In this paper, a new spatial-temporal data model based on state-event is presented, and the qualifications for conversion between spatial-temporal data models are analyzed.
本文提出了基于状态-事件的时空数据模型,并系统阐述各时空数据模型之间的相互转换条件。
Based on data integration technique, direct transmittance models for different temporal and spatial scales were established and the accuracy of different models was analyzed thoroughly.
运用数据集群技术,建立了我国不同时空尺度直接透射率的估算模式,对比分析了不同模式的拟合精度。
The conceptual modeling elements and mutual relations between them are discussed and some key technical problems are identified in the development of feature based temporal - spatial data models.
讨论了基于特征的概念模型要素及相互关系;提出了基于特征的时空数据模型所面临的关键技术。
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