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A Comprehensive Temporal Model for Geometric and Topological Data Management in 3D Space

Kuper, Paul Vincent 1; Liu, Ruiqi 1; Breunig, Martin 1
1 Geodätisches Institut (GIK), Karlsruher Institut für Technologie (KIT)

Abstract:

Advanced analysis of spatio-temporal data is improving our knowledge about natural phenomena such as landslides and volcanic activity. Furthermore, it can contribute to a deeper understanding of the built environment by predicting city development. However, the data produced by the modelling of these observations can easily rise to terra bytes of 4D (3D space plus time) data. Also, the repeatability of such analysis is essential. Thus, repeatable and reliable access to big spatio-temporal data, models and simulation results should be guaranteed. However, today´s Geographic Information Systems (GIS) are not prepared to meet these requirements. Therefore, we present a comprehensive spatio-temporal data model for GIS and geodatabase management systems that can be used as the “heart” of 4D GIS. The comprehensive model enables a flexible management of time-series-based geometric and topological data. It cares of storage reduction and computational efficiency when storing, retrieving, and processing surface- and volume-based data in 3D space plus time. Furthermore, the model can handle geometry and topology changes of 4D data, i.e., mesh changes of triangulated surfaces and tetrahedral volumes over time. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000191163
Veröffentlicht am 04.03.2026
Originalveröffentlichung
DOI: 10.5194/isprs-annals-X-4-W6-2025-121-2025
Cover der Publikation
Zugehörige Institution(en) am KIT Geodätisches Institut (GIK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 2194-9050
KITopen-ID: 1000191163
Erschienen in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Verlag Copernicus Publications
Band X-4/W6-2025
Seiten 121–128
Bemerkung zur Veröffentlichung 20th 3D GeoInfo Conference 2025, 2–5 September 2025, Kashiwa, Japan
Vorab online veröffentlicht am 18.09.2025
Nachgewiesen in Scopus
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