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Decision-support systems for groundwater protection: innovative tools for resource management 总被引：1，自引：0，他引：1
Stefan Kollarits Gerhard Kuschnig Miran Veselic Ante Pavicic Corrado Soccorso Marina Aurighi 《Environmental Geology》2006,49(6):840-848
Governmental authorities are forced by law to make decisions within the framework of European, national and regional directives
in the fields of spatial planning, groundwater and environmental protection. These tasks can be supported by a decision-support
system, which integrates data from various sources and helps to make decision processes more effective and transparent. Basic
work for such a decision support system has been done in a transnational and interdisciplinary project (Interreg II C: KATER),
including metadata definition, metadata system, cartographic tools and GIS tools. The direct integration of these tools and
information in the decision process will be implemented in the next few years (project KATER II). 相似文献
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地理空间元数据及其相关技术的探讨 总被引：12，自引：2，他引：12
对地理空间元数据的概念、功能、内容及标准化情况进行了详细的介绍，并就其部分相关技术做了深入的探讨。 相似文献
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省级地理空间数据交换中心是国家空间信息基础设施建设的核心内容之一。本文针对现阶段在我国建设省级地理空间数据交换中心的问题，分析了其基本建设内容，提出了需解决和应用的关键技术。 相似文献
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本文介绍了武汉市地下管线信息系统时,为了解决海量数据的管理和查询等问题,进行了有针对性的元数据建设,并详细介绍了元数据的具体内容。 相似文献
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地理信息及其元数据标准化 总被引：29，自引：0，他引：29
通过对标准化历史的回顾,阐述了数据标准化在当今人类由工业社会向信息化社会迈进中的作用,并根据全球信息高速公路建设对地学研究的挑战,指出了信息化社会中数据标准对信息采集及信息共享的作用;依ＩＳＯ／ＴＣ２１１对地理信息数据描述中元数据的建议,通过对ＩＳＯ及ＣＥＮ标准的分析,提出了建立我国元数据标准的基本思路,对我国地理信息标准化的建设具有重要意义。 相似文献
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《Marine Policy》2014
Species distribution models (SDMs) offer great potential for inclusion into the toolbox of today's marine environmental manager, especially with regard to marine conservation and planning. The application of SDMs in the marine environment over recent years has been varied but there are still relatively few examples in comparison with terrestrial application, and this is especially true in deep-sea marine ecosystems. This short article builds upon two recent review articles concerning the application of species distribution modelling studies in the marine realm, offering additional practical considerations for discussion. Recommendations for progressing the improved application of SDMs to support marine conservation planning are given, including combining model outputs with other data layers, metadata standards and model error. SDMs have both an urgent and long term contribution to make to marine conservation planning globally, and it is hoped that this article, in combination with developing research on marine SDMs, will contribute to some much needed discussion and inform best practice and new research to enable these models to be of greater use to marine managers. 相似文献
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D. Sheeren S. Mustière J.‐D. Zucker 《International journal of geographical information science》2013,27(8):961-992
When different spatial databases are combined, an important issue is the identification of inconsistencies between data. Quite often, representations of the same geographical entities in databases are different and reflect different points of view. In order to fully take advantage of these differences when object instances are associated, a key issue is to determine whether the differences are normal, i.e. explained by the database specifications, or if they are due to erroneous or outdated data in one database. In this paper, we propose a knowledge‐based approach to partially automate the consistency assessment between multiple representations of data. The inconsistency detection is viewed as a knowledge‐acquisition problem, the source of knowledge being the data. The consistency assessment is carried out by applying a proposed method called MECO. This method is itself parameterized by some domain knowledge obtained from a second method called MACO. MACO supports two approaches (direct or indirect) to perform the knowledge acquisition using data‐mining techniques. In particular, a supervised learning approach is defined to automate the knowledge acquisition so as to drastically reduce the human‐domain expert's work. Thanks to this approach, the knowledge‐acquisition process is sped up and less expert‐dependent. Training examples are obtained automatically upon completion of the spatial data matching. Knowledge extraction from data following this bottom‐up approach is particularly useful, since the database specifications are generally complex, difficult to analyse, and manually encoded. Such a data‐driven process also sheds some light on the gap between textual specifications and those actually used to produce the data. The methodology is illustrated and experimentally validated by comparing geometrical representations and attribute values of different vector spatial databases. The advantages and limits of such partially automatic approaches are discussed, and some future works are suggested. 相似文献