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DCW Railroads, Lines
- Identification Information
- Data Quality Information
- Spatial Data Organization Information
- Spatial Reference Information
- Entity and Attribute Information
- Distribution Information
- Metadata Reference Information
- Identification Information
- Citation
- Originator
- National Imagery and Mapping Agency (now National Geospatial-Intelligence Agency)
- Publication Date
- 19920701
- Title
- DCW Railroads, Lines
- Edition
- First
- Geospatial Data Presentation Form
- vector digital data
- Publication Information
- Publication Place
- Fairfax, VA
- Publisher
- National Imagery and Mapping Agency
- Online Linkage
- https://hgl.harvard.edu/catalog/harvard-dcw-rr-line
- Abstract
- This datalayer is a polyline coverage representing railroad features found throughout DCW (Digital Chart of the World) geographic coverage as of 1992. This layer was derived from the VMAP0 series produced by the National Geospatial-Intelligence Agency (NGA), formerly known as NIMA (National Imagery and Mapping Agency), an agency of the United States government. VMAP data set products use the "vector product format" (vpf). The term "VMap" is derived from "Vector Smart Map." Digital Chart of the World is a comprehensive 1:1,000,000 scale vector basemap of the world. It consists of cartographic, attribute, and textual data. The primary source for the database is the National Imagery and Mapping Agency's (NIMA) Operational Navigation Chart (ONC) series. This is the largest scale unclassified map series in existence that provides consistent, continuous global coverage of essential basemap features. The coverage is is organized into 10 thematic layers which feature a vast number of files organized into libraries. These libraries, or coverages, are geographicially bounded areas, rather than feature-linked coverages. DCW Layers in the Harvard Geospatial Library are feature-based as we have processed the multiple tiles from the VMAP0 libraries into a series of seamless coverages (e.g. aeronautical features appear in a single layer, "Aeronautical Facilities, Points") which depict a particular feature as it occurs throughout the available geographic coverage areas. Since different geographic areas were mapped by NIMA at different times using various types of feature capture and scanning and digitizing methods and software, multiple map sources of varying dates and multiple processing approaches are represented in each of these HGL layers. We have necessarily generalized the discussion of data source material and process steps in the Data Quality section of this metadata document.
- Purpose
- The Digital Chart of the World is a general purpose global database designed to support Geographic Information Systems applications. This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-economic and political anaylsis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning and related areas including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.
- Supplemental Information
- Entities (features) and Attributes for DCW are fully described in: Department of Defense, 1992, Military Specification Digital Chart of the World (MIL-D-89009): Philadelphia, Department of Defense, Defense Printing Service Detachment Office. The DCW used a product-specific attribute coding system that is composed of TYPE and STATUS designators for area, line, and point features; and LEVEL and SYMBOL designators for text features. The TYPE attribute specifies what the feature is, while the STATUS attribute specifies the current condition of the feature. Some features require both a TYPE and STATUS code to uniquely identify their characteristics. In order to uniquely identify each geographic attribute in the DCW, the TYPE and STATUS attribute code names are preceded by the two letter coverage abbreviation and a two letter abbreviation for the type of graphic primitive present. The DCW Type/Status codes were mapped into the Feature Attribute Coding Catalogue (FACC) coding scheme. A full description of FACC may be found in The DIgital Geographic Information Exchange STandard (DIGEST) Edition 1.2, January 1994. Please consult the DIGEST FACC website for complete coding data. (http://www.digest.org/html/DIGEST_2-1_Part4_AnnexB.pdf)
- Temporal Extent
- Currentness Reference
- publication date
- Time Instant
- 19920701
- Bounding Box
- West
- -165.258377
- East
- 179.609894
- North
- 78.167984
- South
- -53.138424
- ISO Topic Category
- transportation
- Theme Keyword
- Railroads
- Transportation
- Theme Keyword Thesaurus
- LCSH
- Place Keyword
- Northern Hemisphere
- Southern Hemisphere
- Eastern Hemisphere
- Western Hemisphere
- Africa
- Asia
- Australia
- Europe
- North America
- South America
- Polar regions
- Place Keyword Thesaurus
- LCSH
- Temporal Keyword
- Access Restrictions
- None
- Use Restrictions
- For educational, non-commercial use only. Although this data set has been developed by the NGA no warranty expressed or implied is made by them as to the accuracy of the data and related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the NGA in the use of this data, or related materials.
- Status
- Complete
- Maintenance and Update Frequency
- Biennial
- Point of Contact
- Contact Organization
- National Geospatial-Intelligence Agency
- Delivery Point
- Office of Corporate Relations
- Delivery Point
- Public Affairs Division, MS D-54
- Delivery Point
- 4600 Sangamore Road
- City
- Bethesda
- State
- MD
- Postal Code
- 20816-5003
- Country
- USA
- Contact Telephone
- 800-455-0899
- Hours of Service
- Monday through Friday 9:00 A.M. to 4:00 P.M. EST-USA
- Credit
- National Imagery and Mapping Agency (now known as National Geospatial-Intelligence Agency).
- Native Data Set Environment
- Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 4; ESRI ArcCatalog 9.0.0.535
- Data Quality Information
- Attribute Accuracy Report
- 100 percent of attribute codes were reviewed against the source manuscripts. No formal effort was undertaken to develop a quantitative attribute accuracy statement.
- Logical Consistency Report
- All data were found to be topologically correct. No duplicate features are present. All areas are completely described as depicted on the source manuscripts. No undershoots or overshoots are present. All data were consistently captured using the rules described in the narrative associated with the Data Quality Table and in the various feature table narrative files present at the coverage level within the library. The ONC lithographs were constructed in such a way that no other cartographic features within the urbanized area polygons are present. Features in any of the other thematic data layers end at the boundaries of the urbanized area polygons. As part of the development of the database, roads and railroads data were added within these urbanized area polygons. For approximately three hundred selected cities, major roads and railroad lines were compiled from other cartographic source materials, automated, and added to the database. For the remainder of the urbanized areas in the database, the road network and railroad network were separately extended from the outer boundaries to a single centralized point within each area. This "spokes of a wheel-like" treatment provides connectivity for the transportation networks through these urbanized areas; however, they do not depict the true shape or location of these features. Special automation techniques No railroad data were present within populated place polygon features on source manuscripts. Two types of features were added within city areas to support applications requiring network connectivity: (1) arbitrary connectors where lines terminating at the edge of city areas were artificially extended to approximate center point locations within the city boundaries, and (2) connectors compiled from larger scale sources that depicted actual conditions. Arbitrary or compiled connectors (from other sources) were either added to the source manuscripts or added digitally during the line feature editing process. Railroad lines were compiled from sources other than ONCs for only 362 cities worldwide; these include national capitals and other cities of regional importance. Railroad lines were automated through the optical scanning of source separates. In many instances, the railroad data occurred on the sources in conjunction with PPPOLY outlines, projection graticules, and miscellaneous point features. The railroad lines were isolated through a combination of raster editing preprocessing of the raw scanned data and symbol trapping in the vectorization process itself. Cross hatches on the original railroad lines were eliminated automatically in ARC/INFO processing. Railroad lines leading up to PPPOLY features were snapped to the railroad lines inside the polygon area boundaries. Railroad lines inside the PPPOLY features were automatically coded as connectors through overlays with the area features. Feature coincidence Railroad lines are split precisely at the positions at which they intersect populated place area feature boundaries, except for connecting railroad lines compiled from independent sources, which occasionally extend across city outline boundaries without being split. Database design issues Gaps in railroad lines that have been connected through text or other symbols are only coded as connectors if they were more than 0.1 inch long on the source separate, or if they fell within city outlines, in which case they were coded as connectors using the procedure outlined above in the special automation techniques section. Connectors compiled from independent sources were typically greater than the 0.1-inch minimum and are free from this circumstance. Railroad line features were captured through bridge and tunnel symbols (i.e., it is not necessary to request bridge and tunnel line features from the TSLINE coverage to complete the network). Dismantled railroad features were stored in the RDLINES (roads) coverage in accordance with DMA ONC specifications.
- Completeness Report
- 100 percent of features depicted on the ONC source materials have been captured. 100 percent of the features have valid attribute codes assigned to them. Airport features were derived from the DMA Digital Aeronautical Flight Information File (DAFIF). Where DAFIF was incomplete, locations were added from the ONC.
- Horizontal Positional Accuracy Report
- The Horizontal Positional Accuracy Value represents overall accuracy. Source chart-specific accuracies are available as area feature attributes in the VMap-0 data quality coverage. The primary accuracy analysis was performed on one chart only in the prototyping phase of the DCW project. Horizontal Positional Accuracy is expressed in meters. Detailed horizontal accuracy figures were developed by comparing the positions of well-defined points in the roads, railroads, utility lines, and drainage coverages against sources of higher accuracy, measuring the offsets, and expressing differences as a Circular Map Accuracy figure at a 90% confidence interval. This figure was independently verified by adding known production errors to source chart accuracies in a root sum square calculation.
- Quantitative Horizontal Positional Accuracy Assessment
- Lineage
- Source
- Originator
- National Imagery and Mapping Agency
- Publication Date
- 1974-1992
- Title
- Operational Navigational Chart (ONC)
- Geospatial Data Presentation Form
- map
- Publication Information
- Source Scale Denominator
- 1000000
- Type of Source Media
- stable-base material
- Source Temporal Extent
- Time Period Information
- Range of Dates/Times
- Beginning Date
- 1974
- Ending Date
- 1992
- Source Currentness Reference
- ground condition
- Contribution
- All information found on the source with the exception of aeronautical data. The U.S. Defense Mapping Agency Operational Navigation Chart (ONC) series and the Jet Navigation Charts (JNCs) for the region of Antarctica were the primary sources for the Digital Chart of the World database. The ONCs have a scale of 1:1,000,000, and they are the largest scale, unclassified map series produced by the DMA that provides consistent, continuous global coverage of essential basemap features. Some collateral sources have been used to enhance road and railroad connectivity through selected urbanized areas. The DMA's Digital Aeronautical Flight Information File (DAFIF) was the primary source for the airport data in the aeronautical layer. An Advanced Very High Resolution Radiometer (AVHRR) image for the coterminous United States is the source for the data in the Vegetation layer. The Defense Intelligence Agency Manual (DIAM) 65-18 is the source for the Geopolitical codes and the ocean boundaries information contained in the Political and Oceans layer. The product specifications for the ONCs and JNCs have been used extensively in the design of the database.
- Source
- Originator
- National Imagery and Mapping Agency
- Publication Date
- 199006
- Title
- Digital Aeronautical Flight Information File
- Publication Information
- Type of Source Media
- magnetic tape
- Source Temporal Extent
- Time Period Information
- Single Date/Time
- Calendar Date
- 1990
- Source Currentness Reference
- publication date
- Contribution
- Airport records (name, International Civil Aviation Organization, position, elevation, and type)
- Source
- Originator
- Defense Mapping Agency
- Publication Date
- 1990
- Title
- Jet Navigational Chart
- Geospatial Data Presentation Form
- map
- Publication Information
- Source Scale Denominator
- 2000000
- Type of Source Media
- stable-base material
- Source Temporal Extent
- Time Period Information
- Range of Dates/Times
- Beginning Date
- 1974
- Ending Date
- 1991
- Source Currentness Reference
- publication date
- Source
- Originator
- USGS EROS Data Center
- Title
- Advance Very High Resolution Radiometer
- Geospatial Data Presentation Form
- remote-sensing image
- Publication Information
- Source Scale Denominator
- 1000000
- Type of Source Media
- magnetic tape
- Source Temporal Extent
- Time Period Information
- Range of Dates/Times
- Beginning Date
- 199003
- Ending Date
- 199011
- Source Currentness Reference
- publication date
- Spatial Data Organization Information
- Direct Spatial Reference Method
- Vector
- Point and Vector Object Information
- SDTS Terms Description
- SDTS Point and Vector Object Type
- String
- Point and Vector Object Count
- 115160
- 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
- D_WGS_1984
- Ellipsoid Name
- WGS_1984
- Semi-major Axis
- 6378137.000000
- Denominator of Flattening Ratio
- 298.257224
- Vertical Coordinate System Definition
- Altitude System Definition
- Altitude Datum Name
- Mean Sea Level
- Altitude Resolution
- 1.000000
- Altitude Distance Units
- 1.0
- Altitude Encoding Method
- Explicit elevation coordinate included with horizontal coordinates
- Entity and Attribute Information
- Entity Type
- Entity Type Label
- DCW Railroads
- Entity Type Definition
- Lines represent railroad features
- Entity Type Definition Source
- HGL
- Attributes
- FNODE
- Internal node number for the beginning of an arc (from-node) (Whole numbers that are automatically generated.)
- Definition Source
- ESRI
- TNODE
- Internal node number for the end of an arc (to-node). (Whole numbers that are automatically generated.)
- Definition Source
- ESRI
- LPOLY
- Internal node number for the left polygon (Whole numbers that are automatically generated.)
- Definition Source
- ESRI
- RPOLY
- Internal node number for the right polygon (Whole numbers that are automatically generated.)
- Definition Source
- ESRI
- RR_
- Feature Identifier
- Definition Source
- ESRI
- RR_ID
- Feature Identifier
- Definition Source
- ESRI
- LFT_ID
- Feature Identifier
- Definition Source
- ESRI
- RRLNTYPE
- Railroad type
- 1
- Single track railroad. ONC railroads in these categories, include lines annotated or symbolized as electric, in-street; in juxtaposition, nonoperating, approximate alignment, existence doubtful, sidings and short spurs, overpass, and underpass
- 2
- Multiple track railroad. ONC railroads in these categories, include lines annotated or symbolized as electric, in-street; in juxtaposition, nonoperating, approximate alignment, existence doubtful, sidings and short spurs, overpass, and underpass.
- 3
- Light-duty railroad, including carlines, tramways, and other similar light-load-bearing railways
- 8
- Added railroad connector within urbanized area polygons
- Definition Source
- ESRI
- RRLNSTAT
- Railroad status
- 1
- Functioning. There was no special symbolization or marking on the source materials indicating functional lines. This code was added so that all arcs in the coverage would have an explicit code for this item.
- 2
- Nonoperating, abandoned, destroyed, or under construction
- 3
- Existence doubtful or "reported" to exist
- 4
- Compiled railroads (used for arcs added from other source materials in order to provide cartographically correct connectivity within the urbanized area polygons)
- 5
- Compiled from adjacent, more recent map sheet (used for arcs added for edgematch or connectivity in the ONC sheet overlap areas)
- 6
- Compiled, under construction (used for arcs added for edgematch or connectivity in the ONC sheet overlap areas)
- 9
- Schematic rail line (used for arcs added within the urbanized area polygons for network connectivity only)
- Definition Source
- ESRI
- TILE_ID
- VPF Format Tile Identifier Code
- Definition Source
- NIMA
- EDG_ID
- Primitive Record Identifier for the Feature
- Definition Source
- NIMA
- SHAPE
- Feature geometry. (Coordinates defining the features.)
- Definition Source
- ESRI
- SHAPE.LEN
- Feature length measured in map units
- Definition Source
- Computed
- SHAPE.FID
- Internal feature number. (Sequential unique whole numbers that are automatically generated.)
- Definition Source
- ESRI
- Distribution Information
- Format Name
- Shape
- Distributor
- Harvard Geospatial Library
- Name
- Metadata Reference Information
- Metadata Date
- 20041117
- Metadata Contact
- Contact Information
- Contact Organization Primary
- Contact Organization
- Harvard Geospatial Library
- Contact Person
- Geospatial Resources Cataloger
- Contact Address
- Address
- Harvard University Library
- Address
- Office For Information Systems
- Address
- 1280 Massachusetts Avenue
- City
- Cambridge
- State or Province
- MA
- Postal Code
- 02138
- Country
- USA
- Contact Voice Telephone
- 617-495-2417
- Contact Facsimile Telephone
- 617-496-0440
- Contact Electronic Mail Address
- hgl_ref@hulmail.harvard.edu
- Hours of Service
- Monday - Friday, 9:00 am - 4:00 pm EST-USA
- Metadata Standard Name
- FGDC Content Standards for Digital Geospatial Metadata
- Metadata Standard Version
- FGDC-STD-001-1998
- Metadata Extensions
- Online Linkage
- http://www.esri.com/metadata/esriprof80.html
- Profile Name
- ESRI Metadata Profile
