Abstract
This paper reviews more than 10 recent doctoral theses and master’s theses accomplished at the Chair of Cartography, Technical University of Munich (TUM). These research works address two persistent challenges involved in the digital mapmaking process: understanding complex input data and improving cartographic design to keep up with the changing roles and increasing demands of users on immediately usable maps. At first, a dedicated computational approach based on Conditional Random Fields (CRF) for data enhancement of Volunteered Geographic Information (VGI) is introduced and demonstrated with test data from trajectories of floating taxis and OpenStreetMap (OSM). It is followed by a summarized overview of visual analytical approaches for event and behaviour discovery and their implementations on various VGI data sources including trajectories of floating taxis, twitter messages and trajectories of football matches. Finally, a concept of image map with a multilayered visual hierarchy is proposed and demonstrated with a set of attention-guided design strategies.
Translated title of the contribution | A review of research works on VGI understanding and image map design |
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Original language | English |
Pages (from-to) | 17-22 |
Number of pages | 6 |
Journal | Kartographische Nachrichten |
Issue number | 1 |
DOIs | |
State | Published - 2017 |
Keywords
- Attention-guided design
- Event and behaviour discovery
- Probabilistic graphical model
- Visual analytics