Dialogues in Human Geography· 2013Q1
Big data and human geography
- 585citations
- Q1SCImago
- 2013year
Short summary
Big data, characterized by its volume, velocity, and variety, presents significant opportunities to enhance geographical understanding, particularly for post-positivist scholars.
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Key points
- Big data is characterized by high volume, velocity, variety, exhaustivity, resolution, indexicality, relationality, and flexibility.
- Spatially and temporally referenced big data offers numerous possibilities for enhancing geographical understanding.
- Big data poses significant epistemological, methodological, and ethical challenges to geographic scholarship.
- Geographers must actively engage with big data's opportunities while critically addressing its risks and challenges.
AI-generated from the title and abstract; the full text is not read.
Abstract
We are entering an era of big data – data sets that are characterised by high volume, velocity, variety, exhaustivity, resolution and indexicality, relationality and flexibility. Much of these data are spatially and temporally referenced and offer many possibilities for enhancing geographical understanding, including for post-positivist scholars. Big data also, however, poses a number of challenges and risks to geographic scholarship and raises a number of taxing epistemological, methodological and ethical questions. Geographers need to grasp the opportunities whilst at the same time tackling the challenges, ameliorating the risks and thinking critically about big data as well as conducting big data studies. Failing to do so could be quite costly as the discipline gets left behind as others leverage insights from the growing data deluge.
The authors' abstract, as published at the source. Dialogues in Human Geography, 2013 · DOI ↗
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