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.

  • Veröffentlicht in:
    Volunteered Geographic Information: Interpretation, Visualization and Social Context
  • Typ:
    Inbook
  • Autoren:
    Burghardt, Dirk; Dunkel, Alexander; Hauthal, Eva; Shirato, Gota; Andrienko, Natalia; Andrienko, Gennady; Hartmann, Maximilian; Purves, Ross
  • Jahr:
    2024
  • Source:
    https://link.springer.com/chapter/10.1007/978-3-031-35374-1_12

Informationen zur Zitierung

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,

Assoziierte Lamarr-ForscherInnen

lamarr institute person Andriyenko Gennadiy pi - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Prof. Dr. Gennady Andrienko

Principal Investigator Menschenzentrierte KI-Systeme zum Profil
lamarr institute person Andriyenko Nathaliya pi - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Prof. Dr. Natalia Andrienko

Area Chair Menschenzentrierte KI-Systeme zum Profil