UNITED STATES GEOLOGICAL SURVEY, Eastern Energy Resources Team unknown 20010000 SHAPE UNITED STATES GEOLOGICAL SURVEY, Eastern Energy Resources Team http://www.usgs.gov This dataset contains the locations of electric power plants in Florida. The fuel types include: anthracite, bituminous, subbituminous, lignite, blast furnace gas, coke oven gas, natural gas, refinery gas, fueloil, jet fuel, liquefied petroleum, kerosene, petroleum coke, refuse, wood, and nuclear. The USGS serves the Nation as an independent fact-finding agency that collects, monitors, analyzes, and provides scientific understanding about natural resource conditions, issues, and problems. The value of the USGS to the Nation rests on its ability to carry out studies on a national scale and to sustain long-term monitoring and assessment of natural resources. Because it has no regulatory or management mandate, the USGS provides impartial science that serves the needs of our changing world. The diversity of scientific expertise enables the USGS to carry out large-scale, multi-disciplinary investigations that build the base of knowledge about the Earth. In turn, decision makers at all levels of government--and citizens in all walks of life--have the information tools they need to address pressing societal issues. United States Geological Survey, Eastern Energy Resources Team via: Energy Information Administration, form EIA-767 (1994) and form EIA-767 (1997) unknown publication date Complete As needed -87.226790 -79.908398 30.699041 25.429520 None electric electric power plants None utilitiesCommunication ISO 19115 Topic Categories location utilitiesCommunication None Florida Electric power plant locations Southeast United States None 1990's None THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. 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 Florida Geographic Data Library (FGDL) mailing

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Gainesville Florida 32611-5706 FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html FGDL Mailing Lists: http://www.fgdl.org/fgdl-l.html Technical Support: http://www.fgdl.org/fgdlfeed.html For FGDL Software: http://www.fgdl.org/software.html Web site: http://www.fgdl.org Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 UNITED STATES GEOLOGICAL SURVEY, Eastern Energy Resources Team unknown Map GeoPlan relied on the integrity of the attribute information within the original data. Certain node/geometry and topology (GT)-polygon/chain relationships are collected or generated to satisfy topological requirements. Some of these requirements include: chains must begin and end at nodes, chains must connect to each other at nodes, chains do not extend through nodes, left and right GT-polygons are defined for each chain element and are consistent throughout the transfer, and the chains representing the limits of the file (neatline) are free of gaps. The neatline is generated by connecting the four corners of the digital file, as established during initialization of the digital file. All data outside the enclosed region are ignored and all data crossing these geographically straight lines are clipped at the neatline. (Exception: During the QA/QC process all data is examined and if errors are found and corrections are possible, then data is corrected accordingly. This process is documented in the Process_Step.) Data within a specified tolerance of the neatline are snapped to the neatline. Neatline straightening aligns the digitized edges of the digital data with the generated neatline, that is, with the longitude/latitude lines in geographic coordinates. All internal polygons are tested for closure. Certain attributes and/or entities, e.g. closure line, convey data quality information. When information to be encoded in the subfield is known to be not applicable (undefined, not relevant), then the subfield is valued by a string of "9s"; and when the information to be encoded is relevant but unknown (or missing), then the subfield is valued by a string of "9s." The completeness of the dataset is known to be suspect. Power plants generating less than 100 MW and power plants that do not provide power to the public are omitted from the EIA-767 dataset. Therefore there are several power plants that do not have location data. Certain node/geometry and topology (GT)-polygon/chain relationships are collected or generated to satisfy topological requirements. Some of these requirements include: chains must begin and end at nodes, chains must connect to each other at nodes, chains do not extend through nodes, left and right GT-polygons are defined for each chain element and are consistent throughout the transfer, and the chains representing the limits of the file (neatline) are free of gaps. The neatline is generated by connecting the four corners of the digital file, as established during initialization of the digital file. All data outside the enclosed region are ignored and all data crossing these geographically straight lines are clipped at the neatline. (Exception: During the QA/QC process all data is examined and if errors are found and corrections are possible, then data is corrected accordingly. This process is documented in the Process_Step.) Data within a specified tolerance of the neatline are snapped to the neatline. Neatline straightening aligns the digitized edges of the digital data with the generated neatline, that is, with the longitude/latitude lines in geographic coordinates. All internal polygons are tested for closure. Certain attributes and/or entities, e.g. closure line, convey data quality information. When information to be encoded in the subfield is known to be not applicable (undefined, not relevant), then the subfield is valued by a string of "9s"; and when the information to be encoded is relevant but unknown (or missing), then the subfield is valued by a string of "9s." Not all TRI sites reported in the conterminous U.S. are included. For example, sites with no assigned locational coordinates cannot be included. 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 UNITED STATES GEOLOGICAL SURVEY, Eastern Energy Resources Team unknown Map 100 None unknown ground condition USGS, EERT Spatial and Attribute Information The process step describes, in general, the process used in the production of data sets. The originating agencies created the original spatial coverage. GeoPlan, during the QA/QC process included the following aspects: (1) Tolerances were set to FGDL Standards (2) Precision was set to Double (3) Projected from GEOGRAPHIC to FGDL ALBERS (4) DESCRIPT item added based upon FUELTYPE item (5) NUCLEAR item added (designation of nuclear plants found in EIA-767 report) (6) Changed records to UPPERCASE (7) Edited items UTILITYNAM, PLANTNAME, FUEL_TYPE, and COUNTY to spell-out the full names/information for each. (8) Dropped items: FIPS:ST, FIPS:CO (<-see STATECTY), FIPS, and STATE. unknown Vector Entity point 36 NAD 1983 HARN Florida GDL Albers 24.0 31.5 -84.0 24.0 400000.0 0.0 coordinate pair 0.0001 0.0001 meter D North American 1983 HARN GRS 1980 6378137.0 298.257222101 DATABASE FILE Database File None PLANTID POWER PLANT ID as defined in EIA-767 database. Same Unknown OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. ANTS anthracite coal USGS record Unknown UTILITYNAM PLANTNAME SOURCE BFG blast furnace gas Same Unknown BITS bituminous coal (surface) Same Unknown BITSU bituminous coal (surface/underground) Same Unknown BITU bituminous coal (underground) Same Unknown BITUS bituminous coal (underground/surface) Same Unknown COG coke oven gas Same Unknown FO2 fuel oil Same Unknown FO6 fuel oil Same Unknown JF jet fuel Same Unknown KER kerosene Same Unknown LIGS lignite coal Same Unknown LPG liquefied petroleum gas Same Unknown NG natural gas Same Unknown PC petroleum coke Same Unknown REF refuse Same Unknown RG refinery gas Same Unknown SUBS subbituminous coal Same Unknown WD wood Same Unknown NUCLEAR nuclear Same Unknown FUELTYPE primary fuel used. Other fuels used are denoted by a value of "11" in the item field(s) for the specific fuel type(s). Same Unknown DESCRIPT BASED upon FUELTYPE. 11 indicates that the specified fuel type is used. -99 indicates that the specified fuel type is not used. 0 was not defined in the metadata, but may indicate that the specified fuel type is not used. Same Unknown STATECTY STATE AND COUNTY FEDERAL INFORMATION PROCESSING SYSTEM (FIPS) Same Unknown UTILITYID UTILITY ID as defined in EIA-767 database. Same Unknown COUNTY AUTOID SHAPE Feature geometry. ESRI Coordinates defining the features. Operator mailing

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