The Atlas of Living Australia (ALA) provides tools to enable users of biodiversity information to find, access, combine and visualise data on Australian plants and animals; these have been made available from http://www.ala.org.au/. Here we provide a subset of the tools to be directly used within R.
The use-examples presented at the 2014 ALA Science Symposium are available in the package vignette, via (in R): vignette("ALA4R")
and also as a pdf here.
In R:
install.packages("devtools")
library(devtools)
install_github("AtlasOfLivingAustralia/ALA4R")
You may see a warning about the Rtools
package: you don't need to install this. You may also be asked about a location for the R.cache
directory --- choose whatever you prefer here, ALA4R does not use R.cache
.
If you wish to use the data.table
package for potentially faster loading of data matrices (optional), also do:
install.packages("data.table")
First, ensure that libcurl
is installed on your system --- e.g. on Ubuntu, open a terminal and do:
sudo apt-get install libcurl4-openssl-dev
or install libcurl4-openssl-dev
via the Software Centre.
Then follow the instructions for Windows, above.
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