A Visual Analytics Approach for Extracting Spatio-Temporal Urban Mobility Information from Mobile Network Traffic
In this paper we present a visual analytics approach for deriving spatio-temporal patterns of collective human mobility from a vast mobile network traffic data set. More than 88 million movements between pairs of radio cells—so-called handovers—served as a proxy for more...
Main Authors: | Euro Beinat, Martin Loidl, Günther Sagl |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2012-11-01
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Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | http://www.mdpi.com/2220-9964/1/3/256 |
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