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Spatially aggregating mobility data – implications and challenges

Authors: Sieg, Louise; Chesire, James;

Spatially aggregating mobility data – implications and challenges

Abstract

This paper explores the discrepancies in analysis resulting from aggregating data to different scales. We link mobile phone activity data to varying statistical geographies and compare the population impression obtained by joining these aggregates to a geodemographic classification (Workplace Zone Classification). We aim to provide an initial evaluation of how to approach creating aggregated products which preserve privacy but remain representative of the original dataset.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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