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With the unprecedented availability of continuously updated measured and generated data there is an immense potential for getting new and timely insights – yet, the value is not fully leveraged as of ...
For the sake of environmental change monitoring, a huge amount of geospatial and temporal data have been acquired through various networks of monitoring stations. For instance, daily precipitation and...
Temporal Geographic Information System (TGIS), which aims to collect, manage and analyze dynamic geographic phenomena, is a hot scientific research field. The all-important task of developing a TGIS i...
Object-Relational Database (ORDB) techniques are developed rapidly in recent years and widely used for spatial data storage and manipulation. The ORDB has strong basis both on theories and application...
As efforts grow to develop spatio-temporal database systems and temporal geographic information systems that are capable of conveying how geographic phenomena change, it is important to associate the ...
This paper discusses the judgement of data quality for a collection of 132 geodatasets and evaluates different methods of visualising the results for presentation alongside the datasets themselves in ...
On coastal areas, recent increase in production of open-access high-quality data over large areas reflects high interests in modeling and geovisualization, especially for applications of sea level ris...
Forests play an important role for sustaining the natural environment of human living. Forest fires not only destroy natural environment and ecological equivalence, but also threaten security of life...
Spatio-temporal database is a application base of Temporal GIS, meanwhile, its basic theory is spatio-temporal data model. Traditional GIS, often was be called Static GIS, generally not keep the hist...
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 ...
“Base state with amendments” preserve data state of sometime and increment relative to base state. It reduces redundant data, but efficiency to recover historical data has changed lower. In order to i...
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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