<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Dahnert, Manuel</dc:creator>
  <dc:creator>Kehrer, Johannes</dc:creator>
  <dc:creator>Aigner, Wolfgang</dc:creator>
  <dc:creator>Rind, Alexander</dc:creator>
  <dc:language>eng</dc:language>
  <dc:format>image/jpeg</dc:format>
  <dc:title xml:lang="eng">Screenshot from the study prototype explaining one of the four visualization techniques - Compact Boxplots (CBP)</dc:title>
  <dc:rights>CC BY 2.0 AT</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/2.0/at/</dc:rights>
  <dc:subject xml:lang="eng">visualization, user study, evaluation, time series, spatial data, collapsed horizon graphs, compact boxplots, braided graphs</dc:subject>
  <dc:description xml:lang="eng">In this user study we compare four different visualization techniques of times series in a spatial context using small multiples. 
Compact Boxplots perform data aggregation to depict summary statistics of the original time series. In this screenshot we explain the visualization technique, which summary statistics are computed and show an example.</dc:description>
  <dc:date>2019</dc:date>
  <dc:type xml:lang="eng">Image</dc:type>
  <dc:identifier>https://phaidra.ustp.at/o:3575</dc:identifier>
</oai_dc:dc>