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Titlebook: Integrated Technologies for Environmental Monitoring and Information Production; Nilgun B. Harmancioglu,Sevinc D. Ozkul,Paul Geerde Book 2

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書(shū)目名稱Integrated Technologies for Environmental Monitoring and Information Production
編輯Nilgun B. Harmancioglu,Sevinc D. Ozkul,Paul Geerde
視頻videohttp://file.papertrans.cn/469/468666/468666.mp4
叢書(shū)名稱NATO Science Series: IV:
圖書(shū)封面Titlebook: Integrated Technologies for Environmental Monitoring and Information Production;  Nilgun B. Harmancioglu,Sevinc D. Ozkul,Paul Geerde Book 2
描述This book presents the proceedings and the outcomes of the NATO Advanced Research Workshop (ARW) on Integrated Technologies for Environmental Monitoring and Information Production, which was held in Marmaris, Turkey, between September 10- 14, 200 I. With the contribution of 45 experts from 20 different countries, the ARW has provided the opportunity to resolve the basic conflicts that tend to arise between different disciplines associated with environmental data management and to promote understanding between experts on an international and multidisciplinary basis. The prevailing universal problem in environmental data management (EDM) systems is the significant incoherence between data collection procedures and the retrieval of information required by the users. This indicates the presence of problems still encountered in the realization of; (1) delineation of objectives, constraints, institutional aspects of EDM; (2) design of data collection networks; (3) statistical sampling; (4) physical sampling and presentation of data; (5) data processing and environmental databases; (6) reliability of data; (7) data analysis and transfer of data into information; and (8) data accessibility
出版日期Book 2003
關(guān)鍵詞DOM; Environmental Management; Extensible Markup Language (XML); GIS; Geoinformationssysteme; development
版次1
doihttps://doi.org/10.1007/978-94-010-0231-8
isbn_softcover978-1-4020-1399-7
isbn_ebook978-94-010-0231-8Series ISSN 1568-1238
issn_series 1568-1238
copyrightKluwer Academic Publishers 2003
The information of publication is updating

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Uncertainty In Environmental Analysision. The modeling errors are either systematic or random. The uncertainty in modeling or prediction may be due to sampling error and imperfection of the prediction model, giving rise to both random error and systematic error. This paper describes various types, sources, and measures of uncertainty that apply to environmental data analysis.
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