文章基本信息

标题：Research on Change-of-Feature Based Spatio-Temopral Object Relational Model
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作者：XiaoChun Wu ; Weihong Cui ; YongQi Huang 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B2
页码：119-122
出版社：Copernicus Publications
摘要：The spatio-temporal data is our cognition to external matter and the spatio-temporal data model is the fundamental basic to manage the spatio-temporal data. The spatio-temporal object is always changing so we need a spatio-temporal data model which can reflect the change information and change reason and roundly and exactly describe the spatio-temporal world. At the same time more and more demands to spatio-temporal data are proposed, but now the research of the spatio-temporal data model still is on the stage of theory research and can not implement the real application. We proposed a new model-the change-of-feature based spatio-temporal object relational data model by researching and analyzing the current spatio-temporal data models. This model reflects the changes of object and changing reason. Because it used the object relational way to implement it is easy to combine with current mainstream database- relational database. The article mainly developed the feature change and introduced the concept model and its implement and finally gave an example of implementing our model in the agriculture management. The article is an attempt to resolve the implementation of the spatio-temporal data model
关键词：Feature; Feature Change; Event; State; Orient-Relational Data Model; Spatio-Temporal Data Model