Visualization, Spatiotemporal Patterns, and Directional Analysis of Urban Activities Using Geolocation Data Extracted from LBSN

Muhammad Rizwan
Muhammad Rizwan
Luc Gwiazdzinski
Luc Gwiazdzinski

ISPRS international journal of geo-information, pp. 1372020.

Cited by: 0|Bibtex|Views12|DOI:https://doi.org/10.3390/ijgi9020137
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

Location-based social networks (LBSNs) have rapidly prevailed in China with the increase in smart devices use, which has provided a wide range of opportunities to analyze urban behavior in terms of the use of LBSNs. In a LBSN, users socialize by sharing their location (also referred to as “geolocation”) in the form of a tweet (also referr...More

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