5D Modelling - applications and advantages

As explained in van Oosterom & Stoter (2012), the nD modeling approach allows us to include different aspects of geo-information in spatial modeling at a fundamental level, i.e. by treating these aspects as additional (geometric) dimensions. This paper explains how nD data models and data structures may solve the issues of redundancy and inconsistency caused by unconnected data sets at about the same location, in several time periods (4D) and scales (5D). The paper converts the 5D data modeling concept to practical cases and shows how the intermediate models, specifically 2D+scale (Section 2), 3D+scale (Section 3) and 2D+time (Section 4), already yield fundamental improvements compared to current independent management of 2D/3D and multiscale data. The paper ends with conclusions in Section 5.

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