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A Problem-oriented Approach for DEM Data Management and Manipulation

机译:导向的DEM数据管理和操纵方法

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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,GIS软件技术使得当他们的目标与地理位置有关时,对许多特殊领域进行了巨大的发展。但GIS的制图映射的基础是GIS数据建模,存储和操纵中更多的开发的限制。最近,在ORDBMS(对象关系数据库管理系统)上支付了很多关注,以表示和管理GIS数据。新方法已在许多研究社区获得接受,并且在商业软件中出现了几个提案,用于解决GIS矢量数据的管理和操纵。虽然基于现场的模型数据(例如,栅格,DEM,TIN)的存储和管理已经缺少成就,但人们仍然使用文件和程序方式来操纵基于现场的GIS数据。在本文中,基于几种GIS数据管理技术的全面讨论,提出了一种新的结构模型,用于基于现场的数据存储和管理的基础数据的存储和管理,然后设计并实施了针对DEM数据管理和操作的问题的方法开源软件系统PostgreSQL和Python语言。使用扩展空间数据库系统存储,管理和使用不同DEM数据源的实验示例。实验说明了该解决方案是空间数据库的有用补充,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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