Iso-edges for the Geovisualization of Consumptions

Catarina Maçãs, Pedro Cruz, Evgheni Polisciuc, Hugo Amaro, Penousal Machado

2016

Abstract

Data Visualization is emerging as a tool to understand and explore data in various ways. It enables us to interpret, synthesise, and present complex and vast amounts of information. We use Data Visualization to represent the evolution of consumptions in 729 hypermarkets and supermarkets of the biggest Portuguese retail company, for a time span of two years. We aim to apply an Information Visualization technique in order to study how, through Data Visualization, we can represent, synthesize, and interpret consumptions’ data. The geospatial data enables us to represent the consumptions in the different municipal districts and to analyze how consumptions evolve over time. To present this data, we apply an isoline approach, introducing a new technique called iso-edges. We also implement an interface for the exploration and analysis of the data.

References

  1. Adrienko, N. and Adrienko, G. (2011). Spatial generalization and aggregation of massive movement data. Visualization and Computer Graphics, IEEE Transactions on, 17(2):205-219.
  2. Ahlen, T. (2010). Poly2tri, a 2d constrained delaunay triangulation library. https://code.google.com/p/poly2tri/.
  3. Bourke, P. (1988). Calculating the area and centroid of a polygon. URL. http://local.wasp.uwa.edu.au/ - pbourke/geometry/polyarea.
  4. Brewer, C. and Campbell, A. J. (1998). Beyond graduated circles: varied point symbols for representing quantitative data on maps. Cartographic Perspectives, (29):6-25.
  5. Brewer, C. A. and Pickle, L. (2002). Evaluation of methods for classifying epidemiological data on choropleth maps in series. Annals of the Association of American Geographers, 92(4):662-681.
  6. DECC (2013). National heat map shows heat demand from buildings. http://infosthetics.com/ archives/ 2012/03/national heat map shows heat demand from buildings.html.
  7. Fry, B. (2004). Zip code map. http://benfry.com/zipdecode/.
  8. Guo, D., Chen, J., MacEachren, A. M., and Liao, K. (2006). A visualization system for space-time and multivariate patterns (vis-stamp). Visualization and Computer Graphics, IEEE Transactions on, 12(6):1461-1474.
  9. Hägerstraand, T. (1970). What about people in regional science? Papers in regional science, 24(1):7-24.
  10. Jobard, B. and Lefer, W. (1997). Creating evenly-spaced streamlines of arbitrary density. Springer.
  11. Lee, D.-T. and Schachter, B. J. (1980). Two algorithms for constructing a delaunay triangulation. International Journal of Computer & Information Sciences, 9(3):219-242.
  12. Lightfoot, C. (2006). Travel-time maps. https://www.mysoc iety.org/2006/03/04/travel-time-maps-and-their-uses/
  13. Macas, C., Cruz, P., Amaro, H., Polisciuc, E., Carvalho, T., Santos, F., and Machado, P. (2015). Time-series application on big data - visualization of consumption in supermarkets. In Braz, J., Kerren, A., and Linsen, L., editors, IVAPP 2015 - Proceedings of the 6th International Conference on Information Visualization Theory and Applications, Berlin, Germany, 11-14 March, 2015., pages 239-246. SciTePress.
  14. Mac¸a˜s, C., Cruz, P., Martins, P., and Machado, P. (2015). Swarm systems in the visualization of consumption patterns. In Yang, Q. and Wooldridge, M., editors, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, pages 2466-2472. AAAI Press.
  15. Meirelles, I. (2013). Design for Information: An Introduction to the Histories, Theories, and Best Practices Behind Effective Information Visualizations. Rockport publishers.
  16. Mellier, Y., Mathez, G., Mazure, A., Chauvineau, B., and Proust, D. (1988). Subclustering and evolution of the coma cluster. Astronomy and Astrophysics, 199:67- 72.
  17. Polisciuc, E., Alves, A., and Machado, P. (2015). Understanding urban land use through the visualization of points of interest. In Proceedings of the Fourth Workshop on Vision and Language, pages 51-59, Lisbon, Portugal. Association for Computational Linguistics.
  18. Robinson, A. H. (1982). Early thematic mapping in the history of cartography.
  19. Thorp, J. (2009). Just landed: Processing, twitter, metacarta and hidden data. http://blog.blprnt.com/blog/blprnt/j ust-landed-processing-twitter-metacarta-hidden-data
  20. Tufte, E. (1990). Envisioning information. Cheshire (Conn.), page 91.
  21. Weber, B., M üller, P., Wonka, P., and Gross, M. (2009). Interactive geometric simulation of 4d cities. In Computer Graphics Forum, volume 28, pages 481-492. Wiley Online Library.
  22. Zhong, C., Wang, T., Zeng, W., and Arisona, S. M. (2012). Spatiotemporal visualisation: A survey and outlook. In Digital Urban Modeling and Simulation, pages 299-317. Springer.
Download


Paper Citation


in Harvard Style

Maçãs C., Cruz P., Polisciuc E., Amaro H. and Machado P. (2016). Iso-edges for the Geovisualization of Consumptions . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 220-227. DOI: 10.5220/0005785702200227


in Bibtex Style

@conference{ivapp16,
author={Catarina Maçãs and Pedro Cruz and Evgheni Polisciuc and Hugo Amaro and Penousal Machado},
title={Iso-edges for the Geovisualization of Consumptions},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016)},
year={2016},
pages={220-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005785702200227},
isbn={978-989-758-175-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016)
TI - Iso-edges for the Geovisualization of Consumptions
SN - 978-989-758-175-5
AU - Maçãs C.
AU - Cruz P.
AU - Polisciuc E.
AU - Amaro H.
AU - Machado P.
PY - 2016
SP - 220
EP - 227
DO - 10.5220/0005785702200227