A software framework for GPU-based geo-temporal visualization techniques
Dissertation, Universität Potsdam, 2019
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| Sprache: | eng |
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Potsdam
November 15, 2018
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Tag hinzufügen | Zusammenfassung: | Dissertation, Universität Potsdam, 2019 Spatio-temporal data denotes a category of data that contains spatial as well as temporal components. For example, time-series of geo-data, thematic maps that change over time, or tracking data of moving entities can be interpreted as spatio-temporal data. In today's automated world, an increasing number of data sources exist, which constantly generate spatio-temporal data. This includes for example traffic surveillance systems, which gather movement data about human or vehicle movements, remote-sensing systems, which frequently scan our surroundings and produce digital representations of cities and landscapes, as well as sensor networks in different domains, such as logistics, animal behavior study, or climate research. For the analysis of spatio-temporal data, in addition to automatic statistical and data mining methods, exploratory analysis methods are employed, which are based on interactive visualization. These analysis methods let users explore a data set by interactively manipulating a visualization, thereby employing the human cognitive system and knowledge of the users to find patterns and gain insight into the data. [...] |
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| Beschreibung: | viii, 99 Seiten Illustrationen, Diagramme |