A review of research works on VGI understanding and image map design

Translated title of the contribution: A review of research works on VGI understanding and image map design

Liqiu Meng, Christian E. Murphy, Linfang Ding, Jian Yang

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

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 contributionA review of research works on VGI understanding and image map design
Original languageEnglish
Pages (from-to)17-22
Number of pages6
JournalKartographische Nachrichten
Issue number1
DOIs
StatePublished - 2017

Keywords

  • Attention-guided design
  • Event and behaviour discovery
  • Probabilistic graphical model
  • Visual analytics

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