Tri-space modeling and visualization : concept, implementation, and a case study in wildfire recovery

Category

Published in:

Abstracts of the ICA
Vol. 7.2024 (03.09.2024), art. no. 154, p. 1-2

Volume:

7.2024

Publication date:

03.09.2024

URN:

urn:nbn:de:0307-20251027-003-8

DOI:

10.5194/ica-abs-7-154-2024

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-2, 992,85 kB) : 2 Illustrationen, 1 Textdatei (PDF)

Keywords:

geographic information science; multivariate data; spatio-temporal analysis; visualization; machine learning; explainable artificial intelligence; web applications; wildfire; land cover; Geoinformationswissenschaft; Multivariate Daten^GND; raum-zeitliche Analyse; Visualisierung^GND; Maschinelles Lernen^GND; Erklärbare künstliche Intelligenz^GND; Webanwendung^GND; Waldbrand^GND; Bodenbedeckung^GND

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-7-154-2024

URL:

https://ica-abs.copernicus.org/articles/7/154/2024/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/7/154/2024/ica-abs-7-154-2024.pdf

Hosting institution:

San Diego State University (SDSU) [US]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

André Skupin and Timothy M. Schempp

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