ABSTRACT

The search for the most appropriate GIS data model to integrate, manipulate and analyse spatio-temporal data raises several research questions about the conceptualisation of geographic spaces. Although there is now a general consensus that many environmental phenomena require field and object conceptualisations to provide a comprehensive GIS representation, there is still a need for better integration of these dual representations of space within a formal spatio-temporal database. The research presented in this paper introduces a hybrid and formal dual data model for the representation of spatio-temporal data. The whole approach has been fully implemented in PostgreSQL and its spatial extension PostGIS, where the SQL language is extended by a series of data type constructions and manipulation functions to support hybrid queries. The potential of the approach is illustrated by an application to underwater geomorphological dynamics oriented towards the monitoring of the evolution of seabed changes. A series of performance and scalability experiments are also reported to demonstrate the computational performance of the model.

摘要

寻找最合适的 GIS 数据模型来整合、操作和分析时空数据提出了几个关于地理空间概念化的研究问题。尽管现在普遍认为许多环境现象需要场和对象概念化以提供全面的 GIS 表示，但仍然需要在正式的时空数据库中更好地整合这些空间的双重表示。本文介绍的研究介绍了一种混合形式的双数据模型，用于表示时空数据。整个方法已经在 PostgreSQL 及其空间扩展 PostGIS 中完全实现，其中 SQL 语言通过一系列数据类型构造和操作函数进行扩展，以支持混合查询。该方法的潜力通过应用于水下地貌动力学以监测海床变化的演变来说明。还报告了一系列性能和可扩展性实验，以证明模型的计算性能。