Method for Determining Appropriate Clustering Criteria of Location-Sensing Data

Method for Determining Appropriate Clustering Criteria of Location-Sensing Data

Large quantities of location-sensing data are generated from location-based social network services. These data are provided as point properties with location coordinates acquired from a global positioning system or Wi-Fi signal. To show the point data on multi-scale map services, the data should be...

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Bibliographic Details
Main Authors: Youngmin Lee, Pil Kwon, Kiyun Yu, Woojin Park
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
clustering
LBSN
Twitter
MAUP
Moran’s I
Töpfer’s radical law
Online Access:http://www.mdpi.com/2220-9964/5/9/151

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http://www.mdpi.com/2220-9964/5/9/151

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