Publications

Export 53 results:
Sort by: [ Author  (Desc)] Title Year
Filters: Project is [Project Phase 1] Visual Analytics methods to support the spatiotemporal analysis of movements in a physical space in particular in a geographical space  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z   [Show ALL]
V
Vrotsou K, Andrienko N, Andrienko G, Jankowski P.  2011.  Exploring City Structure from Georeferenced Photos Using Graph Centrality Measures. Machine Learning and Knowledge Discovery in Databases (PKDD 2011). 6913:654-657.
S
Scheepens R, Willems N, van de Wetering H, Andrienko G, Andrienko N, vanWijk J.  2011.  Composite Density Maps for Multivariate Trajectories. IEEE Transactions on Visualization and Computer Graphics (TVCG). v.17 (12):2518-2527.
Sakr M, Behr T, Güting RH, Andrienko G, Andrienko N, Hurter C.  2011.  Exploring Spatiotemporal Patterns By Integrating Visual Analytics With A Moving Objects Database System. ACM GIS 2011 - Proceedings of 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2011).
R
Raffaeta A, Leonardi L, Marketos G, Andrienko G, Andrienko N, Frentzos E, Giatrakos N, Orlando S, Pelekis N, Roncato A et al..  2011.  Visual Mobility Analysis using T-Warehouse. International Journal of Data Warehousing and Mining. v.7 (1):1-23.
P
Pölitz C, Andrienko G, Andrienko N.  2010.  Finding arbitrary shaped clusters with related extents in space and time. EuroVAST 2010, International Symposium on Visual Analytics Science and Technology. :pp.19-25.
Peca I, Zhi H, Vrotsou K, Andrienko N, Andrienko G.  2011.  KD-Photomap: Exploring Photographs in Space and Time. IEEE Visual Analytics Science and Technology (VAST 2011) Proceedings. :291-292.
O
Orellana D, Wachowicz M, Andrienko N, Andrienko G.  2009.  Uncovering Interaction Patterns in Mobile Outdoor Gaming. 2009 International Conference on Advanced Geographic Information Systems & Web Services. Abstract
M
K
Kisilevich S, Keim DA, Rokach L.  2010.  A novel approach to mining travel sequences using collections of geo-tagged photos. . Proceedings of the 13th AGILE International Conference on Geographic Information Science.
Kisilevich S, Keim DA, Rokach L.  2010.  GEO-SPADE: A generic google-earth based framework for analysis and exploration of spatiotemporal data.. 12th International Conference on Enterprise Information Systems. :13-20.
J
B
Bak P, Mansmann F, Jantzko H, Keim DA.  2009.  Spatiotemporal Analysis of Sensor Logs Using Growth-Ring Maps. IEEE Transactions on Computer Graphics and Visualization. 15
Bak P, Schaefer M, Stoffel A, Keim DA, Omer I.  2009.  Density Equalizing Distortion of Large Geographic Point Sets. Cartographic and Geographic Information Science. 36