAWgrids[2], col.regions=rev(SAGA_pal[[3]]), sp.layout=pnts)

Run the code above in your browser using DataLab