Visual Analytics in Environmental Research: A Survey on
Challenges, Methods and Available Tools

D 2013

Visual Analytics in Environmental Research: A Survey on Challenges, Methods and Available Tools

KOMENDA, Martin a Daniel SCHWARZ

Základní údaje

Originální název

Visual Analytics in Environmental Research: A Survey on Challenges, Methods and Available Tools

Autoři

KOMENDA, Martin (203 Česká republika, garant, domácí) a Daniel SCHWARZ (203 Česká republika, domácí)

Vydání

Heidelberg, Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413, od s. 618-629, 12 s. 2013

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Kód RIV

RIV/00216224:14110/13:00069611

Organizační jednotka

Lékařská fakulta

ISBN

978-3-642-41150-2

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-41151-9_58

UT WoS

000345503900058

Klíčová slova anglicky

Visual analytics; learning analytics; human cognition; environmental data visualization

Štítky

best

Změněno: 26. 4. 2014 14:06, Ing. Mgr. Věra Pospíšilíková

Anotace

V originále

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.

Citovat

KOMENDA, Martin a 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, s. 618-629. ISBN 978-3-642-41150-2. Dostupné z: https://dx.doi.org/10.1007/978-3-642-41151-9_58.

@inproceedings{1124567,
   author = {Komenda, Martin and Schwarz, Daniel},
   address = {Heidelberg},
   booktitle = {Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413},
   doi = {http://dx.doi.org/10.1007/978-3-642-41151-9_58},
   editor = {Jiří Hřebíček, Gerald Schimak, Miroslav Kubásek, Andrea E. Rizzoli},
   keywords = {Visual analytics; learning analytics; human cognition; environmental data visualization},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Heidelberg},
   isbn = {978-3-642-41150-2},
   pages = {618-629},
   publisher = {Springer},
   title = {Visual Analytics in Environmental Research: A Survey on Challenges, Methods and Available Tools},
   year = {2013}
}

TY  - JOUR
ID  - 1124567
AU  - Komenda, Martin - Schwarz, Daniel
PY  - 2013
TI  - Visual Analytics in Environmental Research: A Survey on Challenges, Methods and Available Tools
PB  - Springer
CY  - Heidelberg
SN  - 9783642411502
KW  - Visual analytics
KW  - learning analytics
KW  - human cognition
KW  - environmental data visualization
N2  - 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.
ER  -

KOMENDA, Martin a 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. \textit{Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413}. Heidelberg: Springer, 2013, s.~618-629. ISBN~978-3-642-41150-2. Dostupné z: https://dx.doi.org/10.1007/978-3-642-41151-9\_{}58.

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