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Zouhar, Florian; Senner, Ivo

Web-Based Visualization of Big Geospatial Vector Data

2020

Geospatial Technologies for Local and Regional Development

Conference on Geographic Information Science (AGILE) <22, 2019, Limassol, Cyprus>

Lecture Notes in Geoinformation and Cartography (LNGC)

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.

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Zouhar, Florian; Kuijper, Arjan [Supervisor]; Senner, Ivo [Advisor]

Vector Based Web Visualization of Geospatial Big Data

2018

Darmstadt, TU, Bachelor Thesis, 2018

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, one needs to visualize these. They need to explore their data, using visualization technologies on high level but also in detail. As base technology, visualizations can be used to do more complex data analytic tasks. In case data contains geospatial information it becomes more difficult, because nearly every user has a well trained experience how to explore geographic information. These map applications provide an interface, in which users can zoom and pan over the whole world. This thesis focuses on evaluating one approach to visualize huge sets of geospatial data in modern web browsers. The contribution of this work is, to make it possible to render over one million polygons integrated in a modern web application which is done by using 2D Vector Tiles. Another major challenge is the web application, which provides interaction features like data-driven filtering and styling of vector data for intuitive data exploration. The important point is memory management in modern web browsers and its limitations.

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Ballweg, Kathrin; Zouhar, Florian; Wilhelmi-Dworski, Patrick; Landesberger, Tatiana von; Fahrer, Uli; Panchenko, Alexander; Yimam, Seid Muhie; Biemann, Chris; Regneri, Michaela; Ulrich, Heiner

new/s/leak - A Tool for Visual Exploration of Large Text Document Collections in the Journalistic Domain

2016

Workshop on Visualization in Practice <2016, Baltimore, MD, USA>

Journalists strive for newsworthy stories for the public. To find those stories they need to explore and read documents from large collections such as the Kissinger Cables. This is very time consuming, since the text document collections are too large to read them alone - even in a team. Interactive text visualization can support journalists in this endeavor. Several tools exists, but interviews with our collaboration journalists revealed their various drawbacks. Therefore, we develop and present a prototype of our novel system new/s/leak, which combines natural language processing and visualization adapted specifically to the journalists' needs.