MovementFinder: Visual analytics of origin-destination patterns from geo-tagged social media

Author

Siming Chen ; Cong Guo ; Xiaoru Yuan ; Jiawan Zhang ; Zhang, Xiaolong Luke

fYear

2014

fDate

25-31 Oct. 2014

Firstpage

239

Lastpage

240

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.

Keywords

data visualisation; geography; information filters; social networking (online); MovementFinder; functional layers; geo-tagged social media; interactive multifilter visualization approach; movement semantics; origin-destination flow patterns; people movements; people trajectory sampling; people trajectory visualization; spatial-temporal movement pattern analysis; visual analytics; Data visualization; Educational institutions; Filtering; Media; Semantics; Trajectory; Visual analytics;

fLanguage

English

Publisher

ieee

Conference_Titel

Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on

Conference_Location

Paris

Type

conf

DOI

10.1109/VAST.2014.7042509

Filename

7042509