Ding


Picture of Linfang Ding

Dr.-Ing. Linfang Ding

Research Interest

  • GeoVisualization, Information Visualization, Visual Analytics
  • GIS, Cartography
  • Spatial data mining, Geostatistics
  • Volunteered Geographic Information (VGI), Crowdsourcing
  • Location-based services (LBS)

Teaching

  • Geoinformation excercise 
  • Geovisualization
  • Visualization of Geodata

Master Thesis Supervision

SS13 Andreas Keler (Geodesy and Geoinformation)

WS14/15 Candra Sari Djati Kartika (MSc. Cartography)

WS15/16 2015 Shirui Wang (MSc. Cartography)

SS17 2017 Chenyu Zuo (MSc. Cartography); Kaidi Guo (as Second supervisor) (MSc. Cartography)

Gallery

Please refer to the list of maps and figures I made.

Publication

2018

  • A. Keler; J. M. Krisp; L. Ding: Detecting traffic congestion propagation in urban environments – a case study with Floating Taxi Data (FTD) in Shanghai. Journal of Location Based Services 11 (2), 2018, 133-151 mehr…
  • C. Zuo; L. Ding; G. Gartner; M. Jendryke: Extraction and Visual Analysis of Negative Traffic Events from Weibo Data. In Proceedings of the 14th Conference on Location Based Services, 2018 mehr…
  • L. Wang; L. Ding; J. M. Krisp; X. Li: Design and Implementation of Travel-time Cartograms. KN Journal of Cartography and Geographic Information (1), 2018, 13-20 mehr…
  • Zhu, Ruoxin; Lin, Diao; Jendryke, Michael; Zuo, Chenyu; Ding, Linfang; Meng, Liqiu: Geo-Tagged Social Media Data-Based Analytical Approach for Perceiving Impacts of Social Events. ISPRS International Journal of Geo-Information 8 (1), 2018, 15 mehr…

2017

  • A. Keler; J. M. Krisp; L. Ding: Visualization of Traffic Bottlenecks: Combining Traffic Congestion with Complicated Crossings. In: Peterson, Michael P. (Hrsg.): Advances in Cartography and GIScience: Selections from the 28th International Cartographic Conference 2017. Springer International Publishing, 2017, 493--505 mehr…
  • A. Keler; J. M. Krisp; L. Ding: Detecting vehicle traffic patterns in urban environments using taxi trajectory intersection points. Geo-spatial Information Science 20 (4), 2017, 333-344 mehr…
  • H. Lyu; L. Ding; H. Fan; L. Meng: The Impact of Large Urban Structural Elements on Traffic Flow - A Case Study of Danwei and Xiaoqu in Shanghai. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7, 2017, 1275--1282 mehr…
  • J. Yang; L. Ding; L. Meng; X. You: Feature Learning from Massive Spatial Trajectories: A Case Study of Map Matching. In Proceedings of the 28th International Cartographic Conference (ICC), 2017 mehr…
  • L. Ding; J. M. Krisp; L. Meng: Visual Analysis of Floating Car Data. In: Hassan A. Karimi, Bobak Karimi (Hrsg.): Geospatial Data Science Techniques and Applications. CRC Press, 2017 mehr…
  • L. Ding; L. Meng; J. Yang; J. M. Krisp: Visual exploration of spatial trajectories using parallel coordinates and map views. In Proceedings of the 28th International Cartographic Conference (ICC), 2017 mehr…
  • L. Meng; C. Murphy; L. Ding & J. Yang: A review of research works on VGI understanding and image map design. KN Journal of Cartography and Geographic Information (1), 2017, 17-22 mehr…
  • M. Jahnke, L. Ding, K. Karja, S. Wang: Identifying Origin/Destination Hotspots in Floating Car Data for Visual Analysis of Travelling Behavior. In: Georg Gartner, Haosheng Huang (Hrsg.): Lecture Notes in Geoinformation & Cartography. Springer, 2017 mehr…

2016

  • A. Keler; L. Ding; J. Krisp.: Visualization of traffic congestion based on Floating Taxi Data – Visualisierung von Verkehrsstau basierend auf Floating Taxi Data. Kartographische Nachrichten, Kirschbaum , 2016, mehr…
  • L. Ding; J. Krisp; L. Meng; G. Xiao; A. Keler: Visual exploration of multivariate movement events in space-time cube. The 19th AGILE International Conference on Geographic Information Science, 2016, mehr…
  • L. Ding; L. Meng: VGI collection, assessment and visual analytics. Proceedings of the 24th International Conference on Geoinformatics, 2016 mehr…
  • L. Ding; M. Jahnke; S. Wang; K. Karja: Understanding Spatiotemporal Mobility Patterns related to Transport Hubs from Floating Car Data. Proceeding of LBS 2016, 2016the 13th International Conference on Location-Based Services mehr…
  • X. Xie; L. Ding: A Semantics-aware Self-adaptive Organization Method of GeoVideo Big Data. Proceedings of the 24th International Conference on Geoinformatics, 2016 mehr…

2015

  • H. Fan; L. Ding: Can FCD data indicate problems in urban planning? A case study in Shanghai. Proceedings of LBS 2015, 2015the 12th International Conference on Location Based Services mehr…
  • H. Lyu; L. Ding: Mesh-based Free Space Routing Solution. Proceedings of LBS 2015, 2015the 12th International Conference on Location Based Services mehr…
  • L. Ding; H. Fan; L. Meng: Understanding Taxi Driving Behaviors from Movement Data. In: Lecture Notes in Geoinformation and Cartography. Springer Science + Business Media, 2015 mehr…
  • L. Ding; J. Yang; L. Meng: Visual Analytics for Understanding Traffic Flows of Transportation Hub from Movement Data. Proceedings of the 27th International Cartographic Conference, 2015, 23-28 mehr…

2014

  • L. Ding; L. Meng: A comparative study of thematic mapping and scientific visualization. Annals of GIS 20 (1), 2014, 23-37 mehr…

2013

  • J. M. Krisp; L. Ding; L. Wei: Visual clustering of spatio-temporal hotspots for taxi activity in Shanghai. GeoViz 2013, 2013 mehr…
  • L. Ding; X. Zhu; L. Meng: Visual Analysis of 4-D Building Deformation Data. 26th International Cartographic Conference , 2013 mehr…
  • L. Wei; J. Krisp; T. Balz; M. Liao; L. Ding: Urban Subsidence Surveillance combining PS-InSAR and Visual Analytics. 26th International Cartographic Conference 2013, 2013 mehr…

2012

  • J. M. Krisp; L. Ding; Y. Jin; P. Peer: Indoor Routing - Is a centrality measure for an indoor routing network useful? Mobile Tartu 2012, 2012 mehr…
  • J. M. Krisp; P. Peer; L. Ding: Classification of an indoor routing network based on graph therory. Geoinformatics 2012, 2012 mehr…
  • L. Ding; G. Xiao; L. Meng: Derivation and visual exploration of 4-D building deformation from high-resolution SAR. Symposium on Sercive-Oriented Mapping 2012, Jobstmedia Management Verlag, 2012, 359-368 mehr…

Presentations

Linfang Ding (2017): Visual exploration of spatial trajectories using parallel coordinates and map views. The 28th International Cartographic Conference (ICC), 2-7 July 2017, Washington D.C., USA.

Linfang Ding (2016): Visual exploration of multivariate movement events in space-time cube; The 19th Association of Geographic Information Laboratories in Europe (AGILE) Conference, 14-16 June 2016, Helsinki, Finland.

Linfang Ding (2015): Understanding taxi driving behaviors from movement data; The 18th Association of Geographic Information Laboratories in Europe (AGILE) Conference, 9-12 June 2015, Lisbon, Portugal.

Linfang Ding (2013): Visual Analysis of Large Amounts of 4-D Building Deformation Data; The 26th International Cartographic Conference (ICC), 25–30 August 2013, Dresden, Germany.

Linfang Ding (2012): Derivation and Visual Exploration of 4-D Building Deformation from High-resolution SAR Data; The Symposium on Service-Oriented Mapping (SOMAP) 2012, pp. 359-368. 22-23 November 2012, Vienna, Austria.

Invited presentations

Linfang Ding (2016): Analyzing Floating Car Data in MongoDB; Workshop "GIS with NoSQL" in context of the 19th Association of Geographic Information Laboratories in Europe (AGILE) Conference, 14th June 2016, Helsinki, Finland.

Posters

Linfang Ding (2018): Extraction and Visual Analysis of Negative Traffic Events from Weibo Data. The 14th Conference on Location Based Services, 15-17 Jan 2018, Zurich, Switzerland.

Linfang Ding (2017): Feature Learning from Massive Spatial Trajectories: A Case Study of Map Matching. The 28th International Cartographic Conference (ICC), 2-7 July 2017, Washington D.C., USA.

Linfang Ding  (2016): Understanding Spatiotemporal Mobility Patterns related to Transport Hubs from Floating Car Data. The 13th International Conference on Location-Based Services (LBS), 14–16 November 2016, Vienna, Austria.