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.
CITATION STYLE
Chua, A., Marcheggiani, E., Servillo, L., & Moere, A. V. (2015). Flowsampler: Visual analysis of Urban flows in geolocated social media data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8852, pp. 5–17). Springer Verlag. https://doi.org/10.1007/978-3-319-15168-7_2
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