Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Multi-Scale Trend Visualization of Long-Term Temperature Data Sets
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-0519-2537
University of California, USA.ORCID iD: 0000-0001-6745-4398
Linnaeus University, Faculty of Technology, Department of Computer Science.
2014 (English)In: Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden / [ed] M. Obaid, D. Sjölie and M. Fjeld, Linköping University Electronic Press, 2014, 91-94 p.Conference paper, Published paper (Refereed)
Abstract [en]

The analysis and presentation of climate observations is a traditional application of various visualization approaches. The available data sets are usually huge and were typically collected over a long period of time. In this paper, we focus on the visualization of a specific aspect of climate data: our visualization tool was primarily developed for providing an overview of temperature measurements for one location over decades or even centuries. In order to support an efficient overview and visual representation of the data, it is based on a region-oriented metaphor that includes various granularity levels and aggregation features. 

Place, publisher, year, edition, pages
Linköping University Electronic Press, 2014. 91-94 p.
Series
Linköping Electronic Conference Proceedings, 106
Keyword [en]
Information visualization, interaction, temperature, climate data
National Category
Computer and Information Science Climate Research Meteorology and Atmospheric Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-34226ISBN: 978-91-7519-212-3 (print)OAI: oai:DiVA.org:lnu-34226DiVA: diva2:717948
Conference
SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden
Available from: 2014-05-19 Created: 2014-05-19 Last updated: 2017-04-18Bibliographically approved

Open Access in DiVA

sigrad14(986 kB)52 downloads
File information
File name FULLTEXT01.pdfFile size 986 kBChecksum SHA-512
04028e7618c217e85818814929a3ce39696440a3ab20376c69bc3d62cb75479ab279a502027f23bf17cd2dfaa46927ffe4e1fb4b16df90b5883caafce73acfb4
Type fulltextMimetype application/pdf

Other links

Fulltext

Search in DiVA

By author/editor
Kerren, AndreasJusufi, IlirLiu, Jiayi
By organisation
Department of Computer Science
Computer and Information ScienceClimate ResearchMeteorology and Atmospheric SciencesHuman Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar
Total: 52 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 195 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf