Abstract
Abstract. With the rapid development of wireless sensor and information technology, there is a trend of transition from "digital monitoring" to "intelligence monitoring" advancing process. The traditional model cannot completely match the dynamic data to accurately describe changes of geographical and environmental changes. In this paper, we try to build a process-oriented and real-time spatiotemporal data model to meet the demands. With various types of monitoring devices, detection methods and the utilization of new technologies, the model can simulate the possible waterlog area in a specific year by analyzing the given data. By testing and modifying the spatiotemporal model, we can come to a rational conclusion that our model can forecast the actual situation in certain extent.
Highlights
Simulation and expression for the dynamic process of spatial and temporal geographic data have characteristics like multi origins, high variability and uneven distributions
Our new spatiotemporal data model combined with the needs of real-time monitoring based on GIS, spatial relationship and the model of digital objects through various spatial analysis
The core part of it is a spatiotemporal process driven by multi layer factors based on event that can be briefly described as follows: in a certain time frame, the sensor seized geographical objects produced by events
Summary
Simulation and expression for the dynamic process of spatial and temporal geographic data have characteristics like multi origins, high variability and uneven distributions. The traditional static GIS and geographic information system is not sufficient to support the dynamic expression and the evolution of the geographical process nowadays. The demand of the storage, management, and related properties of data cannot be satisfied as well. The expression of complex spatiotemporal process semantics cannot support multi sensors, granularities and multi level spatiotemporal changes. We try to propose a multi-level spatiotemporal data model with spatiotemporal process. On the basis of analyzing the existing video data model, we combine the spatial data storage, process modelling and visual technology to build a real-time expression model
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