Three levels of R language involvement in global monitoring
plan warehouse architecture

D 2015

Three levels of R language involvement in global monitoring plan warehouse architecture

KALINA, Jiří, Richard HŮLEK, Jana BORŮVKOVÁ, Jiří JARKOVSKÝ, Jana KLÁNOVÁ et. al.

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

RIV identification code

RIV/00216224:14110/15:00082556

Organization unit

Faculty of Medicine

ISBN

978-3-319-15993-5

ISSN

Keywords in English

GMP; JSON; JSONIO; Jsonlite; ODBC; POPs; R; Statistical computing; System architecture; Web application

Abstract

V originále

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.

Citovat

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.

@inproceedings{1230939,
   author = {Kalina, Jiří and Hůlek, Richard and Borůvková, Jana and Jarkovský, Jiří and Klánová, Jana and Dušek, Ladislav},
   address = {New York},
   booktitle = {IFIP Advances in Information and Communication Technology},
   editor = {Hrebicek J.,Denzer R.,Schimak G.,Argent R.M.},
   keywords = {GMP; JSON; JSONIO; Jsonlite; ODBC; POPs; R; Statistical computing; System architecture; Web application},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {New York},
   isbn = {978-3-319-15993-5},
   pages = {426-433},
   publisher = {Springer},
   title = {Three levels of R language involvement in global monitoring plan warehouse architecture},
   url = {http://www.mineralogickaspolocnost.sk/data/Proceedings%20CEMC%202014%20print.pdf},
   year = {2015}
}

TY  - JOUR
ID  - 1230939
AU  - Kalina, Jiří - Hůlek, Richard - Borůvková, Jana - Jarkovský, Jiří - Klánová, Jana - Dušek, Ladislav
PY  - 2015
TI  - Three levels of R language involvement in global monitoring plan warehouse architecture
PB  - Springer
CY  - New York
SN  - 9783319159935
KW  - GMP
KW  - JSON
KW  - JSONIO
KW  - Jsonlite
KW  - ODBC
KW  - POPs
KW  - R
KW  - Statistical computing
KW  - System architecture
KW  - Web application
UR  - http://www.mineralogickaspolocnost.sk/data/Proceedings%20CEMC%202014%20print.pdf
N2  - 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.
ER  -

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. \textit{IFIP Advances in Information and Communication Technology}. New York: Springer, 2015, p.~426-433. ISBN~978-3-319-15993-5.

Detailed Information on Publication Record