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    <title>Scalable visualization of spatial data in 3D terrain</title>
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  <abstract type="Summary">Designing visualizations of spatial data in 3D terrain is challenging because various heterogeneous data aspects need to be considered, including the terrain itself, multiple data attributes, and data uncertainty.  It is hardly possible to visualize these data at full detail in a single image. Therefore, this thesis devises a scalable visualization approach that focuses on relevant information to be emphasized, while less-relevant information can be attenuated. In this context, a noval concept of visualizing spatial data in 3D terrain and different soft- and hardware solutions are proposed.&lt;eng&gt;</abstract>
  <abstract type="Summary">Die Erstellung von Visualisierungen für räumliche Daten im 3D-Gelände ist schwierig, da viele heterogene Datenaspekte wie das Gelände selbst, die verschiedenen Datenattribute sowie Unsicherheiten bei der Darstellung zu berücksichtigen sind. Im Allgemeinen ist es nicht möglich, diese Datenaspekte gleichzeitig in einer Visualisierung darzustellen. Daher werden in der Arbeit skalierbare Visualisierungsstrategien entwickelt, welche die wichtigen Informationen hervorheben und trotzdem gleichzeitig Kontextinformationen liefern. Hierfür werden neue Systematisierungen und Konzepte vorgestellt.&lt;ger&gt;</abstract>
  <note type="statement of responsibility">vorgelegt von Steve Dübel</note>
  <note>Zusammenfassung in deutscher und englischer Sprache</note>
  <note>GutachterInnen: Heidrun Schumann (Universität Rostock) ; Rainer Groh (Technische Universität Dresden) ; Ursula Hoffmann (Diehl Aerospace GmbH, Frankfurt)</note>
  <note type="thesis">Dissertation Universität Rostock 2019</note>
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      <title>Scalable visualization of spatial data in 3D terrain</title>
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      <namePart>Dübel, Steve, 1983 - </namePart>
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