FlowSampler: Visual Analysis of Urban Flows in Geolocated Social Media Data

被引:14
|
作者
Chua, Alvin [1 ]
Marcheggiani, Ernesto [2 ,3 ]
Servillo, Loris [1 ]
Moere, Andrew Vande [1 ]
机构
[1] Katholieke Univ Leuven, Dept Architecture, Kasteelpk Arenberg 1 Bus 2431, B-3001 Heverlee, Belgium
[2] Katholieke Univ Leuven, Dept Earth & Environm Sci, B-3001 Heverlee, Belgium
[3] Univ Marche, Dept D3A, I-60131 Ancona, Italy
来源
SOCIAL INFORMATICS | 2015年 / 8852卷
关键词
Social media analytics; Geovisualisation; Spatio-temporal analysis; Data mining; Flow maps; INFORMATION VISUALIZATION;
D O I
10.1007/978-3-319-15168-7_2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Analysis of flows such as human movement can help spatial planners better understand territorial patterns in urban environments. In this paper, we describe FlowSampler, an interactive visual interface designed for spatial planners to gather, extract and analyse human flows in geolocated social media data. Our system adopts a graph-based approach to infer movement pathways from spatial point type data and expresses the resulting information through multiple linked multiple visualisations to support data exploration. We describe two use cases to demonstrate the functionality of our system and characterise how spatial planners utilise it to address analytical task.
引用
收藏
页码:5 / 17
页数:13
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