地理相关数据库系统

B. Brinson, R. Cannon
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引用次数: 0

摘要

1977年初夏,南卡罗来纳大学贝尔·w·巴鲁克海洋生物学和海岸研究所获得了国家科学基金会的资助,用于研究沿海河口的潮汐通量。该项目旨在测量海洋和沿海水域之间营养物质和化学物质的转移,将持续三年,包括收集和分析该研究所位于南卡罗来纳州乔治城附近的河口的现场数据。在进行这项研究的同时,还决定进行一项可行性研究,探讨建立一个数据库系统的可行性,该数据库系统可以包括所有与河口有关的生物数据以及本项目的这些数据。这一系统的初步要求如下:i.数据应在不确定的基础上和在特定的基础上检索。例如,兴趣范围包括检索数据库中包含的特定类型化学元素的所有信息的能力,以及在特定时间或特定位置检索该元素的特定信息,或两者兼而有之。2. 所有类型的与生物学有关的数据都应尽可能地加以解释和规划。然而,该结构的整体设计必须能够随着新类型信息的收集而扩展。3.逻辑存储的结构必须提供最小的浪费空间。考虑到没有一种类型的分析可以收集所有类型的生物数据,这一要求很重要。事实上,每次只收集这些总类型中的一小部分。4. 数据库的总体设计应考虑到生物标本之间的相互作用和能量交换速率、环境的强迫作用以及化学和营养物质的数量。这一要求,即量化和存储河口环境动态变化的能力,对目前的国家科学基金会拨款特别重要。5. 存储方法应该相对容易理解,以便没有经验的用户也可以从数据库系统中获得最大的好处,并使扩展成为一个不那么繁琐的过程。该系统的基本设计问题是如何将所有类型的生物信息关联成一种有用的关系,因为计算机系统中管理数据的方式决定了满足用户需求的程度,也决定了任何信息系统的效率。很明显,为所有生物数据提供存储的单一大型记录结构保证每个条目浪费80%以上的空间,应该避免。前面提到的约束条件支持这个前提。确定数据收集的时间和地点最终被证明是最好的方法,因为它不仅可以随着时间的推移而持续,而且可以很容易地将所有类型的不同信息联系起来。根据这一决定,还确定应在收集地点和收集时间之间建立层次关系,以便提供大规模的不合格或完全合格的单一元素检索。下面的层次关系被概括地设计用来定义任何数据的收集点:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A geographical correlated data base system
During the early summer of 1977, the Belle W. Baruch Institute for Marine Biology and Coastal Research at the University of South Carolina received a National Science Foundation grant to conduct research into the tidal fluxes of coastal estuaries. Designed to measure the transfer of nutrient and chemical material between the sea and coastal waters, the project will last for three years and will involve the collection and analysis of on-site data at the Institute's estuary near Georgetown, South Carolina. In conjunction with this research, it was also decided to conduct a feasibility study into the practicality of constructing a data base system which could contain all estuary-related biological data, as well as that data for this project. Initial requirements of such a system were set forth as follows: i. The data should be retrievable on an unqualified basis as well as on a specific basis. Interest ranged, for instance, in having the capability to retrieve all information on a specific type of chemical element contained in the data base as well as retrieving particular information on that element at a specific time, or at a specific location, or both. 2. As much as possible, all types of biologically related data should be accounted and planned for. The structure's overall design, however, must be capable of expansion as new types of information are collected. 3. The structure for logical storage must provide for a minimum of wasted space. This requirement is important when considering the fact that no one type of analysis results in the collection of all types of biological data. In fact, only a small fraction of these total types are collected at any one time. 4. The overall design of the data base should account for interaction and rates of exchange of energy between biological specimens, the forcing functions of an evironment, and chemical and nutrient quantities. This requirement, the ability to quantify and store dynamic changes of an estuarian environment, was of particular importance for the current NSF grant. 5. The method of storage should be relatively simple to understand in order that the inexperiienced user could also receive maximum benefit from the data base system and to make expansion a less tedious process. The basic design problem of the system was how to correlate all types of biological information into a useful relationship, as the manner in which data is managed in a computer system determines the degree to which user needs can be satisfied and also governs the efficiency of any information system. It was readily apparent that a single, large record structure affording storage for all biological data promised upwards of 80% wasted space per entry and should be avoided. This premise is supported by the constraints mentioned previously. The qualification of when and where data were collected eventually proved to be the best approach as, not only would it continue over time, but it readily correlated all types of diverse information. With this decision, it was also determined that a hierarchical relationship between location of collection and time of collection should be established to provide for large scale unqalified, as well as precisely qualified, one element retrievals. The following hierarchical relationship was summarily designed to define the collection point of any data:
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