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In this paper, a participatory sensing-based model for mining spatial information of urban emergency events is introduced.
Since the location information is an important aspect for mining spatial information, the message with the location information can be thought as a positive sample.
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Crowdsourcing or participatory sensing may be a potential solution mining the spatial information of urban emergency events.
Secondly, positive samples are selected to mine the spatial information of urban emergency events.
Positive sample is the set of messages posted by social users, which can be used to mine the spatial information of an urban emergency event.
In the proposed method, the spatial information of an urban emergency event can be mined since some messages sensing by social users have exact location information.
This step combines the appropriate subsidence data together into a GIS spatial database such as a mining-panel map, a seam layer, a surface-elevation layer, and spatial information from overburden strata.
The system architecture and technical characteristics of integrated spatial information service platform were analyzed firstly, which guarantee service ability of digital mine.
The shapefiles will be produced in-house and the interactive map by Informed Solutions, a spatial information and systems consultancy.
It used to be that the printed map functioned as its own database, the primary storage medium for spatial information.
The other hemisphere interprets visual and spatial information.
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