@inproceedings{54907c48dfab49f1aa1cbfcb80a81c71,
title = "MovementFinder: Visual analytics of origin-destination patterns from geo-tagged social media",
abstract = "Geo-tagged social media data can be viewed as sampling of people's trajectories in daily life. It consists of people's movements and embeds the semantics of movements. However, it is challenging to reveal patterns from the sparse and irregular sampling data. We proposed an interactive multi-filter visualization approach to analyze the spatial-temporal movement pattern in people's daily life. People's trajectories are visualized on the map with multiple functional layers. With our visual analytics tools, users are able to drill down to details, with the awareness of the origin-destination flow patterns of spatial, temporal, and semantic meaning.",
author = "Siming Chen and Cong Guo and Xiaoru Yuan and Jiawan Zhang and Zhang, \{Xiaolong Luke\}",
year = "2015",
month = feb,
day = "13",
doi = "10.1109/VAST.2014.7042509",
language = "English (US)",
series = "2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "239--240",
editor = "Min Chen and David Ebert and Chris North",
booktitle = "2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings",
address = "United States",
note = "2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 ; Conference date: 09-10-2014 Through 14-10-2014",
}