Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb

By Jeremy W. Crampton, Mark Graham, Ate Poorthuis, Taylor Shelton, Monica Stephens, Matthew W. Wilson, Matthew Zook. 2013

357 citations recorded by the source corpus.

Subfields: Epidemiology, Geography, Planning and Development, Transportation

View Paper: https://www.semanticscholar.org/paper/2290563a146dcce68eeb3894d14f97a7d89b559a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Epidemiology

1. Paolo Giardullo
2. Bin Jiang
3. Mark Graham

In Geography, Planning and Development

1. Paolo Giardullo
2. Bin Jiang
3. Mark Graham
4. Ate Poorthuis
5. Matthew Zook
6. Taylor Shelton

In Transportation

1. Paolo Giardullo
2. Bin Jiang
3. Mark Graham
4. Rob Kitchin
5. Robert Wilhelm Siegfried Ruhlandt
6. Alasdair Turner

Citations in the corpus

• Questioning Big Data: Crowdsourcing crisis data towards an inclusive humanitarian response (2016, background): “…forms of knowledge has also been debated in other scholarly domains, such as new media studies (e.g., Parks, 2009), critical cartography (e.g., Crampton et al., 2013), geoweb studies (e.g., Burns, 2015; Shelton et al., 2014), spatial technologies (e.g., Elwood, 2007), development studies…”
• Advances in Geocomputation: Geocomputation 2015--The 13th International Conference (2015, neutral): “gis practices focusing on the six senses of the new mind—a task more urgent in the context of the big data deluge and ubiquity of geo-tagged data (Crampton et al. 2013; Dodge and Kitchin 2013).”
• Mapping the Data Shadows of Hurricane Sandy: Uncovering the Sociospatial Dimensions of ‘Big Data’ (2014, background): “In order to overcome this issue, Crampton et al. (2013) have proposed a loose framework for going ‘beyond the geotag’ in analyzing geosocial media data.”
• Assessing the utility of social media as a data source for flood risk management using a real‐time modelling framework (2017, background): “A further complication is that only a small portion (approximately 1.5% but increasing) of Tweets are precisely geotagged (Crampton et al., 2013), which is crucial information for locating and evaluating the extent of flooding.”
• Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges (2015, background): “With the advent of big data, other branches of geography have also shown great interest in utilizing big data for addressing social (human geography) and environmental (physical geography) questions (e.g., Crampton et al. 2013, Goodchild 2013, Kitchin 2013, Steed et al. 2013, Wood et al. 2013).”
• Digital turn, digital geographies? (2018, background): “…2010: 812) and generating new spatialities that have variously been termed code/spaces, hybrid spaces (de Souza e Silva, 2006), digiplace (Zook and Graham, 2007), net locality (Gordon and de Souza e Silva, 2011), augmented reality (Graham et al,, 2013), and mediated spatiality (Leszczynski, 2015b).”
• Does ‘bigger’ mean ‘better’? Pitfalls and shortcuts associated with big data for social research (2015, methodology): “…real-time, the spread of some specific content, detectable through the so-called hashtag, 17 can be followed in time and space thanks to web geotagging techniques (Elwood 2010), as was carried out by a group of human geographers following the hashtag #LexingtonPoliceScanner (Crampton et al. 2013).”