Linking social media data with geospatial information to analyse changes in human sentiments in and along surface water environments

Kai-Ti Wu, Markus Venohr, Linda See, Dagmar Haase

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DOI: 10.1016/j.mex.2025.103603
Published: 2025-12
Container: MethodsX
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.mex.2025.103603,
  title = {Linking social media data with geospatial information to analyse changes in human sentiments in and along surface water environments},
  author = {Kai-Ti Wu and Markus Venohr and Linda See and Dagmar Haase},
  year = {2025},
  journal = {MethodsX},
  doi = {10.1016/j.mex.2025.103603},
  url = {https://doi.org/10.1016/j.mex.2025.103603}
}

RIS

TY  - JOUR
TI  - Linking social media data with geospatial information to analyse changes in human sentiments in and along surface water environments
AU  - Kai-Ti Wu
AU  - Markus Venohr
AU  - Linda See
AU  - Dagmar Haase
PY  - 2025
JO  - MethodsX
DO  - 10.1016/j.mex.2025.103603
UR  - https://doi.org/10.1016/j.mex.2025.103603
ER  -

APA

Wu, K., Venohr, M., See, L., & Haase, D. (2025). Linking social media data with geospatial information to analyse changes in human sentiments in and along surface water environments. MethodsX. https://doi.org/10.1016/j.mex.2025.103603

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crossref · retrieved 2026-09-25T04:58:11.681Z