KOMENDA, Martin and Daniel SCHWARZ. Visual Analytics in Environmental Research: A Survey on Challenges, Methods and Available Tools. In Jiří Hřebíček, Gerald Schimak, Miroslav Kubásek, Andrea E. Rizzoli. Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413. Heidelberg: Springer, 2013, p. 618-629. ISBN 978-3-642-41150-2. Available from: https://dx.doi.org/10.1007/978-3-642-41151-9_58.
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Basic information
Original name Visual Analytics in Environmental Research: A Survey on Challenges, Methods and Available Tools
Authors KOMENDA, Martin (203 Czech Republic, guarantor, belonging to the institution) and Daniel SCHWARZ (203 Czech Republic, belonging to the institution).
Edition Heidelberg, Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413, p. 618-629, 12 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/00216224:14110/13:00069611
Organization unit Faculty of Medicine
ISBN 978-3-642-41150-2
ISSN 1868-4238
Doi http://dx.doi.org/10.1007/978-3-642-41151-9_58
UT WoS 000345503900058
Keywords in English Visual analytics; learning analytics; human cognition; environmental data visualization
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Changed by Changed by: Ing. Mgr. Věra Pospíšilíková, učo 9005. Changed: 26/4/2014 14:06.
Abstract
Visual analytics approaches bring an innovative and effective way how to deliver the knowledge from a particular domain to an individual user. With the use of visual analytics methods we can easily discover the unexpected relations and interesting patterns, which are hidden in the huge data warehouses. It builds on the human mind’s ability to understand the complex visualization of information. In this paper we introduce the potential usefulness of visual analytics for researchers working in the field of environmental informatics. Current challenges beyond the survey are described here, including the summary of particular well-proven tools and scenarios, which can be applied in many various fields of environmental research.
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