Abstract
Urban space is interconnected, thanks to a vast array of technological devices whose data can be aggregated in a geographic database thereby providing a representation of what is happening around us. City Sensing is an “immersive sensing” and a new opportunity to survey the territory and the environment, by means of low-cost sensors small enough to be wearable. Advantages of such a framework are the widespread and numerous measurements at lower unit cost and also the near real-time friendly communication, together with an interaction with citizens. There are, of course, some limits: low-cost sensors’ measurements are affected by a greater error; the huge amount of data produced can result in a sort of data overload; pressure for real time can lead to hasty elaborations. Statistics can offer some help to reduce the impact of the drawbacks related to measurement quality control and error estimates, and they can also offer possible solutions for significant data synthesis and representation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Batty, M., Crooks, A., Hudson-Smith, A., Milton, R., Anand, S., Jackson, M., Morley, J.: Data Mash-Ups and the Future of Mapping. JISC, Bristol (2010)
Burrough, P.A.: GIS and geostatistics: essential partners for spatial analysis. Environ. Ecol. Stat. 8, 361–377 (2001)
Calabrese, F., Colonna, M., Lovisolo, P., Parata, D., Ratti, C.: Real-Time Urban Monitoring Using Cellular Phones: A Case-Study in Rome. MIT Press, Boston (2007)
Calabrese, F., Kloeckl, K., Ratti, C.: WikiCity: real-time location-sensitive tools for the city. In: Foth, M. (ed.) Handbook of Research on Urban Informatics: The Practice and Promise of the Real-Time City, Information Science Reference. Hershey, New York (2009)
Claeys, C.: Ensuring security whilst keeping access. Principles of security for the European space tools. In: International Conference on Data Flow from Space to Earth, Venice, 21–23 March (2011)
European Parliament and Council: Directive 2002/49/EC on Assessment and Management of Environmental Noise. Official Journal of the European Communities (18.7.2002)
D’Hondt, E., Stevens, M.: Participatory noise mapping. In: Adjunct Proceedings of the 9th International Conference of Pervasive Computing, pp. 33–36, June, 2011
European Environment Agency: Environmental indicators: Typology and overview. Technical report No. 25 (1999)
Eurostat, European Commission: Harmonises European time use surveys 2008 guidelines. Methodologies and working papers (2009)
Fisher, K.: Narrative mediated by gadgets: ethical and methodological implications. In: 33rd International Association for Time Use Research Conference, Oxford, 1–3 August, 2011
Goodchild, M.F.: Citizens as sensors: web 2.0 and the volunteering of geographic information (Editorial). In: GeoFocus International Review of Geographical Information Science and Technology, vol. 7, pp. 8–10 (2007)
Goodchild, M.F.: Statistical perspectives on geographic information science. Geographical Anal. 40, 310–325 (2008)
Goodchild, M.F., Janelle, D.G. (eds.): Spatially Integrated Social Science. Oxford University Press, New York (2004)
Hofmann-Wellenhof, B., Lichtenegger, H., Wasle, E.: GNSS – Global Navigation Satellite Systems. GLONASS, Galileo, and + more. Wein, New York (2008)
Istat: Indicatori Ambientali Urbani. Istituto Nazionale di Statistica, Roma (2009)
Jirícek, Z., Di Massimo, F.: Microsoft Open Government Data Initiative (OGDI), eye on earth case study. In: Hrebícek, J., Schimak, G., Denzer, R. (eds.) Environmental Software Systems. Frameworks of eEnvironment. IFIP Advances in Information and Communication Technology, vol. 359, pp. 26–32. Springer, Boston (2011)
Keel, W.C., Chojnowski, S.D., Bennert, V.N., Schawinski, K., Lintott C.J., Lynn, S., Pancoast, A., Harris, C., Nierenberg, A.M., Sonnonfeld, A., Proctor, R.: The Galaxy Zoo survey for giant AGN-ionized clouds: past and present black-hole accretion events. Mon. Not. R. Astron. Soc. 420, 868–900 (2012)
Longley, P.A., Goodchild, M.F., Maguire, D.J., Rhind, D.W.: Geographic Information Systems and Science, 3rd edn. Wiley, New York (2010)
Maisonneuve, N., Stevens, M., Ochab, B.: Participatory noise pollution monitoring using mobile phones. Inf. Polity 15(1–2), 51–71 (2010)
Marans, R.W., Stimson, R.J. (eds.): Investigating Quality of Urban Life. Springer, New York (2011)
Tufte, E.R.: Visual Explanations. Images and Quantities, Evidence and Narrative. Graphic Press, Cheshire (2005)
Tufte, E.R.: The Visual Display of Quantitative Information, 2nd edn. Graphic Press, Cheshire (2007)
United Nations: A Framework for the Development of Environment Statistics. Statistical Papers, Series M No. 78, United Nations, New York (1984)
United Nations: Concepts and Methods of Environment Statistics: Human Settlements Statistics? A Technical Report. Studies in Methods, Series F No. 51, United Nations, New York (1988)
United Nations: Concepts and Methods of Environment Statistics – Statistics of the Natural Environment. Studies in Methods, Series F No. 57, United Nations, New York (1991)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Camporese, R., Borga, G., Iandelli, N., Ragnoli, A. (2014). New Technologies and Statistics: Partners for Environmental Monitoring and City Sensing. In: Crescenzi, F., Mignani, S. (eds) Statistical Methods and Applications from a Historical Perspective. Studies in Theoretical and Applied Statistics(). Springer, Cham. https://doi.org/10.1007/978-3-319-05552-7_30
Download citation
DOI: https://doi.org/10.1007/978-3-319-05552-7_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05551-0
Online ISBN: 978-3-319-05552-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)