Big data and human geography

By Rob Kitchin. 2013

413 citations recorded by the source corpus.

Subfields: Epidemiology, Geography, Planning and Development, Transportation

View Paper: https://www.semanticscholar.org/paper/dd30839b2858c3c9811615b1f500c5f4a35a60a2

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. Mark Graham
2. Paolo Giardullo

In Geography, Planning and Development

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

In Transportation

1. Mark Graham
2. Paolo Giardullo

Citations in the corpus

• Mapping the Data Shadows of Hurricane Sandy: Uncovering the Sociospatial Dimensions of ‘Big Data’ (2014, background): “These shifts include an increase in the scope of the data being collected, the speed at and timeframe within which it is collected, and the notion that otherwise unrelated datasets might be cross-referenced and analyzed to produce some meaningful insight (Kitchin, 2013).”
• Social Media data: Challenges, opportunities and limitations in urban studies (2019, background): “…LBSN data can be recognised as volunteered geographic information —VGI— (Campagna, 2016; Jiang, Alves, Rodrigues, Ferreira, & Pereira, 2015; Kitchin, 2013) since the expressed perceptions, interests, needs and behaviours are published online voluntarily by the users and refer to unique and…”