U.S. Army Corps of Engineers
20200116
U.S. Army Corp of Engineers Ports in Florida - 2020
vector digital data
Alexandria, VA
U.S. Army Corps of Engineers
State of Florida
https://data-usdot.opendata.arcgis.com/
Research and Innovative Technology Administration's Bureau of Transportation Statistics (RITA/BTS)
20150101
National Transportation Atlas Databases (NTAD) 2014
vector digital data
Washington, DC
Research and Innovative Technology Administration's Bureau of Transportation Statistics (RITA/BTS)
withheld
This dataset contains the US Army Corp of Engineers (USACE) port locations within the state of Florida. The data consists of location description, street address, city, county name, congressional district FIPS code, type of construction, cargo-handling equipment, water depth alongside the facility, facility type ( dock, fleeting area, lock and/or dam) berthing space, latitude, longitude, current operators and owner's information, list of commodities handled at facility, road/railway connections, equipment available at facility, storage facilities, cranes, transit sheds, grain elevators, marine repair plants, fleeting areas, and docking, and facility start/stop date. Collection of data is performed on a rotational basis to ensure on-site accuracy at each facility. This dataset is an update to the acport_2019 layer.
The Navigation Data Center had several objectives in developing the U.S. Waterway Data. These objectives support the concept of a National Spatial Data Provide public access to national waterway data. Foster interagency and intra-agency cooperation through data sharing. Provide a mechanism to integrate waterway data (U.S. Army Corps of Engineers Port/Facility and U.S. Coast Guard Accident Data, for example) Provide a basis for intermodal analysis. Assist standardization of waterway entity definitions (Ports/Facilities, Locks, etc.). Provide public access to the National Waterway Network, which can be used as a basemap to support graphical overlays and analysis with other spatial data (waterway and modal network/facility databases, for example). Provide reliable data to support future waterway and intermodal applications.
A description of the physical and Intermodal (infrastructure) characteristics of the ports in Florida.
20191230
ground condition
As needed
-87.341247
-79.781083
30.926454
24.500302
None
transportation
None
port
Point
NGDA
ISO 19115 Topic Category
transportation
GNIS
Florida
US Territories
United States
None
ground
None
2013
2012
2014
2007
2010
2009
2011
2008
None
None. Acknowledgment of the Research and Innovative Technology Administration's Bureau of Transportation Statistics National Transportation Atlas Database 2014 would be appreciated in products derived from these data.
U.S. Army Corps of Engineers
mailing and physical
7701 Telegraph Road, Casey Building
Alexandria
VA
22315-3868
US
703.428.9061
703.428.6047
The National Waterway Network was created on behalf of the Research and Innovative Technology Administration's Bureau of Transportation Statistics, the U.S. Army Corps of Engineers, the U.S. Bureau of Census, and the U.S. Coast Guard by Vanderbilt University and Oak Ridge National Laboratory. Additional agencies with input into network development include Volpe National Transportation Systems Center, Maritime Administration, Military Traffic Management Command, Tennessee Valley Authority, U.S. Environmental Protection Agency, and the Federal Railroad Administration.
none
Unclassified
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
Research and Innovative Technology Administration's Bureau of Transportation Statistics (RITA/BTS)
National Transportation Atlas Databases
vector digital data
Washington DC
Research and Innovative Technology Administration's Bureau of Transportation Statistics (RITA/BTS)
Navigation Data Center: http://www.navigationdatacenter.us
withheld
GeoPlan relied on the integrity of the attribute information within the original data.
RITA/BTS quality checks were to cross reference the place dataset with the state dataset, to determine that the spatial data and attribute data were accurate
This data is provided 'as is' by GeoPlan and is complete to our knowledge.
The accuracy of each point element is correlated to the data source used to derive that element. For example, links and nodes derived from 1:100,000 scale Digital Line Graphs are more accurate than links and nodes derived from 1:500,000 scale NOAA Navigational Charts. Elements with an "M" in the source field (indicating an unknown or missing source) are the least accurate.
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan
0
onLine
Spatial and Attribute Information
Extraction of the USACE identified port nodes from the National Waterway Network file.
withheld
20060101
GeoPlan obtained the data from the Bureau of Transportation Statistics from the BTS data website June 2021: https://data-usdot.opendata.arcgis.com/datasets/ports During the QA/QC process, GeoPlan performed the following tasks. - Projected to Albers Conical Equal Area (fgdl_square) using the WGS_1984_(ITRF00)_To_NAD_1983 + NAD_1983_To_HARN_Florida transformation. - Extracted features where "STATE_POST" = 'FL' to select features in Florida. - Selected points in Florida, which removed 12 points that fell outside the extent of Florida - Added DESCRIPT field and populated it based on NAV_UNIT_N - Added FGDLAQDATE field and populated it based on the date GeoPlan received the data - Added MGRS Fields - Removed secondary LAT & LONG fields as well as additional OBJECTID fields - Restructured table by reducing field lengths to better suit data. - Uppercased all records in the table - Renamed the dataset from ports.shp to acport_jan20
withheld
20210602
Vector
Simple
FALSE
1181
TRUE
FALSE
coordinate pair
0.0001
0.0001
meter
D North American 1983 HARN
GRS 1980
6378137.0
298.257222101
ETAT.ACPORT_2020
ACPORT_2020.DBF
USACE
Feature Class
1181
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
10
0
Shape
Feature geometry.
ESRI
Coordinates defining the features.
SHAPE
Geometry
4
0
0
ID
Unique Identifier
BTS
Numeric String
ID
Integer
4
10
0
NAV_UNIT_I
Alphanumeric unique identifier for a facility
USACE
NAV_UNIT_I
String
10
0
0
UNLOCODE
United Nations Location Code
USACE
UNLOCODE
String
10
0
0
NAV_UNIT_N
Name of facility
USACE
NAV_UNIT_N
String
100
0
0
LOCATION_D
Textual description of the location of the facility
USACE
LOCATION_D
String
190
0
0
FACILITY_T
Facility type i.e. ('Dock', 'Fleeting Area', 'Lock and/or Dam', 'Milepoint', etc.)
USACE
FACILITY_T
String
20
0
0
STREET_ADD
Address of facility
USACE
STREET_ADD
String
50
0
0
CITY_OR_TO
City or town where facility is located
USACE
CITY_OR_TO
String
30
0
0
STATE_POST
State where facility is located
USACE
STATE_POST
String
7
0
0
ZIPCODE
Postal zip code
USACE
ZIPCODE
String
15
0
0
COUNTY_NAM
County name
USACE
COUNTY_NAM
String
15
0
0
COUNTY_FIP
The 3-character FIPS code of the County or County equivalent
USACE
COUNTY_FIP
Integer
4
10
0
CONGRESS
Congress number (i.e. 108, 109, etc.)
USACE
CONGRESS
Integer
4
10
0
CONGRESS_F
Congressional District FIPS code
USACE
CONGRESS_F
Integer
4
10
0
WTWY_NAME
Name of waterway where facility is located
USACE
WTWY_NAME
String
115
0
0
PORT_NAME
Port in which the wharf is located
USACE
Character String
PORT_NAME
String
50
0
0
MILE
Waterway mile of wharf location above or below a datum point
USACE
Number
MILE
Integer
4
10
0
BANK
Bank of river for wharf location (Left or Right)
USACE
BANK
String
10
0
0
OPERATORS
Current operators of the facility with phone and fax numbers
USACE
OPERATORS
String
254
0
0
OWNERS
Current owner or owner/operators of the facility with phone and fax numbers
USACE
OWNERS
String
160
0
0
PURPOSE
Purpose for which wharf is used, including commodities handled and/or services performed
USACE
PURPOSE
String
254
0
0
HIGHWAY_NO
Surface road connections
USACE
HIGHWAY_NO
String
190
0
0
RAILWAY_NO
Railway connections
USACE
RAILWAY_NO
String
254
0
0
LOCATION
Waterborne Commerce Statistics Center's five digit location code
USACE
LOCATION
Integer
4
10
0
DOCK
Waterborne Commerce Statistics Center's three digit dock code
USACE
DOCK
Integer
4
10
0
COMMODITIE
List of commodities handled at the facility at the two digit Lock Performance Monitoring System level
USACE
COMMODITIE
String
254
0
0
CONSTRUCTI
Description of type of construction
USACE
CONSTRUCTI
String
254
0
0
MECHANICAL
Description of equipment available at the facility
USACE
MECHANICAL
String
254
0
0
REMARKS
Remarks, including description of wharf - related storage facilities and their operators
USACE
Character String
REMARKS
String
254
0
0
VERTICAL_D
Depth/Height Datum used
USACE
VERTICAL_D
String
30
0
0
DEPTH_MIN
Minimum depth alongside facility
USACE
DEPTH_MIN
Integer
4
10
0
DEPTH_MAX
Maximum depth alongside facility
USACE
DEPTH_MAX
Integer
4
10
0
BERTHING_L
Largest single berthing space in feet
USACE
BERTHING_L
Integer
4
10
0
BERTHING_T
Total berthing space in feet
USACE
BERTHING_T
Integer
4
10
0
DECK_HEIGH
Minimum deck height
USACE
DECK_HEIGH
Double
8
38
8
DECK_HEIG1
Maximum deck height
USACE
DECK_HEIG1
Double
8
38
8
SERVICE_IN
Date facility started service
USACE
SERVICE_IN
String
15
0
0
SERVICE_TE
Date facility stopped service
USACE
SERVICE_TE
String
15
0
0
LAT_DD
Latitude in decimal degrees.
GeoPlan
LAT_DD
Double
8
38
8
LONG_DD
Longitude in decimal degrees.
GeoPlan
LONG_DD
Double
8
38
8
MGRS
Military Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth
GeoPlan
MGRS
String
15
0
0
GOOGLEMAP
Webpage hyperlink to location in Google Maps
GeoPlan
GOOGLEMAP
String
100
0
0
DESCRIPT
GeoPlan added field based on NAV_UNIT_N
GeoPlan
DESCRIPT
String
100
0
0
FGDLAQDATE
The date GeoPlan acquired the data from the source.
GeoPlan
FGDLAQDATE
Date
8
0
0
AUTOID
AUTOID
Integer
4
10
0
Florida Geographic Data Library (FGDL)
mailing
431 Architecture PO Box 115706
Gainesville
Florida
32611-5706
US
Mailing list for FGDL: http://www.fgdl.org/fgdl-l.html
FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html
For FGDL Software: http://www.fgdl.org/software.html
Web site: http://www.fgdl.org
Technical Support: http://www.fgdl.org/fgdlfeed.html
DOWNLOADABLE DATA
The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html
ESRI Shapefile
2015
No compression applied. However, if using digital transfer online option, note access instructions.
dvd
650
megabytes
None
Call (202-366-DATA), or E-mail (answers@bts.gov) RITA/BTS to request the National Transportation Atlas Databases (NTAD) 2014 DVD. The NTAD DVD can be ordered from the online bookstore at www.bts.gov. Individual datasets from the NTAD can also be downloaded from the Office of Geospatial Information Systems website at http://www.bts.gov/programs/geographic_information_services/
20190626
This data is intended for use with a Geographic Information Systems or Remote Sensing software package.
20210729
Research and Innovative Technology Administration's Bureau of Transportation Statistics, U.S. Army Corps of Engineers
Office of Geospatial Information Systems
mailing and physical
1200 New Jersey Ave. S.E.
Washington
D.C.
20590
US
(202) 366-3282
(202) 366-3640
answers@bts.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
none
Unclassified
Office of Geospatial Information Systems
Research and Innovative Technology Administration's Bureau of Transportation Statistics, U.S. Army Corps of Engineers
(202) 366-3282
(202) 366-3640
1200 New Jersey Ave. S.E.
Washington
D.C.
20590
US
answers@bts.gov
20210729
ArcGIS Metadata
1.0
Florida Geographic Data Library (FGDL)
431 Architecture PO Box 115706
Gainesville
Florida
32611-5706
US
Technical Support: http://www.fgdl.org/fgdlfeed.html
Mailing list for FGDL: http://www.fgdl.org/fgdl-l.html
FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html
Web site: http://www.fgdl.org
For FGDL Software: http://www.fgdl.org/software.html
None
2019-06-26
Call (202-366-DATA), or E-mail (answers@bts.gov) RITA/BTS to request the National Transportation Atlas Databases (NTAD) 2014 DVD. The NTAD DVD can be ordered from the online bookstore at www.bts.gov. Individual datasets from the NTAD can also be downloaded from the Office of Geospatial Information Systems website at http://www.bts.gov/programs/geographic_information_services/
ESRI Shapefile
2015
No compression applied. However, if using digital transfer online option, note access instructions.
This data is intended for use with a Geographic Information Systems or Remote Sensing software package.
650
megabytes
DOWNLOADABLE DATA
https://data-usdot.opendata.arcgis.com/
Feature Class
U.S. Army Corp of Engineers Ports in Florida - 2020
2020-01-16
U.S. Army Corps of Engineers
Alexandria, VA
U.S. Army Corps of Engineers
vector digital data
State of Florida
National Transportation Atlas Databases (NTAD) 2014
This dataset contains the US Army Corp of Engineers (USACE) port locations within the state of Florida. The data consists of location description, street address, city, county name, congressional district FIPS code, type of construction, cargo-handling equipment, water depth alongside the facility, facility type ( dock, fleeting area, lock and/or dam) berthing space, latitude, longitude, current operators and owner's information, list of commodities handled at facility, road/railway connections, equipment available at facility, storage facilities, cranes, transit sheds, grain elevators, marine repair plants, fleeting areas, and docking, and facility start/stop date. Collection of data is performed on a rotational basis to ensure on-site accuracy at each facility. This dataset is an update to the acport_2019 layer.
The Navigation Data Center had several objectives in developing the U.S. Waterway Data. These objectives support the concept of a National Spatial Data Provide public access to national waterway data. Foster interagency and intra-agency cooperation through data sharing. Provide a mechanism to integrate waterway data (U.S. Army Corps of Engineers Port/Facility and U.S. Coast Guard Accident Data, for example) Provide a basis for intermodal analysis. Assist standardization of waterway entity definitions (Ports/Facilities, Locks, etc.). Provide public access to the National Waterway Network, which can be used as a basemap to support graphical overlays and analysis with other spatial data (waterway and modal network/facility databases, for example). Provide reliable data to support future waterway and intermodal applications.
The National Waterway Network was created on behalf of the Research and Innovative Technology Administration's Bureau of Transportation Statistics, the U.S. Army Corps of Engineers, the U.S. Bureau of Census, and the U.S. Coast Guard by Vanderbilt University and Oak Ridge National Laboratory. Additional agencies with input into network development include Volpe National Transportation Systems Center, Maritime Administration, Military Traffic Management Command, Tennessee Valley Authority, U.S. Environmental Protection Agency, and the Federal Railroad Administration.
U.S. Army Corps of Engineers
703.428.9061
703.428.6047
7701 Telegraph Road, Casey Building
Alexandria
VA
22315-3868
US
US Territories
Florida
United States
GNIS
ground
2009
2013
2010
2007
2012
2014
2011
2008
transportation
ISO 19115 Topic Category
transportation
port
Point
NGDA
2009
2013
US Territories
port
transportation
transportation
2010
2007
Point
2012
Florida
ground
2014
2011
United States
NGDA
2008
The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html
none
None. Acknowledgment of the Research and Innovative Technology Administration's Bureau of Transportation Statistics National Transportation Atlas Database 2014 would be appreciated in products derived from these data.
National Transportation Atlas Databases
Research and Innovative Technology Administration's Bureau of Transportation Statistics (RITA/BTS)
Research and Innovative Technology Administration's Bureau of Transportation Statistics (RITA/BTS)
Washington DC
vector digital data
Navigation Data Center: http://www.navigationdatacenter.us
withheld
National Transportation Atlas Databases (NTAD) 2014
2015-01-01
Research and Innovative Technology Administration's Bureau of Transportation Statistics (RITA/BTS)
Research and Innovative Technology Administration's Bureau of Transportation Statistics (RITA/BTS)
Washington, DC
vector digital data
withheld
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
-87.341247
-79.781083
24.500302
30.926454
ground condition
2019-12-30
A description of the physical and Intermodal (infrastructure) characteristics of the ports in Florida.
1
-87.341247
-79.781083
30.926454
24.500302
none
RITA/BTS quality checks were to cross reference the place dataset with the state dataset, to determine that the spatial data and attribute data were accurate
This data is provided 'as is' by GeoPlan and is complete to our knowledge.
GeoPlan relied on the integrity of the attribute information within the original data.
The accuracy of each point element is correlated to the data source used to derive that element. For example, links and nodes derived from 1:100,000 scale Digital Line Graphs are more accurate than links and nodes derived from 1:500,000 scale NOAA Navigational Charts. Elements with an "M" in the source field (indicating an unknown or missing source) are the least accurate.
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan
GeoPlan obtained the data from the Bureau of Transportation Statistics from the BTS data website June 2021: https://data-usdot.opendata.arcgis.com/datasets/ports During the QA/QC process, GeoPlan performed the following tasks. - Projected to Albers Conical Equal Area (fgdl_square) using the WGS_1984_(ITRF00)_To_NAD_1983 + NAD_1983_To_HARN_Florida transformation. - Extracted features where "STATE_POST" = 'FL' to select features in Florida. - Selected points in Florida, which removed 12 points that fell outside the extent of Florida - Added DESCRIPT field and populated it based on NAV_UNIT_N - Added FGDLAQDATE field and populated it based on the date GeoPlan received the data - Added MGRS Fields - Removed secondary LAT & LONG fields as well as additional OBJECTID fields - Restructured table by reducing field lengths to better suit data. - Uppercased all records in the table - Renamed the dataset from ports.shp to acport_jan20
2021-06-02
GeoPlan
Extraction of the USACE identified port nodes from the National Waterway Network file.
2006-01-01
PORT
Spatial and Attribute Information
0
1181
20210729
10144700
1.0
ACPORT_2020
002
80772.077900
803140.501700
61935.719200
768693.942600
1
Projected
GCS_North_American_1983_HARN
Linear Unit: Meter (1.000000)
NAD_1983_HARN_Florida_GDL_Albers
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20210729
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20210729
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dataset
EPSG
6.13(9.2.0)