A QUALITY ANALYSIS AND UNCERTAINTY MODELING APPROACH FOR CROWD-SOURCING LOCATION CHECK-IN DATA

The location check-in data, developing along with social network, are considered as user-generated crowd-sourcing geospatial data. With massive data volume, abundance in contained information, and high up-to-date status, the check-in data provide a new data source for geographic information service...

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Bibliographic Details
Main Authors: M. Zhou, Q. Hu, M. Wang
Format: Article
Language:English
Published: Copernicus Publications 2013-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W1/165/2013/isprsarchives-XL-2-W1-165-2013.pdf