Geographic Information Visualization and Analysis (GIVA)
The GIVA group is responsible for teaching and research in geographic information science at the GIScience Center of the Department of Geography, together with the GIS and Geocomputation groups.
GIVA Mission
Discover and teach new insights on how to creatively design geographic information displays that encourage healthy engagements with the world.
Our Vision
Smart geographic information displays that offer equitable access to knowledge, are engaging to use, and empower all citizens to live a healthy and environmentally sustainable life, in a diverse, democratic, and mobile digital information society.
More on our research interests...
News
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New Publication
Mental Health and Treatment Considerations for Urban Populations
Comprehensive Clinical Psychology (2nd Edition), Volume 9, 2022, Pages 291-303
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New Publication
Small Area Variation of Adherence to Clinical Recommendations: An Example from Switzerland
SAGE
https://doi.org/ -
New Publication
Detecting Suicide Ideation in the Era of Social Media: The Population Neuroscience Perspective
Front. Psychiatry
https://doi.org/ -
New Publication
Ethical issues of collecting, storing, and analyzing geo-referenced tweets for mental health research
Digital Health
https://doi.org/ -
New Publication
Adapting mobile map application designs to map use context: a review and call for action on potential future research themes
Cartography and Geographic Information Science
https://doi.org/ -
ICC Conference 2021
The impact of landmark visualization style on expert wayfinder’s cognitive load during navigation.
Abstracts of the International Cartographic Association 2021, International Cartographic Conference, Dec. 14-18, 20201, Florence, Italy, -
ICC Conference 2021
Take that Flood: Does your Perspective Matter?
Abstracts of the International Cartographic Association 2021, International Cartographic Conference, Dec. 14-18, 20201, Florence, Italy, -
CRAN - Package fca
Perform various floating catchment area methods to calculate a spatial accessibility index (SPAI) for demand point data. The distance matrix used for weighting is normalized in a preprocessing step using common functions. https://cran.r-project.org/
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Capturing mood and affective states via Twitter
The coronavirus primarily affects our bodies, but it also has massive impact on our mental health. GIUZ researchers use Twitter content to detect emotional stress related to the COVID-19 pandemic.
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Innovathon, Sep 30 - Oct 2, 2021
From September 30 – October 2, 2021 the DSI Community Mobility and UZH Innovation Hub organised the Innovathon 2021: The Digitalization of Mobility
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