KALINA, Jiří, Richard HŮLEK, Jana BORŮVKOVÁ, Jiří JARKOVSKÝ, Jana KLÁNOVÁ and Ladislav DUŠEK. Three levels of R language involvement in global monitoring plan warehouse architecture. In Hrebicek J.,Denzer R.,Schimak G.,Argent R.M. IFIP Advances in Information and Communication Technology. New York: Springer, 2015, p. 426-433. ISBN 978-3-319-15993-5.
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Basic information
Original name Three levels of R language involvement in global monitoring plan warehouse architecture
Authors KALINA, Jiří (203 Czech Republic, guarantor, belonging to the institution), Richard HŮLEK (203 Czech Republic, belonging to the institution), Jana BORŮVKOVÁ (203 Czech Republic, belonging to the institution), Jiří JARKOVSKÝ (203 Czech Republic, belonging to the institution), Jana KLÁNOVÁ (203 Czech Republic, belonging to the institution) and Ladislav DUŠEK (203 Czech Republic, belonging to the institution).
Edition New York, IFIP Advances in Information and Communication Technology, p. 426-433, 8 pp. 2015.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/00216224:14110/15:00082556
Organization unit Faculty of Medicine
ISBN 978-3-319-15993-5
ISSN 1868-4238
Keywords in English GMP; JSON; JSONIO; Jsonlite; ODBC; POPs; R; Statistical computing; System architecture; Web application
Tags EL OK, podil
Tags Reviewed
Changed by Changed by: Ing. Mgr. Věra Pospíšilíková, učo 9005. Changed: 19/3/2015 14:03.
Abstract
Three different options for involving R statistical software in the infrastructure of the data warehouse and visualization tool of the Global Monitoring Plan for persistent organic pollutants are presented, all differing in their demands with respect to data transfer rates, numbers of concurrently connected users, total amounts of data transferred, and the possibilities of repeating statistical calculations within a short period. After the development stage, two of these options were used at different levels of the system, demonstrating the specificity of their use and enabling the deployment of the powerful features of R statistical software by a system created using conventional programming languages.
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