Modelagem para integração de dados sobre macrobentos em Infraestrutura de Dados Espaciais

Q3 Environmental Science Revista Ambiente e Agua Pub Date : 2012-08-27 DOI:10.4136/AMBI-AGUA.774
G. N. Carvalho, Mariana A. Giannotti, S. M. Sartor, J. A. Quintanilha
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引用次数: 1

Abstract

Coastal zones are complex areas that include marine and terrestrial environments. Besides its huge environmental wealth, they also attracts humans because provides food, recreation, business, and transportation, among others. Some difficulties to manage these areas are related with their complexity, diversity of interests and the absence of standardization to collect and share data to scientific community, public agencies, among others. The idea to organize, standardize and share this information based on Web Atlas is essential to support planning and decision making issues. The construction of a spatial database integrating the environmental business, to be used on Spatial Data Infrastructure (SDI) is illustrated by a bioindicator that indicates the quality of the sediments. The models show the phases required to build Macrobenthos spatial database based on Santos Metropolitan Region as a reference. It is concluded that, when working with environmental data the structuring of knowledge in a conceptual model is essential for their subsequent integration into the SDI. During the modeling process it can be noticed that methodological issues related to the collection process may obstruct or prejudice the integration of data from different studies of the same area. The development of a database model, as presented in this study, can be used as a reference for further research with similar goals.
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将宏类数据集成到空间数据基础设施中的建模
海岸带是包括海洋和陆地环境的复杂区域。除了巨大的环境财富外,它还吸引了人类,因为它提供了食物、娱乐、商业和交通等。管理这些领域的一些困难与它们的复杂性、利益的多样性以及缺乏收集和向科学界、公共机构等分享数据的标准化有关。基于Web Atlas组织、标准化和共享这些信息的想法对于支持规划和决策问题至关重要。将环境业务整合到空间数据基础设施(SDI)上的空间数据库的构建以指示沉积物质量的生物指标为例。模型给出了建立大型底栖动物空间数据库所需的阶段,并以桑托斯都市圈为参考。结论是,在处理环境数据时,概念模型中的知识结构对于随后将其整合到SDI中至关重要。在建模过程中,可以注意到与收集过程相关的方法问题可能会阻碍或损害来自同一地区不同研究的数据的整合。本研究中所提出的数据库模型的开发,可以作为具有类似目标的进一步研究的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Revista Ambiente e Agua
Revista Ambiente e Agua Environmental Science-Environmental Science (all)
CiteScore
1.80
自引率
0.00%
发文量
48
审稿时长
22 weeks
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