readKML.GBIFdensity: Imports GBIF cell density records

In plotKML: Visualization of Spatial and Spatio-Temporal Objects in Google Earth

Imports GBIF cell density records

Description

Read GBIF cell (1–degree) density record counts and converts them to a "raster" object.

Usage

readKML.GBIFdensity(kml.file, gbif.url = FALSE, silent = FALSE)

Arguments

kml.file	GBIF cell density file (local file or URL)
gbif.url	logical; species whether the cellid and taxon content information should be also imported (usually not used)
silent	logical; species whether the progress bar should be printed

Details

This document contains data shared through the GBIF Network — see https://www.gbif.org/occurrence for more information. GBIF records are constantly updated and every map derived refers to a certain date indicated in the @zname Last update slot.
All usage of these data must be in accordance with the GBIF Data Use Agreement: https://www.gbif.org/terms.

Author(s)

Tomislav Hengl

References

• GBIF cell density description (https://www.gbif.org/occurrence)

See Also

readGPX

Examples

## Not run: # reading taxon density maps:
kml.file <- "taxon-celldensity-2294100.kml"
# download.file(paste("http://data.gbif.org/occurrences/taxon/celldensity/", kml.file, sep=""),
# destfile=paste(getwd(), kml.file, sep="")) 
# this will not run (you must first accept the data usage agreeent); 
# instead, obtain the kml file via a web browser, and save it to the working directory:
r <- readKML.GBIFdensity(kml.file)
class(r)
summary(r)
image(r)
# add world borders:
library(maps)
country.m = map('world', plot=FALSE, fill=TRUE)
IDs <- sapply(strsplit(country.m$names, ":"), function(x) x[1])
library(maptools)
country <- as(map2SpatialPolygons(country.m, IDs=IDs), "SpatialLines")
lines(country)
# to import a list of files, use e.g.:
kml.list <- list(kml.file)
r.lst <- lapply(kml.list, readKML.GBIFdensity, silent = TRUE)
# mask out missing layers (empty KML files):
mask <- !sapply(r.lst, is.null)
r.lst <- brick(r.lst[mask])

## End(Not run)

plotKML documentation built on June 7, 2022, 5:07 p.m.