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(This article was first published on » R, and kindly contributed to R-bloggers)

Tools are major enablers of Linked Science. One crucial aspect is how to access and analyze data, and especially how to get only that part of data which is of interest for a given research question. Linked Data solves the access part, and SPARQL allows to query only a subset of the data. For statistical computing there are tools like R. As a solution to bridge the two communities, those of statistical computing and semantic web, there is now a SPARQL Package for R, which enables to get data from Linked Data services to R for analysis. At LinkedScience.org you may now find a tutorial on SPARQL Package for R. By following it you can learn:

how to access and query Linked Spatiotemporal Data of the deforestation statistics related to the Brazilian Amazon Rainforest, and

how to analyze it within R (which is a free software environment for statistical computing).

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