Vector Based Web Visualization of Geospatial Big Data

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.