Abstract
Abstract. Starting from the object-oriented idea, this paper analyses the existing event-based models and the logical relationship between behavioral cognition and events, and discusses the continuity of behavioral cognition on the time axis from the perspective of temporal and spatial cognition. A geospatial data model based on behavioral-event is proposed. The physical structure and logical structure of the model are mainly designed, and the four-dimensional model of “time, space, attribute and event” is constructed on the axis. The organic combination of the four models can well describe the internal mechanism and rules of geographical objects. The expression of data model based on behavior-event not only elaborates the basic information of geospatial objects, but also records the changes of related events caused by the changes of geographic Entities' behavior, and expresses the relationship between spatial and temporal objects before and after the changes of behavior cognition. This paper also designs an effective method to organize spatio-temporal data, so as to realize the effective management and analysis of spatio-temporal data and meet the requirements of storage, processing and mining of large spatio-temporal data.
Highlights
1.1 General InstructionsWith the advent of the era of big data, the new generation of GIS must have the ability to effectively express, manage and analyze large geo-spatial data
Spatio-temporal model is the basis and key to solve the above problems.Spatio-temporal model can effectively organize and manage the attributes, spatial and temporal semantics of Temporal Geographic data [1]. It is the basis of temporal GIS (TGIS) to reasonably and effectively express the temporal and spatial changes of entities in the real world and organize their spatial and temporal relations
From the point of view of behavior cognition and event semantics of geographic objects, this paper describes the causality before and after the change of geographic space-time objects by constructing a Spatiotemporal data model based on behavior-event
Summary
With the advent of the era of big data, the new generation of GIS must have the ability to effectively express, manage and analyze large geo-spatial data. Spatio-temporal model is the basis and key to solve the above problems.Spatio-temporal model can effectively organize and manage the attributes, spatial and temporal semantics of Temporal Geographic data [1] It is the basis of temporal GIS (TGIS) to reasonably and effectively express the temporal and spatial changes of entities in the real world and organize their spatial and temporal relations. From the point of view of behavior cognition and event semantics of geographic objects, this paper describes the causality before and after the change of geographic space-time objects by constructing a Spatiotemporal data model based on behavior-event. It predicts the future of geographic phenomena according to the reasons and trends of change, and organizes time with object-oriented thinking. Attribute and event information, and an effective method for spatiotemporal data organization is designed to satisfy the operation of spatiotemporal data in storage and query
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