HŮLEK, Richard, Jiří KALINA, Ladislav DUŠEK and Jiří JARKOVSKÝ. Integration of R Statistical Environment into ICT Infrastructure of GMP and GENASIS. In Jiří Hřebíček, Gerald Schimak, Miroslav Kubásek, Andrea E. Rizzoli. Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413. Heidelberg: Springer, 2013, p. 240-252. ISBN 978-3-642-41150-2.
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Basic information
Original name Integration of R Statistical Environment into ICT Infrastructure of GMP and GENASIS
Authors HŮLEK, Richard (203 Czech Republic, guarantor, belonging to the institution), Jiří KALINA (203 Czech Republic, belonging to the institution), Ladislav DUŠEK (203 Czech Republic, belonging to the institution) and Jiří JARKOVSKÝ (203 Czech Republic, belonging to the institution).
Edition Heidelberg, Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413, p. 240-252, 13 pp. 2013.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14310/13:00065525
Organization unit Faculty of Science
ISBN 978-3-642-41150-2
ISSN 1868-4238
UT WoS 000345503900023
Keywords in English R; statistical computing; web application; system architecture; Stockholm Convention; POPs; GMP; GENASIS
Tags podil
Changed by Changed by: Ing. Nicole Zrilić, učo 240776. Changed: 28/8/2017 15:18.
Abstract
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.
Links
ED0001/01/01, research and development projectName: CETOCOEN
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