48862
Commercial Vessel Density October 2009-2010 AIS National
CommercialVesselDensityOctober2009-2010National
Data Set
Published / External
55360
AIS
Project
Completed
2012-09
These data were generated to provide insight into traffic patterns on a macro scale so they could be analyzed across the coastal waters of the Continental United States. For this dataset, a transit is counted for every unique vessel intersecting a 1 kilometer square grid cell each day. This data represents the total number of vessel transits from October 2009 - October 2010. There were some grid cells which were unable to be processed, but it is not perceived that this interferes with the integrity of these data.
Please note multiple connection errors occurred during the time frame of this study. In most cases, data gaps were filled by making subsequent requests to the Coast Guard or other groups receiving the same data feed. However, due to resource constraints, uninterrupted coverage was not obtained. Overall data outages were minimal, on the order of less than a day per month. Because outages were random and affect all areas uniformly, they do not have a significant effect on the integrity of the data. As stated on the USCG NAIS website, AIS data are not representative of all vessel traffic and USCG NAIS receivers do not fully cover the entire extent of this study area. Please take time to understand both of these limitations.
To support coastal and ocean planning and other activities pursuant to the Energy Policy Act, Coastal Zone Management Act, Magnuson-Stevens Fishery Conservation and Management Act, National Environmental Policy Act, Rivers and Harbors Act and the Submerged Lands Act.
11105
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.000001
Longitude_Resolution: 0.000001
Geographic_Coordinate_Units: Decimal degrees
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 1980
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT
Theme
ISO 19115 Topic Category
oceans
Theme
ISO 19115 Topic Category
transportation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Theme
AIS
Theme
ship counts
Theme
vessel traffic
Spatial
National
Spatial
United States
Office for Coastal Management
Charleston
SC
Data Set
None Planned
These data are intended for coastal and ocean use planning. Not for navigation.
49116
Commercial Vessel Density October 2009-2010 AIS National
Commercial Vessel Density October 2009-2010 AIS National
Published / External
Completed
Vessel Traffic for the year 2010 for the Continental US waters. | Description Source: NOAA Office for Coastal Management
Converted from FGDC using 'fgdc_to_inport_xml_entity.pl' script.
1
OBJECTID
Unknown
No
No
Active
Internal feature number. | Description Source: ESRI
Sequential unique whole numbers that are automatically generated.
2
SHAPE
Unknown
No
No
Active
Feature geometry. | Description Source: ESRI
Coordinates defining the features.
3
classCode
Unknown
No
No
Active
Code for the classification scheme used | Description Source: NOAA Office for Coastal Management
Unique Values
4
vesselCountRange
VARCHAR
No
No
Active
Classification range for the feature. The values represent vessel counts for the feature. | Description Source: NOAA Office for Coastal Management
1 - 25: For this feature 1 - 25 vessels were counted between October 2009 - 2010. | 26 - 50: For this feature 26 - 50 vessels were counted between October 2009 - 2010. | 51 - 75: For this feature 51 - 75 vessels were counted between October 2009 - 2010. | 76 - 100: For this feature 76 - 100 vessels were counted between October 2009 - 2010. | 101 - 250: For this feature 101 - 250 vessels were counted between October 2009 - 2010. | 251 - 500: For this feature 251 - 500 vessels were counted between October 2009 - 2010. | 501 - 750: For this feature 501 - 750 vessels were counted between October 2009 - 2010. | 751 - 1500: For this feature 751 - 1500 vessels were counted between October 2009 - 2010. | More than 1500: For this feature more than 1500 vessels were counted between October 2009 - 2010. |
5
SHAPE_Length
Unknown
No
No
Active
Length of feature in internal units. | Description Source: ESRI
Positive real numbers that are automatically generated.
6
SHAPE_Area
Unknown
No
No
Active
Area of feature in internal units squared. | Description Source: ESRI
Positive real numbers that are automatically generated.
Data Steward
2012-09
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2012-09
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2012-09
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2012-09
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-126.142653
-65.565865
49.228432
22.65559
Discrete
2010
Yes
Unclassified
None
These data are intended for coastal and ocean use planning. Not for navigation.
https://marinecadastre.gov/data/
MarineCadastre.gov Data Registry
https://marinecadastre.gov/downloads/data/ais/ais2009/CommercialVesselDensityOctober2009_2010National.zip
2016-07-13
Date that the source FGDC record was last modified.
2017-11-14
Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.
2018-02-08
Partial upload of Positional Accuracy fields only.
The attributes in this dataset are believed to be accurate.
Maximum scale of intended use is 1:80,000.
Spatial and attribute properties are believed to be complete, although attribute information has been simplified. Geometric thresholds from original data are preserved. No tests have been completed for exhaustiveness.
These data are believed to be logically consistent. Geometry is topologically clean.
AIS Vessel Count - 2010
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of Coast Survey (OCS)
2012-07-01
Range
2009-10
2010-10
2010 AIS Vessel Count data for UTM Zones 10N, 10S, 11, 14, 15, 16, 17, 18, and 19 which provided information regarding vessel counts derived from AIS data at 1 kilometer square grids. | Type of Source Media: electronic mail system
NATIONWIDE AUTOMATIC IDENTIFICATION SYSTEM
U.S. Department of Homeland Security, United States Coast Guard, Navigation Center
2010-01-01
Range
2009-10
2010-10
http://www.navcen.uscg.gov/?pageName=NAISmain
NATIONWIDE AUTOMATIC IDENTIFICATION SYSTEM | Type of Source Media: online
1
Source data derived from the raw AIS data processing is as follows:
The USCG maintains a network of AIS receivers that collects AIS messages from passing ships. These data are transmitted to USCG data center that compiles the data and provides data feeds to other government agencies. In accordance with the USCG COMDTINST 5230.80, the USCG provided OCS with a "Level A" data feed. Level A is unfiltered real-time data that is less than 96 hours from initial time of transmission. OCS has subscribed to this data since 2008. To limit data storage requirements the data feed was filtered by the USCG to only send one position message per ship per minute and all duplicate messages (i.e. ship broadcasts received by more than one NAIS station) were removed. This real time feed was archived at OCS. A specialized software NOAADATA.py (K. Schwehr. The noaadata-py Software Tool-set, v0.42, 2009. http://vislab-ccom.-unh.edu/schwehr/software/noaadata) is used to create daily files and and load the data into an Oracle Spatial database.
Despite receiving this filtered feed, a great deal of conditioning needs to take place to prepare this data to be analyzed. The AIS system was not intended or designed for subsequent analysis; however Calder and Schwehr ably proved, given the proper conditioning, AIS data can be used for traffic analysis. ( B. R. Calder., K. Schwehr. Traffic Analysis for the Calibration of Risk Assessment Methods. Proceedings: US Hydrographic Conference 2009, Norfolk, VA, 11-14 May 2009, http://www.thsoa.org/us09papers.htm) Based on their research, we filtered out AIS messages with non-unique user IDs and vessels with erroneous dimensions. We also separated messages by speed, separating those reporting a speed of less than 0.4 knots into a separate anchored table.
The accuracy and abundance of the AIS data support high resolution analysis specifically within port areas. This study however was interested in traffic patterns on a macro scale so patterns could be analyzed across the coastal waters of the Continental United States. To limit the processing time and the overall file size for each region a grid cell size of 1 kilometer was chosen.
For this dataset a transits is counted for every unique vessel intersecting a grid cell each day. Multiple trips into a grid cell on a given day by the same vessel are only counted as one transit. Instead of calculating transits based on the coordinates within the AIS message transit lines were created by connecting all the vessels reports each day. Traffic counts were then calculated by summing the number of lines within each cell. Although this dataset only contains the total traffic count "TRNSTS_TTL" the original dataset has transits by AIS vessel type and many other attributes as well. Processed from May - July 2012.
2012-07-01T00:00:00
NATIONWIDE AUTOMATIC IDENTIFICATION SYSTEM
2
Further data development processing followed to obtain this feature class:
Acquire original source data and maintain a copy on the D-tier (data01_d), \\csc-s-san1b\marinsp\MarineCadastre\original\2012\OCS AIS GRIDS. Created a geodatabase in a person workspace and imported the original shapefiles into this file geodatabase format. Added a field in each of the feature classes to base classification ranges on, deleted all values of 0 in each of the data sets. Using the field calculator populated the new classification field values based on selecting the values of 'TRNSTS_TTL' field - performed this on each UTM zone feature class. Then performed a dissolve on each of the individual UTM zones datasets based on the classification field. Created a new feature classes with NAD 83 projection, added a field for the classification code, and loaded the data from the classified dissolved dataset the new NAD 83 dataset. Validate the feature classes' geometry (Data Management > Features > Repair Geometry). Added field in each of the three new data sets called 'vesselCountRange', populated this new field using field calculator to display the actual range of values within that classification code. If necessary, open ArcMap and in a new MXD click File > Map Document Properties and check the box "Store relative path names to data sources". Click OK. Added in the Oceans Basemap in the working MXD to work up the color scheme for the data. Select the fields that will be visible (chose to hide Classification Code and show Vessel Count Range). Symbolize the layer by Classification Code field to represent the Vessel Count Ranges. Develop a layer file containing symbology from each feature class. Include Layer Name, Description, Credits, and Scale Ranges (if applicable) within the layer file and its source. Arrange quality process review by peers. Review quality process feedback, determine applicability, and make adjustments to data to meet process specifications. Place a copy of the feature class/es within SDE. Project the symbolized layer into Web Mercator and place within the viewer's MXD. Work with the MXD steward to determine where and how the layer fits within the MXD. Acquire, create and update metadata from providers (as needed). Annually evaluate source data to determine requirement for replacement.
2012-08-01T00:00:00
AIS Vessel Count - 2010
49116
Entity
Commercial Vessel Density October 2009-2010 AIS National
gov.noaa.nmfs.inport:48862
Anne Ball
2017-11-14T15:55:52
SysAdmin InPortAdmin
2023-05-30T18:09:33
2020-02-06
Office for Coastal Management
OCM
1002
Public
No
2020-02-06
1 Year
2021-02-06