This dataset contains records in Florida from the Federal Railroad Administration's (FRA) Amtrak Station database. The dataset is a geographic data set containing Amtrak intercity railroad passenger terminals in the United States and Canada. Attribute data include services and passenger amenities provided at the station. This dataset is an update to the layer amtrak_2015.
The dataset contains the location of Amtrak stations. This data is used for national and network analysis applications.
publication date
There are no access and use constraints. Acknowledgement of the Office of the Assistant Secretary for Research and Technology/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD) would be appreciated in products derived from these data.
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Assistant Secretary for Research and Technology/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD), and the Federal Railroad Administration (FRA)
GeoPlan relied on the integrity of the attribute information within the original data.
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology
This data is provided 'as is' by GeoPlan and is complete to our knowledge.
This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan
Spatial and Attribute Information
The GeoPlan Center took the following steps during the QA/QC process: - Downloaded the dataset from BTS on 7/5/2018 using this link: https://osav-usdot.opendata.arcgis.com/ (original dataset in shapefile format and in the WGS 1984 geographic coordinate system). - Dataset projected into the FGDL Albers HPGN projection using WGS_1984_(ITRF00)_To_NAD_1983 + NAD_1983_To_HARN_Florida. - NOTE: after projecting, significant changes were found to locations of features. These changes typically ranged from 28 to 45 meters, however there were some cases when more dramatic location changes were seen. In the dramatic situations it seems that the shifts represented moving points from incorrect locations to the actual location of Amtrak stations. The greatest shift from prior data noted upon general inspection was 282 meters. - Only features in Florida were desired, so a Select By Attribute was run and features with the STATE field equal to FL were selected. These features were exported to a new layer. - DESCRIPT field added based on the CITY2 field. Any records with no data in the CITY2 field had their DESCRIPT field calculated as 'NO DESCRIPT AVAILABLE'. - FGDLAQDATE field added based on the date the dataset was downloaded from source. - The longest record for each field was found and field character lengths were shortened to the appropriate shortest length possible. - Uppercased fields and appropriate records in the dataset. - Layer name changed from Amtrak_Stations.shp to amtrak_2018.shp.
Dataset copied.
Internal feature number.
ESRI
Feature geometry.
Esri
Unique Station Code
Amtrak
City and State of the station
FRA
City where station is located
Amtrak
State abbreviation where station is located
Amtrak
Federal Information Processing Standard (FIPS) State Code
NIST
GeoPlan added field based on CITY field
GeoPlan
GeoPlan added field based on the date acquired from the source
GeoPlan
Unique ID added by GeoPlan
GeoPlan
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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
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