BIG BICYCLE DATA PROCESSING: From PERSONAL DATA to URBAN APPLICATIONS

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Volumn 3, Issue , 2016, Pages 173-179

  Pettit, C J ^a   Lieske, S N ^a   Leao, S Z ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Big data; data processing; data visualisation; little data

Indexed keywords

EID: 85042367038     PISSN: 21949042     EISSN: 21949050     Source Type: Conference Proceeding    
DOI: 10.5194/isprs-annals-III-2-173-2016     Document Type: Conference Paper

References (21)

1. Batty M, 2013. Big data, smart cities and city planning, Dialogues in Human Geography, 3 (3): 274-279.
2. Batty, 2015. Data About Cities: Redefining Big, Recasting Small, Data and the City Workshop, The Programmable City Project at National University of Ireland, Maynooth, Agu 31-Sept 1st, 2015. http: //www. spatialcomplexity. info/files/2015/08/Data-Cities-Maynooth-Paper-BATTY. pdf
3. Clarke A and Steele R, 2014. Health Participatory Sensing Networks, Mobile Information Systems, Volume 10 (3): 229-242
4. Eisenman S B, Miluzzo E, Lane N D, Peterson R A, and Campbell A T, 2009. BikeNet: A Mobile Sensing System for Cyclist Experience Mapping, ACM Transactions on Sensor Networks, 6 (1): Article 6, December 2009.
5. Fayyad U M, Piatetsky-Shapiro G, Smyth P, 1996. From data mining to knowledge discovery in databases. AI Magazine, 17 (3): 37-54.
6. Haines A and Wilkinson P, 2014. Health in the 'Low-Carbon' Economy, Chapter 75 In: Freedman B (ed.), Global Environmental Change, Springer Science+Business Media, Dordrecht.
7. Kandel S, Heer J, Plaisant C, Kennedy J, van Ham F, Riche N, Weaver C, Lee B, Brodbeck D and Buono P, 2011. Research directions in data wrangling: visualisations and transformations for usable and credible data, Information Visualization, 10 (4): 271-288.
8. Lane D, Miluzzo E, Lu H, Peebles D, Choudhury T, and Campbell A T, 2010. A Survey of Mobile Phone Sensing, IEEE Communications Magazine, September 2010, p. 140-150.
9. Laney D, 2001. 3D data management: controlling data volume, velocity, and variety. META Group, Technical Report, 2001.
10. Li, S., Dragicevic, S., Castro, F. A., Sester, M. Winter, S. Coltekin, A, Pettit, C. J. Jiang, B., Haworth, J., Stein, A. (2015). Geospatial big data handling theory and methods: A review and research challenges. ISPRS Journal of Photogrammetry and Remote Sensing. rXiv: 1511. 03010 [physics. soc-ph].
11. Ma C, Zhang H H, Wang X, 2014. Machine learning for big data analytics in plants. Trends in Plant Science, 19 (12): 798-808.
12. Navarro K F, Gay V, Golliard L, Johnston B, Leijdekkers P, Vaughan E, Wang X, and Williams M-A, 2013. SocialCycle: What Can a Mobile App Do To Encourage Cycling In Proceedings of the Second IEEE International Workshop on Global Trends in Smart Cities, pages: 24-30.
13. Ostrouchov, G., Chen, W.-C., Schmidt, D., Patel, P., 2012. Programming with Big Data in R [WWW Document]. URL http: //r-pbd. org/
14. Pettit, C. J. Barton, J, Goldie, X, Sinnott, R. Stimson, R, Kvan, T. (2015) The Australian Urban Intelligence Network supporting Smart Cities, in Geertman S, Stillwell J, Ferreira J and Goodspeed J (eds) Planning Support Systems and Smart Cities, Lecture Notes in Geoinformation and Cartography, pp 243-Springer, pp 243-259.
15. Pettit, C. Widjaja, I, Russo, P, Sinnott, R, Stimson, R, Tomko, M. (2012) Visualisation support for exploring urban space and place, XXII ISPRS Congress, Technical Commission IV 25 August-01 September 2012, Melbourne, Australia Editor (s): M. Shortis, J. Shi, E. Guilbert, ISPRS Annals Vol 1-2, pp 153-158.
16. Pratt M, Norris J, Lobelo F, Roux L, Wang G, 2014. The cost of physical inactivity: moving into the 21st century, British Journal of Sports Medicine, 48: 171-173.
17. ProfitBricks Blog, 2015. 39 data visualization tools for big data. http: //blog. profitbricks. com/39-data-visualization-tools-forbig-data/ Accessed on 02 Dec 2015.
18. Reddy S, Shilton K, Denisov G, Cenizal C, Estrin D, and Srivastava M, 2010. Biketastic: Sensing and Mapping for Better Biking, In Proceedings of CHI 2010: Bikes and Buses, April 10-15, 2010, Atlanta, Georgia, USA.
19. Shneiderman B and Plaisant C, 2015. Sharpening analytic focus to cope with Big Data volume and variety. Visualization Viewpoints, IEEE Computers Society, May/June 2015, pages 10-14.
20. Tsai C-W, Lai C-F, Chao H-C, and Vasilakos A, 2015. Big Data analytics: A survey. Journal of Big Data, 2 (21): 1-33.
21. Zhang L, Stoffel A, Behrisch M, 2012. Visual analytics for the Big Data Era- A comparative review of state-of-the art commercial systems. IEEE Symposium on Visual Analytics Science and Technology, Seatle, WA, USA, October 14-19, pages 173-182.