Interactive visual cluster detection in large geospatial datasets based on dynamic density volume visualization

References

• Andrienko G, Andrienko N. 1999. Interactive maps for visual data exploration. Int J Geogr Inf Sci. 13:355–374.10.1080/136588199241247
   Web of Science ®Google Scholar
• Andrienko G, Andrienko N, Bosch H, Ertl T, Fuchs G, Jankowski P, Thom D. 2013. Thematic patterns in georeferenced tweets through space–time visual analytics. Comput Sci Eng. 15:72–82.10.1109/MCSE.2013.70
   Web of Science ®Google Scholar
• Andrienko G, Andrienko N, Jankowski P, Keim D, Kraak MJ, MacEachren A, Wrobel S. 2007. Geovisual analytics for spatial decision support: setting the research agenda. Int J Geogr Inf Sci. 21:839–857.10.1080/13658810701349011
   Web of Science ®Google Scholar
• Bailey TC, Gatrell AC. 1995. Interactive spatial data analysis. Vol. 413. Essex: Longman Scientific and Technical.
   Google Scholar
• Batty M. 2013. Big data, smart cities and city planning. Dialogues Hum Geogr. 3:274–279.10.1177/2043820613513390
   PubMedGoogle Scholar
• Cabral B, Cam N, Foran J. 1994. Accelerated volume rendering and tomographic reconstruction using texture mapping hardware. In: Proceedings of 1994 symposium on Volume Visualization; Washington DC; p. 91–98.
   Google Scholar
• Chainey S, Tompson L, Uhlig S. 2008. The utility of hotspot mapping for predicting spatial patterns of crime. Secur J. 21:4–28.10.1057/palgrave.sj.8350066
   Web of Science ®Google Scholar
• Crampton JW, Graham M, Poorthuis A, Shelton T, Stephens M, Wilson MW, Zook M. 2013. Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb. Cartogr Geogr Inf Sci. 40:130–139.10.1080/15230406.2013.777137
   Web of Science ®Google Scholar
• Demšar U, Virrantaus K. 2010. Space–time density of trajectories: exploring spatio–temporal patterns in movement data. Int J Geogr Inf Sci. 24:1527–1542.10.1080/13658816.2010.511223
   Web of Science ®Google Scholar
• Dykes J. 1997. Exploring spatial data representation with dynamic graphics. Comput Geosci. 23:345–370.10.1016/S0098-3004(97)00009-5
   Web of Science ®Google Scholar
• Dykes J, MacEachren AM, Kraak MJ. 2005. Exploring geovisualization. Amsterdam: Elsevier.
   Google Scholar
• Goodchild MF. 2013. The quality of big (geo)data. Dialogues Hum Geogr. 3:280–284.10.1177/2043820613513392
   Google Scholar
• Graham M, Shelton T. 2013. Geography and the future of big data, big data and the future of geography. Dialogues Hum Geogr. 3:255–261.10.1177/2043820613513121
   Google Scholar
• Guo D, Gahegan M, MacEachren A, Zhou B. 2005. Multivariate analysis and geovisualization with an integrated geographic knowledge discovery approach. Cartogr Geogr Inf Sci. 32:113–132.10.1559/1523040053722150
   PubMedGoogle Scholar
• Hong L, Davison BD. 2010. Empirical study of topic modeling in twitter. In: Melville P, Leskovec J, Provost F, editors. Proceedings of the first Workshop on Social Media Analytics; New York, NY; p. 80–88.10.1145/1964858
   Google Scholar
• Kitchin R. 2013. Big data and human geography opportunities, challenges and risks. Dialogues Hum Geogr. 3:262–267.10.1177/2043820613513388
   Google Scholar
• Kitchin R. 2014. Big data, new epistemologies and paradigm shifts. Big Data Soc. 1: 1–12.
   Google Scholar
• Kraak MJ. 2003. The space–time cube revisited from a geovisualization perspective. In: Proceedings of 21st International Cartographic Conference; Durban, South Africa; p. 1988–1996.
   Google Scholar
• Kraak MJ. 2008. Editorial: from geovisualization toward geovisual analytics. Cartogr J. 45:163–164.
   Web of Science ®Google Scholar
• Kulldorff M. 1999. Spatial scan statistics: models, calculations, and applications. In: Glaz J, Balakrishnan N, editors. Scan statistics and applications. Boston, MA: Birkhäuser; p. 303–322.
   Google Scholar
• Kwan M-P. 2004. GIS methods in time-geographic research: geocomputation and geovisualization of human activity patterns. Geografiska Ann Ser B: Hum Geogr. 86:267–280.10.1111/geob.2004.86.issue-4
   Google Scholar
• Lacroute P, Levoy M. 1994. Fast volume rendering using a Shear-Warp factorization of the viewing transformation. In: Schweitzer D, Glassner A, Keeler M, editors. Proceedings of ACM SIGGRAPH 94; Orlando, FL; p. 451–458.
   Google Scholar
• Lawson AB. 2010. Hotspot detection and clustering: ways and means. Environ Ecol Stat. 17:231–245.10.1007/s10651-010-0142-z
   Web of Science ®Google Scholar
• Lazer D, Pentland A, Adamic L, Aral S, Barabasi AL, Brewer D, Christakis N, Contractor N, Fowler J, Gutmann M, et al. 2009. Life in the network: the coming age of computational social science. Science. 323:721–723.
   PubMed Web of Science ®Google Scholar
• Levine N. 2006. Crime mapping and the crimestat program. Geogr Anal. 38:41–56.10.1111/gean.2006.38.issue-1
   Web of Science ®Google Scholar
• Levoy M. 1988. Display of surfaces from volume data. IEEE Comput Graphics Appl. 8:29–37.10.1109/38.511
   Web of Science ®Google Scholar
• Li L, Goodchild MF, Xu B. 2013. Spatial, temporal, and socioeconomic patterns in the use of twitter and flickr. Cartogr Geogr Inf Sci. 40:61–77.10.1080/15230406.2013.777139
   Web of Science ®Google Scholar
• MacEachren AM, Gahegan M, Pike W, Brewer I, Cai G, Lengerich E, Hardistry F. 2004. Geovisualization for knowledge construction and decision support. IEEE Comput Graphics Appl. 24:13–17.10.1109/MCG.2004.1255801
   PubMed Web of Science ®Google Scholar
• McArdle G, Demšar U, van der Spek S, McLoone S. 2014. Classifying pedestrian movement behaviour from GPS trajectories using visualization and clustering. Ann GIS. 20:85–98.10.1080/19475683.2014.904560
   Google Scholar
• Miller HJ. 2010. The data avalanche is here. Shouldn’t we be digging? J Reg Sci. 50:181–201.10.1111/jors.2010.50.issue-1
   Web of Science ®Google Scholar
• Morse S. 1995. Factors in the emergence of infectious diseases. Emerging Infect Dis. 1:7–15.10.3201/eid0101.950102
   PubMed Web of Science ®Google Scholar
• Mugglin AS, Cressie N, Gemmell I. 2002. Hierarchical statistical modelling of influenza epidemic dynamics in space and time. Stat Med. 21:2703–2721.10.1002/(ISSN)1097-0258
   PubMed Web of Science ®Google Scholar
• Nagarajan M, Gomadam K, Sheth AP, Ranabahu A, Mutharaju R, Jadhav A. 2009. Spatio–temporal–thematic analysis of citizen sensor data: challenges and experiences. Berlin Heidelberg: Springer; p. 539–553.
   Google Scholar
• Nakaya T, Yano K. 2010. Visualising crime clusters in a space–time cube: an exploratory data-analysis approach using space-time kernel density estimation and scan statistics. Trans GIS. 14:223–239.10.1111/j.1467-9671.2010.01194.x
   Web of Science ®Google Scholar
• Pei T, Sobolevsky S, Ratti C, Shaw SL, Li T, Zhou C. 2014. A new insight into land use classification based on aggregated mobile phone data. Int J Geogr Inf Sci. 28:1988–2007.10.1080/13658816.2014.913794
   Web of Science ®Google Scholar
• Pei T, Zhou C, Zhu AX, Li B, Qin C. 2010. Windowed nearest neighbour method for mining spatio–temporal clusters in the presence of noise. Int J Geogr Inf Sci. 24:925–948.10.1080/13658810903246155
   Web of Science ®Google Scholar
• Plug C, Xia JC, Caulfield C. 2011. Spatial and temporal visualisation techniques for crash analysis. Accid Anal Prev. 43:1937–1946.
   PubMed Web of Science ®Google Scholar
• Racine J. 2002. Parallel distributed kernel estimation. Comput Stat Data Anal. 40:293–302.10.1016/S0167-9473(01)00109-8
   Web of Science ®Google Scholar
• Ramage D, Dumais ST, Liebling DJ. 2010. Characterizing microblogs with topic models. In: Cohen WW, Gosling S, editors. Proceedings of ICWSM-10; Washington, DC; p. 1.
   Google Scholar
• Renso C, Baglioni M, de Macedo JAF, Trasarti R, Wachowicz M. 2013. How you move reveals who you are: understanding human behavior by analyzing trajectory data. Knowl Inf Syst. 37:331–362.10.1007/s10115-012-0511-z
   Web of Science ®Google Scholar
• Scholz RW, Lu Y. 2014. Detection of dynamic activity patterns at a collective level from large-volume trajectory data. Int J Geogr Inf Sci. 28:946–963.10.1080/13658816.2013.869819
   Web of Science ®Google Scholar
• Shekhar S, Gunturi V, Evans MR, Yang K. 2012. Spatial big-data challenges intersecting mobility and cloud computing. In: Proceedings of the eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access, ACM; New York, NY; p. 1–6.
   Google Scholar
• Stefanidis A, Cotnoir A, Croitoru A, Crooks A, Rice M, Radzikowski J. 2013. Demarcating new boundaries: mapping virtual polycentric communities through social media content. Cartogr Geogr Inf Sci. 40:116–129.10.1080/15230406.2013.776211
   Web of Science ®Google Scholar
• Sui D, Goodchild M. 2011. The convergence of GIS and social media: challenges for GIScience. Int J Geogr Inf Sci. 25:1737–1748.10.1080/13658816.2011.604636
   Web of Science ®Google Scholar
• Westover L. 1990. Footprint evaluation for volume rendering. ACM SIGGRAPH Comput Graphics. 24:367–376.10.1145/97880
   Google Scholar
• Xu C, Wong DW, Yang C. 2013. Evaluating the “geographical awareness” of individuals: an exploratory analysis of twitter data. Cartogr Geogr Inf Sci. 40:103–115.10.1080/15230406.2013.776212
   Web of Science ®Google Scholar
• Zheng Y, Zhou XF, editors. 2011. Computing with spatial trajectories. New York: Springer.
   Google Scholar