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Identifier 000460742
Title Generic visualizer for spatially distributed data over indoor and outdoor maps
Alternative Title Επαναχρησιμοποιήσιμο εργαλείο παρουσίασης χωρικά κατανεμημένων δεδομένων για χάρτες εσωτερικών και εξωτερικών χώρων
Author Σκουλούδη, Ευαγγελία Ι.
Thesis advisor Σαββίδης Αντώνιος
Reviewer Τζίτζικας, Ιωάννης
Πλεξουσάκης, Δημήτρης
Abstract Currently, spatially distributed data concerns cases where information is location-dependent, concerning various data categories ranging from physical objects, events, and equipment, to processes, people and even access regulations. In this context, a mixture of visualization-driven querying and browsing is crucial to ensure optimal information access. The need for such spatial visualizations varies depending on some key parameters: (i) the involved detailed structure of the information items; (ii) the chosen overviews for presentation, such as image thumbnails, video icons, titles and tooltips; (iii) the adopted map functionality, enabling deploy outdoor and indoor data distributions; (iv) the use of either SQL or No-SQL data management backbones; and (v) the ability to encompass, at the front-end level, custom data form and table implementations. In this context, we present a generic software framework for the needs of spatially distributed data visualizations over indoor and outdoor maps, primarily targeted to programmers, offering the necessary parameterization and configuration functionality while allowing easy embedding within full-stack web applications. Some of the features include general string tags, which can be interpreted by pluggable location tag handlers, e.g. as longitude and latitude coordinates, raster coordinates, building areas, and in general any form of custom location scripting. Such tags are combined with presentation-specific metadata, including icons, images, videos, and audio, while supporting additional metadata as JSON data items displayed in overlays. Besides the standard functionality offered by our visualizer, these tags combined with extensible JSON metadata constitute a scripting mechanism, enabling host applications interpret them as needed, for instance, as ontology annotations and configuration preferences, giving enough freedom to programmers handle them in an application-dependent manner. Furthermore, our tool empowers programmers with the ability to insert buttons anywhere on maps and allow programmers to handle them as needed in the context of the host application. Overall, we emphasized a level of functional flexibility that enables programmers to fine-tune and adapt the visualizer to meet the demands of a wide range of situations. Regarding indoor maps, programmers can establish a structured tree hierarchy for the interior organization of a building, and support placement of information items in every area. Floorplans can be associated to areas, while data items can be inserted either directly on them, or alternatively stay associated at the logical level of a building structure. In the context of outdoor maps, we use a web-service interface to link to existing geographical map implementations, such as Google Maps, enriched with data placement and visualization features. Additionally, we allow an outdoor item to link to an indoor one, thus leading to the respective indoor information provision module, such as when selecting a building on the map and navigating across individual floors or areas. The latter emphasizes the synergy between the indoor and outdoor maps, enabling developers to organize and detail information items across these two spatial layers. In summary, we emphasized the provision of a parameterized and configurable visualization tool for spatial information, enabling developers to plug, when needed, new custom-made components for information entry, editing, search, and display. The tool has been implemented for adoption in a full-stack web application context and is implemented entirely in JavaScript and React JS.
Language English
Subject Framework
Γεωχωρικά δεδομένα
Εξωτερικοί χάρτες
Εσωτερικοί χάρτες
Κατανεμημένα δεδομένα
Issue date 2023-12-01
Collection   School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/6/1/6/metadata-dlib-1701260270-402098-14323.tkl Bookmark and Share
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