<resource xmlns:datacite="http://datacite.org/schema/kernel-4">
<creators>
<creator>
<creatorName>Dahnert, Manuel</creatorName>
<givenName>Manuel</givenName>
<familyName>Dahnert</familyName>
</creator>
<creator>
<creatorName>Kehrer, Johannes</creatorName>
<givenName>Johannes</givenName>
<familyName>Kehrer</familyName>
</creator>
<creator>
<creatorName>Aigner, Wolfgang</creatorName>
<givenName>Wolfgang</givenName>
<familyName>Aigner</familyName>
</creator>
<creator>
<creatorName>Rind, Alexander</creatorName>
<givenName>Alexander</givenName>
<familyName>Rind</familyName>
</creator>
</creators>
<titles>
<title>Screenshot from the study prototype explaining one of the four visualization techniques - Horizon Graphs (HG)</title>
</titles>
<descriptions>
<description descriptionType="Other">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.</description>
</descriptions>
<resourceType resourceTypeGeneral="Image">Picture</resourceType>
<language>en</language>
<dates>
<date dateType="Created">2019-06-25T07:02:49.237Z</date>
</dates>
<subjects>
<subject>visualization, user study, evaluation, time series, spatial data, collapsed horizon graphs, compact boxplots, braided graphs</subject>
</subjects>
<sizes>
<size>214112 b</size>
</sizes>
<formats>
<format>image/jpeg</format>
</formats>
<rightsList>
<rights rightsURI="http://creativecommons.org/licenses/by/2.0/at/">CC BY 2.0 AT</rights>
</rightsList>
</resource>
