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     Title, abstract, keywords:   Author:
     Geo-information Science , Pages 50-56
 

Feature-based Line Process Spatio-temporal Data Model
XUE Cunjin,SU Fenzhen

1中国科学院地理科学与资源研究所 资源与环境信息国家重点实验室, 北京 100101;2中国科学院研究生院, 北京 100039

Abstract

There exist spatio-temporal fields in objective world, where most phenomena have the dynamic characteristic, with its space, time and attributes changing continuously. And there are many challenges when applying traditional GIS’s data models to describe, organize and represent these dynamic data. And further dynamic analysis is far more difficulty. However, the research on data models based features and data organization process-oriented objects have made a few progress in cadastral dynamic management, detection and analysis. Firstly, the sextuple description framework of the line process spatio-temporal data model based feature is discussed with the core ideal of object-oriented technologies, which can realize the unified storage and dynamic analysis of space, time and attributes. Then based on the analysis of the characteristic of line spatio-temporal process, 3 main classes and 12 kinds of line processes are inducted, and then the feature-based line process spatio-temporal data model is proposed. Furthermore, the UML framework is designed by applying object-oriented technology, and the file hierachical block based-raster model is presented aiming at organizing the line process data. Taking the ocean fronts as an example, the paper discusses the application of the model in spatio-temporal ocean fronts data organization, spatio-temporal inquiry, spatio-temporal information extraction, and spatio-temporal visualization. It is proven that the model is well applicable to line process data with the dynamic characteristics, and can also provide basis for spatio-temporal data model whole designing.
Keywords: feature; line process spatio-temporal data model; file hierachical block data model; ocean fronts

Corresponding Author Contact Information Corresponding author email:xuecj@lreis.ac.cn


2007 Institute of Geographic Sciences and Natural Resources Research, CAS.