Extraction and Visually Driven Analysis of VGI for Understanding People’s Behavior in Relation to Multifaceted Context
Volunteered Geographic Information in the form of actively and passively generated spatial content offers great potential to study people’s activities, emotional perceptions, and mobility behavior. Realizing this potential requires methods which take into account the specific properties of such data, for example, its heterogeneity, subjectivity, and spatial resolution but also temporal relevance and bias.
- Published in:
Volunteered Geographic Information: Interpretation, Visualization and Social Context - Type:
Inbook - Authors:
Burghardt, Dirk; Dunkel, Alexander; Hauthal, Eva; Shirato, Gota; Andrienko, Natalia; Andrienko, Gennady; Hartmann, Maximilian; Purves, Ross - Year:
2024
Citation information
Burghardt, Dirk; Dunkel, Alexander; Hauthal, Eva; Shirato, Gota; Andrienko, Natalia; Andrienko, Gennady; Hartmann, Maximilian; Purves, Ross: Extraction and Visually Driven Analysis of VGI for Understanding People’s Behavior in Relation to Multifaceted Context, Volunteered Geographic Information: Interpretation, Visualization and Social Context, 2024, 241--264, https://link.springer.com/chapter/10.1007/978-3-031-35374-1_12, Burghardt.etal.2024a,
@Inbook{Burghardt.etal.2024a,
author={Burghardt, Dirk; Dunkel, Alexander; Hauthal, Eva; Shirato, Gota; Andrienko, Natalia; Andrienko, Gennady; Hartmann, Maximilian; Purves, Ross},
title={Extraction and Visually Driven Analysis of VGI for Understanding People’s Behavior in Relation to Multifaceted Context},
booktitle={Volunteered Geographic Information: Interpretation, Visualization and Social Context},
pages={241--264},
url={https://link.springer.com/chapter/10.1007/978-3-031-35374-1_12},
year={2024},
abstract={Volunteered Geographic Information in the form of actively and passively generated spatial content offers great potential to study people's activities, emotional perceptions, and mobility behavior. Realizing this potential requires methods which take into account the specific properties of such data, for example, its heterogeneity, subjectivity, and spatial resolution but also temporal relevance...}}
