An overview of research on object-oriented spatiotemporal data models
Spatiotemporal data encompasses multidimensional information,including spatial,temporal,relational,and semantic features of geographic phenomena.This data type exhibits distinct spatial,relational,and temporal characteristics.The spatiotemporal data model is an effective tool for simulating and processing such data.Applying object-oriented thinking and technology to these models represents a significant attempt to accurately represent complex spatial objects.The object-oriented spatiotemporal data model,characterized by its rich spatiotemporal semantics,intuitive description forms,and advanced data abstraction techniques,has garnered widespread attention in the field of geographic information research due to its more natural approach to understanding geographical phenomena.The object-oriented spatiotemporal data model leverages object-oriented principles and technology to construct a three-dimensional spatiotemporal representation of the geographical world.It abstracts geographical phenomena into spatiotemporal objects with spatial,attribute,and temporal characteristics,thus enabling the simulation and expression of the geographical world.By digitizing complex spatiotemporal information,this model better aligns with human cognitive processes.Through natural segmentation of the problem domain and construction of spatiotemporal objects based on these segments,it supports object nesting and variable length recording.This approach offers clear advantages in spatiotemporal semantic expression,object evolution and replacement,and efficient data operation and access.Research posits that transforming geographical phenomena from the natural world into spatiotemporal objects in the digital realm requires the construction of conceptual,logical,and physical models.These models facilitate the transition from objective entities to virtual objects.The conceptual model abstracts real-world geographical phenomena into conceptual-level information structures,defining entities and their relationships.This model serves as a cognitive framework for spatiotemporal objects,and can be categorized into topology-based,quadruple-based,event-based,and SFS-based cognitive concepts.The logical model describes the representational behavior of objects and their logical relationships,capturing the changes in position,relationship,and attribute information of spatiotemporal objects over time.This operational model can be divided into operation-driven,event-driven,process-driven,and other methodologies.The physical model maps the logical model to a specific implementation platform,detailing the representation,organizational structure,and access methods of data within a computer system.This storage model for spatiotemporal objects inclueds pure files,file systems,databases,and other storage formats.The object-oriented spatiotemporal data model,grounded in object-oriented principles,aims to describe spatiotemporal objects and their logical relationships,achieving a digital abstraction of objective world geographic phenomena within computers.This model excels in representing complex geographic entities and simulating dynamic changes in the real world.
spatiotemporal dataspatiotemporal data modelobject-orientedspatiotemporal objectconceptual modellogical model
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