政区多粒度时空对象建模及其Geodatabase实现

发布时间：2018-06-21 09:24

本文选题：全空间信息系统 + 时态地理信息系统　；参考：《地球信息科学学报》2017年09期

【摘要】：全空间信息系统是将现实世界抽象为由多粒度时空对象组成的数据世界,对动态且复杂的现实世界中的各类时空实体对象进行表达、分析等。时空数据模型是时态地理信息系统(TGIS)核心,在一些特定领域上取得了较好的应用效果,对时空对象的时态信息进行了一定程度的表达,但仍旧无法完整地描述时空对象的变化以及联系。本文在分析时空数据模型的研究现状和存在问题的基础上,以全空间多粒度时空对象建模为指导思想,以北京近百年来的政区演变为例,分析了政区的基本特征,进而将政区看作是多粒度时空对象,探索了多粒度时空对象的建模方法,对政区进行了多粒度时空对象表达,并采用可视化表达的方法进行了实验验证。结果表明:多粒度时空对象建模能较好地反映政区的空间特征、属性特征和时间特征,反映其在时空上的演变过程以及便于更好地支持时空对象的查询、分析和可视化表达等。
[Abstract]:The whole spatial information system abstracts the real world as a data world composed of multi-granularity spatio-temporal objects, and expresses and analyzes all kinds of spatio-temporal entities in the dynamic and complex real world. Spatio-temporal data model is the core of temporal Geographic Information system (TGIS). It has achieved good application effect in some specific fields. The temporal information of spatio-temporal objects is expressed to a certain extent. However, it is still impossible to describe the changes and connections of spatiotemporal objects. On the basis of analyzing the present research situation and existing problems of spatio-temporal data model, this paper takes the multi-granularity spatio-temporal object modeling in the whole space as the guiding ideology, and takes the evolution of Beijing political district in the past hundred years as an example to analyze the basic characteristics of the administrative district. Furthermore, the political district is regarded as a multi-granularity spatio-temporal object, and the modeling method of multi-granularity spatio-temporal object is explored, and the multi-granularity spatio-temporal object representation is carried out, and the visual representation method is used to verify the modeling method of the multi-granularity spatio-temporal object. The results show that the modeling of multi-granularity spatio-temporal objects can well reflect the spatial characteristics, attribute features and time features of political areas, reflect the evolution process of spatio-temporal objects, and support the query, analysis and visual expression of spatio-temporal objects better.
【作者单位】：南京师范大学地理科学学院;南京师范大学虚拟地理环境教育部重点实验室;江苏省地理信息资源开发与利用协同创新中心;
【基金】：国家重点研发计划项目(2016YFBO502300) 国家自然科学基金项目(41231173;41601412) 江苏高校优势学科建设工程资助项目(164320H116)
【分类号】：P208

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