PictoAI: Increasing the meaningfulness of cartographic pictograms using artificial intelligence?

Category

Translated title:

PictoAI: Steigerung der Aussagekraft von kartografischen Piktogrammen durch künstliche Intelligenz? (German)

Conference:

European Cartographic Conference - EuroCarto 2024 (2024 : Vienna)

Published in:

Abstracts of the ICA
Vol. 7.2024 (02.09.2024), art. no. 33, p. 1-2

Volume:

7.2024

Publication date:

02.09.2024

URN:

urn:nbn:de:0307-20241230-002-4

DOI:

10.5194/ica-abs-7-33-2024

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-2, 724,63 kB) : 1 Illustration, 1 Textdatei (PDF)

Keywords:

AI; artificial intelligence; graphic AI; generative AI; thematic cartography; empirical cartography; pictogram automation; meaningfulness; KI; Künstliche Intelligenz^GND; grafische KI; generative KI; Thematische Kartografie^GND; empirische Kartografie; Piktogramm-Automatisierung; Aussagekraft^GND

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-7-33-2024

URL:

https://ica-abs.copernicus.org/articles/7/33/2024/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/7/33/2024/ica-abs-7-33-2024.pdf

Hosting institution:

Ruhr-Universität Bochum

Statement of responsibility:

Jule Drews, Dennis Edler, Julian Keil, Frank Dickmann

Bibliographic notes:

Published in: Abstracts of the ICA, Volume 7, 2024 - European Cartographic Conference – EuroCarto 2024; 9–11 September 2024, TU Wien, Vienna, Austria; Editors: Georg Gartner, Florian Ledermann, and Andrea Binn | https://ica-abs.copernicus.org/articles/7/index.html