多粒度时空对象关联关系的分类体系与表达模型

发布时间：2018-03-29 22:27

本文选题：多粒度时空对象　切入点：关联关系　出处：《地球信息科学学报》2017年09期

【摘要】：地理对象之间的关联关系是地理对象之间的相互作用形式。任何地理对象都不是独立存在的,与其他的地理对象有一定的关联关系,并且这些关联关系是复杂多样的。地理场景就是在地理对象之间普遍存在的、复杂多样的关联作用下形成的一个统一的整体。传统GIS数据模型对地理对象之间关联关系的描述多侧重于空间关系,其他的关联关系往往需要经过比较复杂的计算和推理后求得,难以完整地表达地理对象之间复杂的相互作用关系,不完全符合人类对地理现象的认知情况。然而,在全空间系统中,可以根据常见的地理分析需求对多粒度时空对象间关联、作用关系进行分类表达,便于客观实体全方位的抽象与表达。对象间的关联关系可主要分为空间关系、时间关系、属性关系、因果关系、认知关系5大类。本文用地理实体作为案例,分析了关联关系的表达模型。
[Abstract]:The relationship between geographical objects is a form of interaction between geographical objects. Any geographical object does not exist independently and has a certain relationship with other geographical objects. And these relationships are complex and diverse. Geographical scenes are common among geographic objects. The traditional GIS data model focuses on spatial relationships in describing the relationships between geographical objects. Other relational relationships often need to be obtained by more complicated calculation and reasoning. It is difficult to express the complex interaction relationship between geographical objects in a complete way, which does not fully accord with human cognition of geographical phenomena. In the whole space system, the multi-granularity spatio-temporal objects can be classified and expressed according to the common needs of geographical analysis. The relations between objects can be divided into five categories: spatial relation, temporal relation, attribute relation, causality relationship and cognitive relationship. The expression model of correlation relation is analyzed.
【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(2016YFB0502300) 国家自然科学基金项目(41571381)
【分类号】：P208

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