Space–time density of trajectories: exploring spatio-temporal patterns in movement data

References

• Andrienko , G. and Andrienko , N. 2010a . A general framework for using aggregation in visual exploration of movement data . Cartographic Journal , 47 ( 1 ) : 22 – 40 .
   Google Scholar
• Andrienko , N. and Andrienko , G. 2010b . Spatial generalization and aggregation of massive movement data . IEEE Transactions on Visualization and Computer Graphics , 16 in press
   Google Scholar
• Andrienko , G. , Andrienko , N. and Wrobel , S. 2007 . Visual analytics tools for analysis of movement data . SIGKDD Explorations Newsletter , 9 ( 2 ) : 38 – 46 .
   Google Scholar
• Brunsdon , C. , Corcoran , J. and Higgs , G. 2007 . Visualising space and time in crime patterns: a comparison of methods . Computers, Environment and Urban Systems , 31 : 52 – 75 .
   Web of Science ®Google Scholar
• Callahan , S.P. 2008 . Direct volume rendering . Computing in Science & Engineering , 10 ( 1 ) : 88 – 92 .
   Web of Science ®Google Scholar
• Chen , S. 2008 . Volume rendering visualization of 3D spherical mantle convection with an unstructured mesh . Visual Geosciences , 13 : 97 – 104 .
   Google Scholar
• Chuang , J. , Weiskopf , D. and Möller , T. 2009 . Hue-preserving color blending . IEEE Transactions on Visualization and Computer Graphics , 15 ( 6 ) : 1275 – 1282 .
   PubMed Web of Science ®Google Scholar
• Correa , C.D. and Ma , K.-L. 2009 . The occlusion spectrum for volume classification and visualization . IEEE Transactions on Visualization and Computer Graphics , 15 ( 6 ) : 1465 – 1472 .
   PubMed Web of Science ®Google Scholar
• Crnovrsanin , T. Proximity-based visualization of movement trace data . VAST Symposium 2008 . 2008 , Columbus, OH, USA. October .
   Google Scholar
• de Pinto , F.M. and Freitas , C.M.D.S. 2008 . Volume visualization and exploration through flexible transfer function design . Computers & Graphics , 32 : 420 – 429 .
   Google Scholar
• Dykes , J. and Mountain , D.M. 2003 . Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications . Computational Statistics & Data Analysis , 43 : 581 – 603 .
   Web of Science ®Google Scholar
• Eccles , R. 2008 . Stories in GeoTime . Information Visualization , 7 : 3 – 17 .
   Web of Science ®Google Scholar
• Everts , M.H. 2009 . Depth-dependent halos: illustrative rendering of dense line data . IEEE Transactions on Visualization and Computer Graphics , 15 ( 6 ) : 1299 – 1306 .
   PubMed Web of Science ®Google Scholar
• Forer , P.C. and Huisman , O. 2000 . “ Space, time and sequencing: substitution at the physical/virtual interface ” . In Information, place and cyberspace: issues in accessibility , Edited by: Janelle , D.G. and Hodge , D. 73 – 90 . Berlin-Heidelberg : Springer Verlag .
   Google Scholar
• Gao , D. 2009 . 3D seismic volume visualization and interpretation: An integrated workflow with case studies . Geophysics , 74 ( 1 ) : W1 – W12 .
   Web of Science ®Google Scholar
• Guo , D. 2007 . Visual analytics of spatial interaction patterns for pandemic decision support . International Journal of Geographical Information Science , 21 ( 8 ) : 859 – 877 .
   Web of Science ®Google Scholar
• Hadwiger , M. 2005 . Real-time ray-casting and advanced shading of discrete isosurfaces . Eurographics , 24 ( 3 ) : 303 – 312 .
   Google Scholar
• Hsieh , T.-J. , Chen , C.-K. and Ma , K.-L. Visualizing field-measured seismic data . Proceedings of the IEEE Pacific visualization symposium . 2–5 March 2010 . pp. 65 – 72 . Taiwan : Taipei .
   Google Scholar
• Jang , Y. and Varetto , U. 2009 . Interactive volume rendering of functional representations in quantum chemistry . IEEE Transactions on Visualization and Computer Graphics , 15 ( 6 ) : 1579 – 1586 .
   PubMed Web of Science ®Google Scholar
• Kapler , T. and Wright , W. 2005 . GeoTime information visualization . Information Visualization , 4 : 136 – 146 .
   Google Scholar
• Karadayi , K. , Managuli , R. and Kim , Y. 2009 . Three-dimensional ultrasound: from acquisition to visualization and from algorithms to systems . IEEE Reviews in Biomedical Engineering , 2 : 23 – 39 .
   Google Scholar
• Kraak , M.-J. The space-time cube revisited from a geovisualisation perspective . 21st international cartographic conference . 2003 , Durban, South Africa. August .
   Google Scholar
• Kraak , M.-J. 2008 . “ Geovisualization and time – new opportunities for the space-time cube ” . In Geographic visualization: concepts, tools and applications , Edited by: Dodge , M. , McDerby , M. and Turner , M. 293 – 306 . Chichester, , UK : John Wiley & Sons .
   Google Scholar
• Kraak , M.-J. and Huisman , O. 2009 . “ Beyond exploratory visualization of space-time paths ” . In Geographic data mining and knowledge discovery , 2nd , Edited by: Miller , H.J. and Han , J. 431 – 443 . London : Chapman & Hall/CRC .
   Google Scholar
• Kwan , M.-P. 2000 . Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set . Transportation Research Part C , 8 : 185 – 203 .
   Web of Science ®Google Scholar
• Laube , P. , Imfeld , S. and Weibel , R. 2005 . Discovering relative motion patterns in groups of moving point objects . International Journal of Geographical Information Science , 19 ( 6 ) : 639 – 668 .
   Web of Science ®Google Scholar
• Lederberger , C. 2008 . Volume MLS ray casting . IEEE Transactions on Visualization and Computer Graphics , 14 ( 6 ) : 1372 – 1379 .
   PubMed Web of Science ®Google Scholar
• Legouge , R. Risk and vulnerability analysis in the Gulf of Finland . Proceedings of the XXIV FIG international congress . 2010 , Sydney, NSW, Australia. April .
   Google Scholar
• Ma , K.-L. , Schussman , G. and Wilson , B. Advanced visualization technology for terascale particle accelerator simulations . Proceedings of the IEEE/ACM SC2002 conference (SC’02) . 2002 , Baltimore, MD. November . pp. 16 – 22 . Los Alamitos, CA, , USA : IEEE Computer Society Press .
   Google Scholar
• Mountain , D.M. 2005 . “ Visualizing, querying and summarizing individual spatio-temporal behaviour ” . In Exploring geovisualisation , Edited by: Dykes , J. , MacEachren , A.M. and Kraak , M.-J. 181 – 200 . Amsterdam : Elsevier .
   Google Scholar
• Mühler , K. 2010 . The medical exploration toolkit: an efficient support for visual computing in surgical planning and training . IEEE Transactions on Visualization and Computer Graphics , 16 ( 1 ) : 133 – 146 .
   PubMed Web of Science ®Google Scholar
• Multimäki , S. , Seppänen , H. and Ahonen-Rainio , P. User profiling for the Maritime Situational Picture . ICA Geovisualisation Workshop ‘GeoSpatial Visual Analytics: Focus on Time’ at the AGILE 2010 . 2010 , Guimaraes, Portugal. May .
   Google Scholar
• Nakaya , T. and Yano , K. Visualising spatio-temporal crime clusters in a space-time cube . Proceedings of the 17th GIS research UK conference, GISRUK 2009 . 2009 , Durham, UK. April .
   Google Scholar
• O'Sullivan , D. and Unwin , D.J. 2003 . Geographic information analysis , Hoboken, NJ, , USA : John Wiley & Sons .
   Google Scholar
• Preim , B. 2009 . Survey of the visual exploration and analysis of perfusion data . IEEE Transactions on Visualization and Computer Graphics , 15 ( 2 ) : 205 – 220 .
   PubMed Web of Science ®Google Scholar
• Rheingans , P. and Ebert , D. 2001 . Volume illustration: nonphotorealistic rendering of volume models . IEEE Transactions on Visualization and Computer Graphics , 7 ( 3 ) : 253 – 264 .
   Web of Science ®Google Scholar
• Rinzivillo , S. 2008 . Visually driven analysis of movement data by progressive clustering . Information Visualization , 7 : 225 – 239 .
   Web of Science ®Google Scholar
• Schneider , P.J. and Eberly , D.H. 2003 . Geometric tools for computer graphics , San Francisco, CA : Morgan Kaufmann Publishers .
   Google Scholar
• Silverman , B.W. 1986 . Density estimation for statistics and data analysis , New York : Chapman and Hall .
   Google Scholar
• Skupin , A. and Hagelman , R. 2005 . Visualizing demographic trajectories with self-organizing maps . GeoInformatica , 9 ( 2 ) : 159 – 179 .
   Web of Science ®Google Scholar
• Slingsby , A. , Dykes , J. and Wood , J. 2008 . Using treemaps for variable selection in spatio-temporal visualization . Information Visualization , 7 : 210 – 224 .
   Web of Science ®Google Scholar
• Slocum , T.A. 2010 . Thematic cartography and geovisualization , 3rd , Upper Saddle River, NJ : Pearson/Prentice Hall .
   Google Scholar
• Vrotsou , K. , Forsell , C. and Cooper , M. 2009 . 2D and 3D representation for feature recognition in time geographical diary data . Information Visualization , 8 : 1 – 14 .
   Google Scholar
• Weiskopf , D. , Engel , K. and Ertl , T. 2003 . Interactive clipping techniques for texture-based volume visualization and volume shading . IEEE Transactions on Visualization and Computer Graphics , 9 ( 3 ) : 298 – 312 .
   Web of Science ®Google Scholar
• Willems , N. , van de Wetering , H. and van Wijk , J.J. 2009 . Visualization of vessel movements . Eurographics/IEEE-VGTC Symposium on Visualization 2009 , 28 ( 3 ) : 959 – 966 .
   Google Scholar
• Wilson , C. 2008 . Activity patterns in space and time: calculating representative Hägerstrand trajectories . Transportation , 35 : 485 – 499 .
   Web of Science ®Google Scholar
• Zhao , J. , Forer , P. and Harvey , A.S. 2008 . Activities, ringmaps and geovisualization of large human movement fields . Information Visualization , 7 : 198 – 209 .
   Web of Science ®Google Scholar