关键词: 全空间信息系统, 多粒度时空对象, 动态行为, 表达模型, 动力学模型, 行为规则, 模式挖掘, 智能体

Abstract:

The description of spatial entities with dynamic change characteristics should include dynamic behavior as well as inherentl attributes. Traditional GIS models the inherent attributes and dynamic behaviors of spatial objects separately, which is essentially a static modeling idea based on map. However, the multi-granularity spatio-temporal objects take the behavior ability as the inherent attributes of objects, which is an important feature different from other objects, which makes the Pan-Spatial Information System (PSIS) be able to describe the "living" geographical entities with cognitive and behavioral capabilities. This paper focuses on the description and expression of spatio-temporal entities with regularized dynamic change characteristics, expounds the expression ideas of dynamic behaviors of multi -granularity spatio-temporal objects from the perspective of multi-granularity spatio-temporal objects, and proposes a dynamic behavior expression model of multi-granularity spatio-temporal object individual and object world, which provides a new viewpoint for comprehensive understanding and expression of dynamic changes of spatial objects. According to the feature of multi-attribute staggered change, multi-object complex linkage, multi-process dynamic autonomy, In order to carry out the actual modeling of multi-granularity spatio-temporal object dynamic behavior, this paper summarizes four different ways of dynamic behavior changing inherent attributes, and presents the expression methods of dynamic behavior based on dynamics, rules, data mining and intelligence agent respectively It is discussed. Finally, an empirical analysis is carried out in combination with practical application. The results show that it is no longer necessary to design additional data models to integrated model the internal attributes and dynamic behaviors of spatial entities, and the behaviors and objects are no longer separated; using the unified dynamic behavior expression model, the behavior is not only decoupled from the object, but also universal, inheritable and reusable; the combination of different behaviors of objects can In order to describe the complex dynamic change process of spatial entities, it provides useful experience and reference for object behavior modeling in the PSIS.

Key words: pan-spatial information system, spatio-temporal objects of multi-granularity, dynamic behavior, representation model, dynamic model, behavior rules, pattern mining, Intelligent Agent