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GIScience, University of Vienna | Heidelberg University
- Vienna
- https://orcid.org/0009-0002-2813-0811
- in/simon-gro%C3%9F-28a462248
Highlights
- Pro
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GIScience/Long-term-validation-of-inner-urban-mobility-metrics-derived-from-Twitter
GIScience/Long-term-validation-of-inner-urban-mobility-metrics-derived-from-Twitter PublicLong-term validation of inner-urban mobility metrics derived from Twitter
Jupyter Notebook 4
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flickr_and_nlp
flickr_and_nlp PublicThis repository uses the titel, caption, AI generated descriptions and other textual data associated with Flickr pictures and compares their semantic similarity with the 23 districs of Vienna, tryi…
Jupyter Notebook
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mapswipe_rapid_damage_assessment
mapswipe_rapid_damage_assessment PublicThis provides a demonstration for the paper "Exploring MapSwipe as a Crowdsourcing Tool for (Rapid) Damage Assessment: The Case of the 2021 Haiti Earthquake". To ensure reproducibility the findings…
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air_quality_vienna
air_quality_vienna PublicThis Notebook predicts an air quality raster of Vienna based on climate and land use data.
Jupyter Notebook 1
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POIS_in-class
POIS_in-class PublicThis is the code for the in-class activity for the course Places of Interest - University of Vienna, Master Cartography and Geoinformation
Jupyter Notebook
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thesis_code
thesis_code PublicThis is the code produced for my Bachelor's Thesis titled "Exploring MapSwipe as a Crowdsourcing Tool for Rapid Damage Assessment: The Case of the 2021 Haiti Earthquake"
Jupyter Notebook
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