The 3D buildings change over the time not only geometrically, butalso semantically. However, the current existing 3D city models are not able to represent the change information, because they arereconstructed on the basis of information frozen at one certain time point. Although lots of available spatio-temporal data modelshave been reported in the literature, they can hardly managecomplex 3D geometries along with their semantic changes at differentlevels of details. More critically, they do not support continuous spatiotemporal changes. This paper presents an approachfor integrating and representing time-dependent features in 3D building models. The proposed spatiotemporal data model is hierarchicalentity-based. It is intended to circumvent the above mentioned problems by adding timestamps to entities, categorizingthe spatiotemporal changes, and mathematically describing theprocesses of changes. This data model could be realized either byextending the widespread OpenGIS standard CityGML or by establishing an own relational database. The data model in its currentversion supports four basic types of spatiotemporal queries. The results of queries can be visualized in two different modes: staticallyand dynamically.
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The 3D buildings change over the time not only geometrically, butalso semantically. However, the current existing 3D city models are not able to represent the change information, because they arereconstructed on the basis of information frozen at one certain time point. Although lots of available spatio-temporal data modelshave been reported in the literature, they can hardly managecomplex 3D geometries along with their semantic changes at differentlevels of details. More critically, they do not...
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