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Web-Based Visualization of Big Geospatial Vector Data

Zouhar, Florian ; Senner, Ivo (2020)
Web-Based Visualization of Big Geospatial Vector Data.
22nd International Conference on Geographic Information Science. Limassol, Cyprus (17.-20.06.2019)
doi: 10.1007/978-3-030-14745-7_4
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Today, big data is one of the most challenging topics in computer science. To give customers, developers or domain experts an overview of their data, it needs to be visualized. In case data contains geospatial information, it becomes more difficult, because most users have a well-trained experience how to explore geographic information. A common map interface allows users zooming and panning to explore the whole dataset. This paper focuses on an approach to visualize huge sets of geospatial data in modern web browsers along with maintaining a dynamic tile tree. The contribution of this work is, to make it possible to render over one million polygons integrated in a modern web application by using 2D Vector Tiles. A major challenge is the map interface providing interaction features such as data-driven filtering and styling of vector data for intuitive data exploration. A web application requests, handles and renders the vector tiles. Such an application has to keep its responsiveness for a better user experience. Our approach to build and maintain the tile tree database provides an interface to import new data and more valuable a flexible way to request Vector Tiles. This is important to face the issues regarding memory allocation in modern web applications.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2020
Autor(en): Zouhar, Florian ; Senner, Ivo
Art des Eintrags: Bibliographie
Titel: Web-Based Visualization of Big Geospatial Vector Data
Sprache: Englisch
Publikationsjahr: 2020
Verlag: Springer
Buchtitel: Geospatial Technologies for Local and Regional Development : Proceedings of the 22nd AGILE Conference on Geographic Information Science
Veranstaltungstitel: 22nd International Conference on Geographic Information Science
Veranstaltungsort: Limassol, Cyprus
Veranstaltungsdatum: 17.-20.06.2019
DOI: 10.1007/978-3-030-14745-7_4
Kurzbeschreibung (Abstract):

Today, big data is one of the most challenging topics in computer science. To give customers, developers or domain experts an overview of their data, it needs to be visualized. In case data contains geospatial information, it becomes more difficult, because most users have a well-trained experience how to explore geographic information. A common map interface allows users zooming and panning to explore the whole dataset. This paper focuses on an approach to visualize huge sets of geospatial data in modern web browsers along with maintaining a dynamic tile tree. The contribution of this work is, to make it possible to render over one million polygons integrated in a modern web application by using 2D Vector Tiles. A major challenge is the map interface providing interaction features such as data-driven filtering and styling of vector data for intuitive data exploration. A web application requests, handles and renders the vector tiles. Such an application has to keep its responsiveness for a better user experience. Our approach to build and maintain the tile tree database provides an interface to import new data and more valuable a flexible way to request Vector Tiles. This is important to face the issues regarding memory allocation in modern web applications.

Freie Schlagworte: Visualization, Geospatial data
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 22 Feb 2021 07:44
Letzte Änderung: 22 Feb 2021 07:44
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