D 2013

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

HŮLEK, Richard, Jiří KALINA, Ladislav DUŠEK and Jiří JARKOVSKÝ

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

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

UT WoS

000345503900023

Keywords in English

R; statistical computing; web application; system architecture; Stockholm Convention; POPs; GMP; GENASIS

Tags

Změněno: 28/8/2017 15:18, Ing. Nicole Zrilić

Abstract

V originále

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 project
Name: CETOCOEN