How we see time – the evolution and current state of visualizations of temporal data

Verena Klasena Applied Geoinformatics, University of Augsburg, Augsburg, GermanyCorrespondence[email protected]

https://orcid.org/0000-0002-9106-977X View further author information

Edyta P. Boguckab Chair of Cartography and Visual Analytics, Technical University of Munich, Munich, Germany

https://orcid.org/0000-0002-8774-2386 View further author information

Liqiu Mengb Chair of Cartography and Visual Analytics, Technical University of Munich, Munich, Germany

https://orcid.org/0000-0001-8787-3418 View further author information

Jukka M. Krispa Applied Geoinformatics, University of Augsburg, Augsburg, Germany

https://orcid.org/0000-0003-2558-6821 View further author information

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Anthony C. Robinson, Pyry Kettunen, Luciene Delazari & Arzu Çöltekin. (2023) New directions for the state of the art and science in Cartography. International Journal of Cartography 9:2, pages 143-149.
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Aswathi Sasidharan & N. Arulkumar. 2023. Advanced Applications of Python Data Structures and Algorithms. Advanced Applications of Python Data Structures and Algorithms 266 278 .

How we see time – the evolution and current state of visualizations of temporal data

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How we see time – the evolution and current state of visualizations of temporal data

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