The typicality measure as a novel tool for normalising geo-social media data

Hauthal, Eva; Mukherjee, Sagnik; Burghardt, Dirk

doi:https://doi.org/10.5194/ica-abs-5-72-2022

Articles | Volume 5

Abstr. Int. Cartogr. Assoc., 5, 72, 2022

https://doi.org/10.5194/ica-abs-5-72-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Abstr. Int. Cartogr. Assoc., 5, 72, 2022

https://doi.org/10.5194/ica-abs-5-72-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 5

14 Sep 2022

The typicality measure as a novel tool for normalising geo-social media data

Eva Hauthal, Sagnik Mukherjee, and Dirk Burghardt Eva Hauthal et al.

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Institute of Cartography, Technische Universität Dresden, Germany

Keywords: geo-social media, location-based social media, normalisation, bias, typicality, information retrieval, geovisual analysis, spatial-temporal analysis