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<dc:title xml:lang="en">Screenshot from the study prototype explaining one of the four visualization techniques - Horizon Graphs (HG)</dc:title>

  
<dc:description xml:lang="en">In this user study we compare four different visualization techniques of times series in a spatial context using small multiples. 
Horizon Graphs divide the line graph of a time series into non-overlapping bands and apply a sequential/diverging color mapping to the time series. These bands are then layered in a top-to-bottom fashion to reduce the required height. In order to fit the spatial dimensions the Horizon Graph is shrunk horizontally. This screenshot explains the construction steps of Horizon Graphs.</dc:description>

  
<dc:identifier rdf:resource="https://phaidra.ustp.at/o:3577"></dc:identifier>

  
<dc:language>en</dc:language>

  
<edm:type>IMAGE</edm:type>

  
<dc:type xml:lang="en">Image</dc:type>

  
<dc:subject xml:lang="en">visualization, user study, evaluation, time series, spatial data, collapsed horizon graphs, compact boxplots, braided graphs</dc:subject>

  
<dcterms:issued>2019</dcterms:issued>

  
<dc:date>2019</dc:date>

  
<dc:creator>Dahnert, Manuel</dc:creator>

  
<dc:creator>Kehrer, Johannes</dc:creator>

  
<dc:creator>Aigner, Wolfgang</dc:creator>

  
<dc:creator>Rind, Alexander</dc:creator>

  
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