首页> 外文会议>International Workshop on Marine Remote Sensing in Northwest Pacific Region; 20041011-12; Beijing(CN) >A raster-based spatio-temporal hierarchical data model for marine information system: a case study of fisheries application
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A raster-based spatio-temporal hierarchical data model for marine information system: a case study of fisheries application

机译:基于栅格的海洋信息系统时空分层数据模型:以渔业应用为例

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The technological demand on marine information has been increasing quickly. But the traditional database technologies have disadvantages to manipulate the large marine information which relates to the position in 3-D with the time. Recently, Greater emphasis has been placed on GIS to deal with the marine information. GIS has shown great success for terrestrial applications in the last decades, but its use in marine fields has been far more restricted. One of the main reasons is that most of the GIS systems or their data models are designed for the land applications. They can not do well the nature of the marine environment and for the marine information. And this reason becomes the fundamental challenge to the traditional GIS and its data structure. This work designed a data model, raster-based spatiotemporal hierarchical data model (RSHDM), for marine information system, which bases on the nature of the data in marine and overcomes the shortages of the current spatio-temporal models when they are used in the field. As an experiment, the Marine Fishery Data Warehouse (FDW) for marine fishery management was set up, which bases on RSHDM. The experiment proved that the RSHDM can do well the data and can extract easily the aggregations that the management needs on different levels.
机译:对海洋信息的技术需求一直在迅速增长。但是,传统的数据库技术在处理与3D位置相关的大量海洋信息方面存在着缺点。最近,人们更加重视GIS以处理海洋信息。在过去的几十年中,GIS在地面应用方面已显示出巨大的成功,但在海洋领域的使用却受到了更大的限制。主要原因之一是大多数GIS系统或其数据模型是为土地应用而设计的。他们不能很好地利用海洋环境的性质和海洋信息。因此,这成为传统GIS及其数据结构的根本挑战。这项工作为海洋信息系统设计了一个基于栅格的时空分层数据模型(RSHDM)数据模型,该模型基于海洋中数据的性质,克服了当前时空模型在海洋中使用时的不足。领域。作为实验,基于RSHDM建立了用于海洋渔业管理的海洋渔业数据仓库(FDW)。实验证明,RSHDM可以很好地处理数据,并且可以轻松提取管理在不同级别上需要的聚合。

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