five

Vessel Density and Vessel Speed Data off California: 2008-2015

收藏
doi.org2025-03-22 收录
下载链接:
http://doi.org/10.17632/4tgwv45bz8.1
下载链接
链接失效反馈
官方服务:
资源简介:
Automatic identification system (AIS) data are used to identify and track vessels for various purposes (primarily navigational safety). These data can be used to study vessel traffic, such as ship routing and speed over ground (SOG). Source data were obtained from the United States Coast Guard Navigation Center (USCG NAVCEN) for the period from June 2008 to December 2015. Derived data resulting from the processing of the source data are included here. This data set presents annual raster data (1 square kilometer grid size) off California from 2008-2015 for cumulative ship traffic density (kilometers/day) and mean SOG (knots; distance-weighted). The universe of data is limited to vessels with a length greater than or equal to 80 meters. The data are analyzed in three groups: freight vessels (container, general cargo, bulk carrier, refrigerated cargo, vehicle carrier, etc.), tanker vessels (crude oil, chemical/products, liquid petroleum gas, etc.) and all vessels (the previously noted vessels, plus passenger vessels and other vessel classes). Esri ArcGIS software (ArcGIS Desktop 10.4.1) was used to process the data. The data are contained in a file geodatabase format as raster data sets. Metadata for the overall data set are contained at the level of the file geodatabase. The data were generated and used for a research article (Moore et al. 2018): Moore, T.J., Redfern, J.V., Carver, M., Hastings, S., Adams, J.D., Silber, G.K., 2018. Exploring Ship Traffic Variability off California. Ocean and Coastal Management. https://doi.org/10.1016/j.ocecoaman.2018.03.010 See this manuscript for more information on the data description, issues, and processing methods.

自动识别系统(AIS)数据被用于识别和追踪船舶,服务于多种目的(主要涉及航行安全)。这些数据可用于研究船舶交通,例如船舶航行路线和地面速度(SOG)。原始数据来源于美国海岸警卫队航行中心(USCG NAVCEN),时间跨度为2008年6月至2015年12月。此处包含了对原始数据处理后得到的衍生数据。本数据集展示了2008-2015年间加利福尼亚海域的年度栅格数据(1平方公里网格尺寸),包括累积船舶交通密度(千米/日)和平均地面速度(节;距离加权)。数据范围限定于长度大于或等于80米的船舶。数据被分为三组进行分析:货运船舶(集装箱、普通货物、散货船、冷藏货物、车辆运输船等)、油轮船舶(原油、化学品/产品、液化石油气等)以及所有船舶(上述船舶类型,加上客船和其他船舶类别)。数据处理使用了Esri ArcGIS软件(ArcGIS Desktop 10.4.1)。数据以栅格数据集的形式包含在文件地理数据库格式中。数据集的元数据位于文件地理数据库级别。这些数据被用于生成并应用于一篇研究论文(Moore等人,2018年)中,论文题目为《探索加利福尼亚海域船舶交通的变异性》。更多信息,包括数据描述、问题和处理方法,请参阅该论文。
提供机构:
Mendeley Data
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作