Big Data, Big Questions| Living on Fumes: Digital Footprints, Data Fumes, and the Limitations of Spatial Big Data

Amid the continued rise of big data in both the public and private sectors, spatial information has come to play an increasingly prominent role. This article defines big data as both a sociotechnical and epistemic project with regard to spatial information. Through interviews, job shadowing, and a review of current literature, both academic researchers and private companies are shown to approach spatial big data sets in analogous ways. Digital footprints and data fumes , respectively, describe a process that inscribes certain meaning into quantified spatial information. Social and economic limitations of this data are presented. Finally, the field of geographic information science is presented as a useful guide in dealing with the “hard work of theory” necessary in the big data movement.

[1]  Charles Anderson,et al.  The end of theory: The data deluge makes the scientific method obsolete , 2008 .

[2]  Viktor Mayer-Schnberger,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2013 .

[3]  Paul Kingsbury,et al.  Walter Benjamin's Dionysian Adventures on Google Earth , 2009 .

[4]  Imre Horváth,et al.  Beyond advanced mechatronics: New design challenges of social-cyber-physical systems , 2012 .

[5]  J. B. Harley,et al.  DECONSTRUCTING THE MAP , 1989 .

[6]  Katharine Armstrong,et al.  Big data: a revolution that will transform how we live, work, and think , 2014 .

[7]  John Pickles,et al.  Discourse on Method and the History of Discipline: Reflections on Dobson's 1983 Automated Geography∗ , 1993 .

[8]  Eric Sheppard,et al.  Automated Geography: What Kind of Geography for What Kind of Society? , 1993 .

[9]  George M. Garrity,et al.  Ground Truth , 2009, Standards in genomic sciences.

[10]  Yutaka Matsuo,et al.  Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.

[11]  Daniele Quercia,et al.  The Hidden Image of the City: Sensing Community Well-Being from Urban Mobility , 2012, Pervasive.

[12]  Jessica Benner,et al.  Trending on Foursquare : Examining the Location and Categories of Venues that Trend in Three Cities , 2012 .

[13]  M. Curry The Digital Individual and the Private Realm , 1997 .

[14]  Tony Hey,et al.  The Fourth Paradigm: Data-Intensive Scientific Discovery , 2009 .

[15]  J. Pickles Tool or Science? GIS, Technoscience, and the Theoretical Turn , 1997 .

[16]  Daniel Z. Sui,et al.  The wikification of GIS and its consequences: Or Angelina Jolie's new tattoo and the future of GIS , 2008, Comput. Environ. Urban Syst..

[18]  Michael F. Goodchild,et al.  Please Scroll down for Article International Journal of Digital Earth Crowdsourcing Geographic Information for Disaster Response: a Research Frontier Crowdsourcing Geographic Information for Disaster Response: a Research Frontier , 2022 .

[19]  Michael F. Goodchild,et al.  Reply: Still Hoping to Turn That Theoretical Corner , 1997 .

[20]  D. O'Sullivan Geographical information science: critical GIS , 2006 .

[21]  D. Boyd,et al.  CRITICAL QUESTIONS FOR BIG DATA , 2012 .

[22]  Chun How Tan,et al.  Beyond "local", "categories" and "friends": clustering foursquare users with latent "topics" , 2012, UbiComp.

[23]  R. Boire Predictive analytics: The power to predict who will click, buy, lie, or die , 2013 .

[25]  Matthew W. Wilson Location-Based Services, Conspicuous Mobility, and the Location-Aware Future , 2012 .

[26]  M. Heidegger The Question Concerning Technology and Other Essays , 1977 .

[27]  James B. D. Joshi,et al.  Exploring trajectory-driven local geographic topics in foursquare , 2012, UbiComp.

[28]  Ed H. Chi,et al.  Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles , 2011, CHI.

[29]  Felix Kling,et al.  When a city tells a story: urban topic analysis , 2012, SIGSPATIAL/GIS.

[30]  R. Kitchin,et al.  Rethinking maps , 2007 .

[31]  Michael Batty,et al.  Smart Cities, Big Data , 2012 .

[32]  Michael F. Goodchild,et al.  Geographical information science , 1992, Int. J. Geogr. Inf. Sci..

[33]  Axel Bruns,et al.  Twitter archives and the challenges of "Big Social Data" for media and communication research , 2012 .

[34]  David M. Berry,et al.  The Philosophy of Software: Code and Mediation in the Digital Age , 2011 .

[35]  Nancy J. Obermeyer,et al.  The Hidden GIS Technocracy , 1995 .

[36]  Adam Jacobs,et al.  The pathologies of big data , 2009, Commun. ACM.

[37]  Vitor R. Carvalho,et al.  Geocoding Billions of Addresses: Toward a Spatial Record Linkage System with Big Data , 2012 .

[38]  Bogdan Carbunar,et al.  You unlocked the Mt. Everest badge on foursquare! Countering location fraud in Geosocial Networks , 2012, 2012 IEEE 9th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2012).

[39]  Jim Thatcher,et al.  Avoiding the Ghetto through hope and fear: an analysis of immanent technology using ideal types , 2013, GeoJournal.

[40]  Jeremy W. Crampton,et al.  The Political Mapping of Cyberspace , 2003 .

[41]  M. Goodchild Citizens as sensors: the world of volunteered geography , 2007 .

[42]  D. Sui,et al.  Crossing the qualitative- quantitative divide II , 2013 .

[43]  Jan-Philipp Exner,et al.  Urban Monitoring Laboratory : New Benefits and Potential for Urban Planning through the Use of Urban Sensing , Geo-and Mobile-Web , 2011 .

[44]  Norman M. Sadeh,et al.  The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City , 2012, ICWSM.

[45]  Cecilia Mascolo,et al.  An Empirical Study of Geographic User Activity Patterns in Foursquare , 2011, ICWSM.

[46]  Marcus Foth,et al.  Handbook of Research on Urban Informatics: The Practice and Promise of the Real-Time City , 2008 .

[47]  E. Ma Handbook of Research on Urban Informatics: The Practice and Promise of the Real-Time City , 2009 .

[48]  Kyumin Lee,et al.  Exploring Millions of Footprints in Location Sharing Services , 2011, ICWSM.

[49]  Herbert Marcuse,et al.  SOME SOCIAL IMPLICATIONS OF MODERN TECHNOLOGY , 1941 .

[50]  Imad Aad,et al.  The Mobile Data Challenge: Big Data for Mobile Computing Research , 2012 .