This paper describes about spatio-temporal geographic information system, named STIMS(Spatio-Temporal Information Management System). STIMS handle temporal information assigned each geographic object and can execute several kinds of spatial operations on the world of specified time. The system adopts implicit topology data model to handle such temporal data. By this data model, the data structu...

the karnafully is one of the most important rivers due to its profound influence on water chemistry and sediment characteristics. the present study intended to assess the quality of water and sediment from intertidal zone of this river in respect to the pollution index. seasonal water and sediment samples were collected during four seasons (monsoon, post-monsoon, winter, and pre-monsoon) of 201...

A conceptual model for environmental data is presented with special emphasis on the ability to store spatio-temporal references of the data. Other aspects of the model are the ability to handle hierarchical data and semantics of the measurements. Introduction How people perceive things and their relationships is not only the basis of forming theories but also for collection and storage of infor...

This paper presents a new approach in spatio-temporal data classification. This classification can be used in many branches including robotics, computer vision or medical data analysis. Due to easy transformation of time dimension of spatio-temporal data into the phase of complex number, the presented approach uses complex numbers. The classification is based on a complex-valued neural network ...

This paper deals with spatio-temporal indexing methods for moving objects. Spatio-temporal indexing method gives a basis for data management structure for efficient search for large scale spatio-temporal data. In this paper. t\co types of indexing methods are proposed for managing spatio-temporal data for moving objects. Both methods are evaluated by computer simulation. and the merits and deme...

This paper presents a transportation spatio-temporal system that efficiently converts traffic video data into vehicular motion information in spatio-temporal databases for a variety of transportation applications. The proposed transportation spatio-temporal system interpolates the vehicle trajectory data (i.e., time, location, and speed), which are extracted from video, and integrates them with...

We present a spatiotemporal analysis of a statistically stationary rotating-turbulence experiment, aiming to extract a signature of inertial waves and to determine the scales and frequencies at which they can be detected. The analysis uses two-point spatial correlations of the temporal Fourier transform of velocity fields obtained from time-resolved stereoscopic particle image velocimetry measu...

Spatio-temporal databases store information about the positions of individual objects over time. In many applications however, such as traffic supervision or mobile communication systems, only summarized data, like the average number of cars in an area for a specific period, or phones serviced by a cell each day, is required. Although this information can be obtained from operational databases,...