Recently, in the field of ITS (Intelligent Transportation System), marketing and disaster prevention, data with finer spatio-temporal resolution with respect to time, space and attribute will be needed for spatio-temporal database compared with the resolution of existing maps or statistical data. On the other hand, many kinds of spatio-temporal data are being repeatedly acquired or generated, such as pseudolite or electric tag, etc. in addition to existing GPS, PHS, traffic counter and monitoring camera. However, those data are still so fragmentary and may have some errors that we cannot always directly monitor dynamic changes of the spatial objects or features with sufficient spatio-temporal resolution. Therefore we need to develop a method for arranging various kinds of spatio-temporal data and inferring the most probable spatio-temporal state of feature. In this research, we give a reconstruction algorithm and propose GIS reasoning for reconstruction of spatio-temporal change of feature. Furthermore we show some application examples for some fields and illustrate business model based on this type of GIS.
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