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A Problem-oriented Approach for DEM Data Management and Manipulation

机译:一种面向问题的DEM数据管理和处理方法

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摘要

For the last decades, GIS software technologies have made tremendous development and applied to many special fields when their targets are relevant to geographical locations. But the basis of cartographic mapping of GIS is a restriction for more development in GIS data modelling, storage and manipulation. Recently, much attention is being paid on ORDBMS(Object Relational Database Management System) to represent and manage GIS Data. New approaches have earned acceptance in many research communities and several proposals have emerged in commercial software for solving the management and manipulation on GIS vector data. Though the storage and management of field-based model data (e.g. raster, DEM, TIN) have got less achievement and people still use files and procedural ways to manipulation field-based GIS data in common applications. In this paper a new structure model using ORDBMS technology for field-based data's storage and management was proposed on the basis of full discussion on several GIS data management technologies, then a problem-oriented approach for DEM data management and manipulation was designed and implemented through open source software systems PostgreSQL and Python language. Experimental examples of different DEM data sources were stored, managed and used by using the extended spatial database system. The experiments illustrated that this solution would be a useful supplement to spatial database and it provided an effective way to DEM data management and analysis, and support the interoperability between vector data and field data.
机译:在过去的几十年中,当GIS软件技术的目标与地理位置相关时,它们已取得了巨大的发展,并已应用于许多特殊领域。但是,GIS制图的基础限制了GIS数据建模,存储和处理中的更多开发。近年来,ORDBMS(Object Relational Database Management System,对象关系数据库管理系统)在表示和管理GIS数据方面引起了很多关注。新方法已在许多研究团体中接受,并且在商业软件中出现了一些解决GIS矢量数据管理和操纵的建议。尽管基于字段的模型数据(例如栅格,DEM,TIN)的存储和管理取得的成就较小,并且人们在通用应用程序中仍然使用文件和过程方式来处理基于字段的GIS数据。在充分讨论了几种GIS数据管理技术的基础上,提出了一种基于ORDBMS技术的现场数据存储和管理的新结构模型,然后设计并实现了一种面向问题的DEM数据管理和处理方法。开源软件系统PostgreSQL和Python语言。通过使用扩展空间数据库系统,可以存储,管理和使用不同DEM数据源的实验示例。实验表明,该解决方案将是空间数据库的有益补充,它为DEM数据管理和分析提供了有效的方法,并支持矢量数据和现场数据之间的互操作性。

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