This feature class/shapefile represents electric power substations in the State of Florida. Substations are facilities and equipment that switch, transform, or regulate electric voltage. The Substations feature class/shapefile includes taps, a location where power on a transmission line is tapped by another transmission line.
This feature class/shapefile is for the Homeland Infrastructure Foundation Level Database (HIFLD) (https://gii.dhs.gov/HIFLD) as well as the Energy modelling and simulation community.
None.
publication date
None (Public Use). Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.
One Bethel Valley Rd, MS-6017
If you have any additional questions, comments, or concerns please contact the HIFLD Support Team at hifld@hq.dhs.gov or the NGA HSIP Team at hsip_team@nga.mil
Oak Ridge National Laboratory (ORNL) Geographic Information Science and Technology (GIST) Group, Los Alamos National Laboratory (LANL), Idaho National Laboratory (INL), National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team
GeoPlan relied on the integrity of the attribute information within the original data.
ORNL, LANL, INL, NGA, & HSIP No formal attribute accuracy test was conducted. Data from the authoritative sources (as identified in other sections of this metadata) is assumed to be correct and accurate. See also "Overview Description" in the "Entities and Attributes" metadata section.
Data were extracted from sources (identified in the SOURCE field) and other open source websites to populate the attribute fields; NOT AVAILABLE values (for string and date data types) and Null values (for numeric data types) denote missing data that was not present in the source data. During quality control, attributes were checked to ensure that they fell within the expected ranges or had expected/valid values. Text attribute values were checked for spelling and usage consistency. No topology tests were conducted. All records were verified to occur within the spatial domain of the feature class/shapefile.
Data is complete as of the most recent date indicated in the Time Period section and given available sources.
None; all efforts are made to place the geographic representation of the facility on- entity using the best available imagery from a wide variety of sources. Users should read and understand the METHOD metadata as well as the Processing Steps.
None; dataset contains no vertical data.
Spatial and Attribute Information
Authoritative data sources are identified through open source research. That data is then acquired and transformed into a usable data format. The properly formatted data then goes through preprocessing steps that includes a georeferencing or spatial adjustment operation to give spatial context to the data. In the absence of authoritative sources, feature geometry is created based on interpretation of the best available imagery. The data goes through further refinement using remote sensing techniques. After preprocessing, records go through a review process in an effort to meet the goal of placing each feature on a facility based on-entity location based on interpretation of the best available imagery and open source information. The DATE field indicates the date in which the review step took place.
The GeoPlan Center downloaded the electric power transmission lines data
from the following website on February 28th 2018.
Homeland Infrastructure Foundation-Level Data (HIFLD)
Open Data
https://hifld-geoplatform.opendata.arcgis.com/
*Previously known as https://hifld-dhs-gii.opendata.arcgis.com/
Electric_Substations.zip
Electric_Substations.shp
The data was originally in the following projection:
Name: GCS_WGS_1984
Details:
Angular Unit: Degree (0.017453292519943295)
Prime Meridian: Greenwich (0.000000000000000000)
Datum: D_WGS_1984
Spheroid: WGS_1984
Semimajor Axis: 6378137.000000000000000000
Semiminor Axis: 6356752.314245179300000000
Inverse Flattening: 298.257223563000030000
A subset of the dataset was created for Florida where the Southeast region was
selected near Florida. Next a selection set was created where the field STATE was
= 'GA' next features included in the selection set were removed if they fell within the
State of Florida via the CNTBND layer. The remaining selected GA features were
deleted. The same steps were performed for features marked as 'AL'
The dataset was reprojected to FGDL Albers Harn HPGN using the following transformation:
WGS_1984_(ITRF00)_To_NAD_1983 + NAD_1983_To_HARN_Florida
Deleted the OBJECTID field.
Added and Populated the DESCRIPT field as:
"ELECTRIC SUBSTATION: " & [NAME]
Added and Populated the FGDLAQDATE field.
Uppercased all fields except the SOURCE fields which contained website information.
Updated the metadata.
Dataset copied.
Internal feature number.
ESRI
Feature geometry.
ESRI
Unique ID for each feature.
ORNL, LANL, INL, NGA, & HSIP
Feature name. TAP = Location where power on a transmission line is tapped by another transmission line.
The responsible organization as identified in the SOURCE field.
City name.
The responsible organization as identified in the SOURCE field.
State abbreviation (United States and its Territories); Province abbreviation (Canada).
The responsible organization as identified in the SOURCE field.
Zip Code (5 digit); Postal Code (Canada; 6-digit).
The responsible organization as identified in the SOURCE field.
Country Code (3 character).
ORNL, LANL, INL, NGA, & HSIP
Number of transmission lines that are linked to the substation.
ORNL, LANL, INL, NGA, & HSIP
Maximum voltage of all Transmission Lines that feed into the substation.
ORNL, LANL, INL, NGA, & HSIP
Minimum voltage of all Transmission Lines that feed into the substation.
ORNL, LANL, INL, NGA, & HSIP
Indicates whether or not MAX_VOLT was inferred using one of the methods outlined in the Process Description.
ORNL, LANL, INL, NGA, & HSIP
Voltage was not inferred
ORNL, LANL, INL, NGA, & HSIP
Voltage was inferred
ORNL, LANL, INL, NGA, & HSIP
Indicates whether or not MIN_VOLT was inferred using one of the methods outlined in the Process Description.
ORNL, LANL, INL, NGA, & HSIP
Voltage was not inferred
ORNL, LANL, INL, NGA, & HSIP
Voltage was inferred.
ORNL, LANL, INL, NGA, & HSIP
The angular distance north or south from the equator on the earth s surface.
ORNL, LANL, INL, NGA, & HSIP
The angular distance east or west from the prime meridian on the earth s surface.
ORNL, LANL, INL, NGA, & HSIP
Methodology used to validate geospatial location and/or attribution for the feature.
ORNL, LANL, INL, NGA, & HSIP
Feature could not be located or the feature has not yet been validated.
ORNL, LANL, INL, NGA, & HSIP
The best available imagery used to determine the location.
ORNL, LANL, INL, NGA, & HSIP
Imagery and supplemental open source information used to determine the location.
ORNL, LANL, INL, NGA, & HSIP
Open source information used to determine the location.
ORNL, LANL, INL, NGA, & HSIP
Date when geospatial location and/or attribution were last validated for the feature.
ORNL, LANL, INL, NGA, & HSIP
Original source used to identify geospatial location and/or attribution for the feature. Frequently used sources include ESRI's World Imagery Service.
ORNL, LANL, INL, NGA, & HSIP
Description of substation based on "ELECTRIC SUBSTATION: " & [NAME].
GeoPlan
Date FGDL acquired the data from the Source.
GeoPlan
Unique ID added by GeoPlan
GeoPlan
The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set. Please see the "Processing Steps" section for further methodology. For string and date data types, NOT AVAILABLE values denote missing data that was not present in the source data. For numeric data types, -999999 denote missing data that was not present in the source data. However, the missing data may be present in other sources not yet discovered and used in the creation and/or maintenance of this dataset. These records may be populated with valid information in future update cycles.
Attribute fields were populated using sources identified in the SOURCE field for the period covered in the Time Period metadata and other open source data. For string and date data types, NOT AVAILABLE values denote missing data that was not present in the source data. For numeric data types, -999999 denote missing data that was not present in the source data. However, the missing data may be present in other sources not yet discovered and used in the creation and/or maintenance of this dataset. These records may be populated with valid information in future update cycles. Oak Ridge National Laboratory
431 Architecture PO Box 115706
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
One Bethel Valley Rd, MS-6017
If you have any additional questions, comments, or concerns please contact the HIFLD Support Team at hifld@hq.dhs.gov or the NGA HSIP Team at hsip_team@nga.mil