Data Enhancement and Standardization Using AIS and GIS: A Public and Private Effort

SAMIR DHAR; PETER LINDQUIST

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Data Enhancement and Standardization Using AIS and GIS: A Public and Private Effort

机译：使用AIS和GIS的数据增强和标准化：公共和私人的努力

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Over time, a number of federal agencies have been involved in collecting and maintaining marine navigation data. Similarly, private industry involved in maritime commerce also collects and maintains its own proprietary navigation-related database. In several cases, data collected by federal agencies and industry is incomplete, and over time these data sets become inconsistent and often unreliable. In addition, operational inefficiencies arise when private industry data are shared between different owners, operators, and service providers. Most federal agencies also face similar issues of incompatibility and incompleteness of marine navigation data. To address these problems, the U.S. Army Corps of Engineers (USACE) has initiated an effort to standardize and enhance navigation and maritime data across selected government agencies through the Federal Initiative for Navigation Data Enhancement (FINDE). On the private industry side, the Corps has been involved in the Federal-Industry Logistics Standardization (FILS) initiative. In parallel, the Corps has initiated an effort to enhance the data and make them even more accurate by using the Automatic Identification System (AIS). This paper documents these efforts and demonstrates how GIS technology has been incorporated to enhance data acquisition to detect vessel stops, particularly at docks and terminals.

机译：随着时间的流逝，许多联邦机构已参与收集和维护海上航行数据。同样，参与海运的私营行业也收集并维护自己的专有导航相关数据库。在某些情况下，联邦机构和行业收集的数据不完整，并且随着时间的流逝，这些数据集会变得不一致并且常常不可靠。此外，在不同的所有者，运营商和服务提供商之间共享私有行业数据时，运营效率低下。大多数联邦机构还面临着类似的海洋航行数据不兼容和不完整的问题。为了解决这些问题，美国陆军工程兵团（USACE）已开始努力通过联邦导航数据增强计划（FINDE）在选定的政府机构中标准化和增强导航和海事数据。在私营行业方面，军团参与了联邦工业物流标准化（FILS）计划。同时，兵团已开始努力通过使用自动识别系统（AIS）来增强数据并使其更加准确。本文记录了这些努力，并演示了如何将GIS技术与如何结合使用来增强数据采集以检测船只停靠点，特别是在码头和码头。

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来源
《Journal of map & geography libraries》 |2012年第3期|p.181-197|共17页
作者
SAMIR DHAR; PETER LINDQUIST;
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作者单位

Geography and Planning, University of Toledo, 2801 W. Bancroft St., Toledo, OH 43606;

The University of Toledo, Toledo, Ohio, USA;

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正文语种 eng
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关键词
AIS; GIS; maritime data; FINDE; FILS; data enhancement; data standardization; USACE; USCG;

机译：AIS;地理信息系统海事数据;FINDE;电影;数据增强;数据标准化;USACE;美国海岸警卫队;

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Data Enhancement and Standardization Using AIS and GIS: A Public and Private Effort

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