Visuelle Analyse von großen Daten bewegender Autos – eine Überbrückung zwischen Thematischer Kartographie und Wissenschaftlicher Visualisierung

摘要

The aim of this thesis is to bridge the gaps between thematic mapping and scientific visualization and to achieve their synergetic effects for the visual analysis of big data. The author conducted a systematical comparative study of thematic cartography and scientific visualization. The results showed that these two disciplines reveal different visual analytical levels and are mutually complementary. Based on the theoretical findings, the author conducted extensive experiments of visually analyzing massive and complex real-world taxi floating car data. The results have confirmed our hypothesis that the two disciplines can achieve synergetic effects by taking advantage of their complementary characteristics.