{"id":{"repo_id":"aachen","oai_identifier":"oai:publications.rwth-aachen.de:51472"},"canonical_url":"https://search.dev.ndltd.org/etd/aachen/oai:publications.rwth-aachen.de:51472","repository":{"repo_id":"aachen","name":"RWTH Aachen University","base_url":"https://publications.rwth-aachen.de/oai2d"},"display":{"title":"Navigation in time-varying scientific data","abstract":"The temporal resolution of today's simulated scientific data sets is constantly growing. Simulations spanning thousands of discrete time steps are common these days; simulations with a much higher resolution exist. The growing amount of discrete time steps leads to significant problems, particularly concerning the navigation through such data sets. This thesis presents a set of techniques that together enable an intuitive, interactive, and accurate navigation through time-varying scientific data. A time model that describes different time scales and their relations in scientific visualizations serves as a basis. Novel 3D interaction techniques for search and maneuver navigation tasks are developed and are evaluated in user studies. Based on initial user input, the temporal resolution of time-varying scientific data is adapted by a multi-objective optimization approach, which tries to combine conflicting analysis goals. In order to speed up the computation of time-varying visualizations during navigation, a remote parallel computation system using different user-centered scheduling strategies is presented. The developed approaches are evaluated using multiple large time-varying data sets from medicine, geosciences and flow mechanics. The heterogeneous techniques proposed - applied individually as well as in combination - enable or ease the analysis of large time-varying data in an interactive work process.","abstract_html":"The temporal resolution of today's simulated scientific data sets is constantly growing. Simulations spanning thousands of discrete time steps are common these days; simulations with a much higher resolution exist. The growing amount of discrete time steps leads to significant problems, particularly concerning the navigation through such data sets. This thesis presents a set of techniques that together enable an intuitive, interactive, and accurate navigation through time-varying scientific data. A time model that describes different time scales and their relations in scientific visualizations serves as a basis. Novel 3D interaction techniques for search and maneuver navigation tasks are developed and are evaluated in user studies. Based on initial user input, the temporal resolution of time-varying scientific data is adapted by a multi-objective optimization approach, which tries to combine conflicting analysis goals. In order to speed up the computation of time-varying visualizations during navigation, a remote parallel computation system using different user-centered scheduling strategies is presented. The developed approaches are evaluated using multiple large time-varying data sets from medicine, geosciences and flow mechanics. The heterogeneous techniques proposed - applied individually as well as in combination - enable or ease the analysis of large time-varying data in an interactive work process.","abstract_has_math":false,"creators":["Wolter, Marc"],"institution":"Publikationsserver der RWTH Aachen University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Kuhlen, Torsten"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010","date_published":"2010","updated_at":"2026-07-30T19:40:42Z","subjects":["info:eu-repo/classification/ddc/004","Virtuelle Realität","Visualisierung","Informatik","Zeitnavigation","temporal navigation"],"languages":["eng"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-113761%22"],"render_values":[{"text":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-113761%22","href":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-113761%22","code":true}]}]},"links":{"outbound_url":"https://publications.rwth-aachen.de/record/51472","outbound_label":"Repository record","outbound_source":"dc:identifier"},"source_record":{"url":"https://publications.rwth-aachen.de/oai2d?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Apublications.rwth-aachen.de%3A51472","prefix":"oai_dc"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kuhlen, Torsten"]},{"key":"dc:creator","label":"Author","values":["Wolter, Marc"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:coverage","label":"Dc Coverage","values":["DE"]},{"key":"dc:date","label":"Dc Date","values":["2010"]},{"key":"dc:publisher","label":"Institution","values":["Publikationsserver der RWTH Aachen University"]},{"key":"dc:relation","label":"Dc Relation","values":["info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:82-opus-31942"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/doctoralThesis","info:eu-repo/semantics/publishedVersion"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["info:eu-repo/classification/ddc/004","Virtuelle Realität","Visualisierung","Informatik","Zeitnavigation","temporal navigation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/record/51472","https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-113761%22"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The temporal resolution of today's simulated scientific data sets is constantly growing. 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