📖
Integration of R Statistical Environment into ICT Infrastructure of GMP and GENASIS
Richard Hůlek, Jiří Kalina, Ladislav Dušek, Jiří Jarkovský

Integration of R Statistical Environment into ICT Infrastructure of GMP and GENASIS

Science & Mathematics Published 2013 Verification Pending

Overview & Synopsis

The Global Monitoring Plan (GMP) was established as a tool for providing a worldwide overview of Stockholm Convention (SC) compliance by monitoring and evaluation of SC 22 persistent organic pollutants (POPs) concentration levels and their trends. In order to evaluate a dataset on POPs concentrations from the initial GMP campaign, it was essential to use advanced statistical methods which are not incorporated in commonly used database languages. Instead of a complete realization of these methods in the main programming language, in which the application is developed, this language was used only as an interface to the server version of the powerful statistical software R. The involvement of the R language into the environmental pollution data assessment infrastructure of the Global Environmental Assessment Information System (GENASIS) adopted for the GMP data makes easier to avoid disambiguities in data analysis and brings a powerful tool for advanced statistical analysis and visualization of GMP and GENASIS data.

Indexed from repository: HAL Open Science (hal.science)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title Integration of R Statistical Environment into ICT Infrastructure of GMP and GENASIS
Author / Organization Richard Hůlek, Jiří Kalina, Ladislav Dušek, Jiří Jarkovský
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2013
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-248628
Original Source Link Visit Source Page on hal.science »