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Various methods of analysis and dataset have been used for urban studies. However, used urban data often has low spatial resolution,especially regional statistics, though statistical data can cover la...
Hagerstrand's minimalist representation of individual lives and opportunities as lifelines and prisms predates the technologies available to current GIScience but resonates with many emerging spatio-t...
3D data model is the better model at present, but it can’t describe the temporal and changes, can not describe the dynamic characteristic. So, we need introduce time to the model, integrate time with ...
Multivariable spatio-temporal data is used to describe the change of characteristics of objects with time and location, and the change in location of objects is also considered. To analysis of this ki...
Traditional data model takes the geometric object as the modeling target and results directly in decomposing geographic phenomena into a series of objects. Furthermore, the temporal data and spatial d...
Recently GIS have been used in the surveillance and monitoring of diseases and control of epidemics. Most of those mapping systems use aggregated datasets. This aggregated datasets are not sufficient ...
The paper proposes an object-oriented spatio-temporal data model based on space-time composite by taking advantage of high topological representation ability of the space-time composite data model and...

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