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This post was updated on August 20, 2014, with AntWeb version 0.7.2.99. Please install an updated version to make sure the code works. -- This post was updated on August 20, 2014, with AntWeb version 0.7.2.99. Please install an updated version to make sure the code works. Data on more than 10,000 species of ants recorded worldwide are available through from California Academy of Sciences' AntWeb, a repository that boasts a wealth of natural history data, digital images, and specimen records on ant species from a large community of museum curators....
rgbif is an R package to search and retrieve data from the Global Biodiverity Information Facilty (GBIF). rgbif wraps R code around the [GBIF API][gbifapi] to allow you to talk to GBIF from R. We just pushed a new verion of rgbif to cran - v0.5.0. Source and binary files are now available on CRAN. There are a few new functions: count_facet, elevation, and installations. These are described, with examples, below....
In a recent blog post we discussed caching calls to the web offline, on your own computer. Just like you can cache data on your own computer, a data provider can do the same thing. Most of the data providers we work with do not provide caching. However, at least one does: EOL, or Encyclopedia of Life. EOL allows you to set the amount of time (in seconds) that the call is cached, within which time you can make the same call and get the data back faster....
Our team has been cranking out a large number of tools over the past several months. As regular readers are aware, our software packages provide programmatic access to a diverse and extensive trove of scientific data. More recently we’ve expanded our efforts to build more general purpose and cross-domain tools. These include tools for reading, writing, integrating and publishing data, a unit testing platform for data, and a mapping engine that can visualize various kinds of spatial data....
I’ve recently heard the idea of “offline first” via especially Hood.ie. We of course don’t do web development, but primarily build R interfaces to data on the web. Internet availablility is increasinghly ubiqutous, but there still are times and places where you don’t have internet, but need to get work done. In the R packages we write there are generally two steps to every workflow: Make a call to the web to request data and collect data Rearrange the result as some sort of R object (e....
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