The R Project for Statistical Computing

The Romanian Team promote the R project for statistical computing to provide a free and open source software environment for data analysis and graphics in Romania.

R Foundation - R: The R Project for Statistical Computing

Almost all the interesting data collected in geographical studies are from known locations on, in or over the Earth’s surface. These data usually have a spatial structure that can be visualized and modelled. The resulting models can be used to map by interpolation, for example, using kriging or trend surfaces. Often, conventional statistical methods are not valid when there is spatial covariation, so specific geostatistical methods must be used to make inferences. The model of spatial covariation can also be used to design sampling plans. Statistical computing is becoming routine among geoscientists. In addition, extensive computing using actual datasets is the best way to learn statistics. The R Project for Statistical Computing is the leading open-source environment for exploratory, introductory and advanced computational statistics. R includes several add-in geostatistical packages. This course will use mostly the GSTAT package, although students may elect to use any software that is available in their organization for a data analysis project.


The R Project for Statistical Computing - Romania Team

The R Project for Statistical Computing provides a wide range of data analysis options using a command-line interface.

The basic R system is developed and maintained by the R Core group, comprising 20 members, many of them eminent in the field of statistical computing. The R Project for Statistical Computing is a project of the R Foundation, whose membership includes the R Core group and several other individuals, and is also associated with the Free Software Foundation.