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<metadata><idinfo><citation><citeinfo><origin>Federal Highway Administration (FHWA), U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD)</origin><pubdate>20210722</pubdate><title>Alternative Fuel Corridors in Florida - 2022</title><edition>2022</edition><geoform>vector digital data</geoform><serinfo><sername>U.S. Department of Transportation, Bureau of Transportation Statistics</sername></serinfo><pubinfo><pubplace>Washington, D.C.</pubplace><publish>U.S. Department of Transportation, Bureau of Transportation Statistics</publish></pubinfo><othercit>State of Florida</othercit></citeinfo></citation><descript><abstract>This dataset contains locations of alternative fuel corridors from the national highway system in Florida. The Alternative Fuel Corridors dataset was created the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics&#8217; (BTS') National Transportation Atlas Database (NTAD). The dataset is a highway layer of corridors, primarily from the NHS, that are designated as Corridor Ready or Corridor Pending for alternative fuel corridor signage. It includes designations of five types of alternative fuels, Electric Vehicle (EV), CNG, LNG, LPG or Propane, and Hydrogen. Corridor-ready segments currently contain a sufficient number of fueling facilities to allow for corridor travel with the designated alternative fuel, and to qualify for highway signage. Corridors that do not have sufficient alternative fuel facilities to support alternative fuel vehicle travel are designated as corridor-pending.</abstract><purpose>This dataset allows users to view a national network of alternative fueling and charging infrastructure along national highway system corridors in Florida.</purpose></descript><timeperd><timeinfo><sngdate><caldate>20220505</caldate></sngdate></timeinfo><current>publication date</current></timeperd><status><progress>Complete</progress><update>As needed</update></status><spdom><bounding><westbc>-87.416241</westbc><eastbc>-79.915589</eastbc><northbc>30.773434</northbc><southbc>25.442455</southbc></bounding></spdom><keywords><theme><themekt>None</themekt><themekey>transportation</themekey></theme><theme><themekt>ISO 19115 Topic Categories</themekt><themekey>transportation</themekey><themekey>society</themekey></theme><place><placekt>None</placekt><placekey>Florida</placekey></place><temporal><tempkt>None</tempkt><tempkey>2022</tempkey></temporal></keywords><accconst>None</accconst><useconst>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</useconst><ptcontac><cntinfo><cntorgp><cntorg>Bureau of Transportation Statistics, Department of Energy</cntorg><cntper>Ed Strocko</cntper></cntorgp><cntpos>Director of Spatial Analysis and Visualization</cntpos><cntaddr><addrtype>mailing and physical</addrtype><address>1200 New Jersey Avenue, SE</address><city>Washington</city><state>DC</state><postal>20590</postal><country>US</country></cntaddr><cntvoice>800-853-1351</cntvoice><cntemail>Ed.Strocko@dot.gov</cntemail><hours>8:30am - 5:00pm ET, Monday - Friday</hours></cntinfo></ptcontac><datacred>Federal Highway Administration (FHWA); U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD)</datacred><native> Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362</native><crossref><citeinfo><othercit>Alternative Fules Data Center: https://afdc.energy.gov/stations/#/find/nearest</othercit></citeinfo></crossref></idinfo><dataqual><attracc><attraccr>GeoPlan relied on the integrity of the attribute information within the original data.</attraccr></attracc><logic>This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.</logic><complete>This data is provided 'as is' by GeoPlan and is complete to our knowledge.</complete><posacc><horizpa><horizpar>This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.</horizpar></horizpa><vertacc><vertaccr>This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.</vertaccr></vertacc></posacc><lineage><srcinfo><typesrc>onLine</typesrc><srccontr>Spatial and Attribute Information</srccontr></srcinfo><procstep><procdesc>GeoPlan downloaded the Alternative Fuel Corridors dataset on 7/6/2022 from USDOT/BTS: 
https://data-usdot.opendata.arcgis.com/datasets/usdot::alternative-fuel-corridors/about

Original Format: Shapefile (Alternative_Fuel_Corridors.shp)
Original Projection: Projection: WGS 1984 Web Mercator (auxiliary sphere)
Data Updated: May 5, 2022
Published Date: July 22, 2021

The original dataset contained 2018 records representing the entire US. 
GeoPlan exported a selection based on State of Florida corridors only (STATE = 'FL'), resulting in an output of 84 records. 
The output was reprojected to NAD 1983 HARN Florida GDL Albers (Meters). 

Next, geoplan added DESCRIPT and FGDLAQDATE fields and upcased all text field attributes. 

Field aliases were added based on data provided by the Argonne National Laboratory for the Electric Vehicle Charging Justice40 Map: 
https://anl.maps.arcgis.com/apps/webappviewer/index.html?id=33f3e1fc30bf476099923224a1c1b3ee

The final output was created in Esri file geodatabase format and named altfuels_corridors_2022. 

</procdesc><procdate>20220707</procdate><proccont><cntinfo><cntorgp><cntorg>UF GeoPlan Center</cntorg></cntorgp></cntinfo></proccont></procstep></lineage></dataqual><spdoinfo><direct>Vector</direct><ptvctinf><sdtsterm><sdtstype>String</sdtstype><ptvctcnt>84</ptvctcnt></sdtsterm></ptvctinf></spdoinfo><spref><horizsys><planar><mapproj><mapprojn>NAD 1983 HARN Florida GDL Albers</mapprojn><albers><stdparll>24.0</stdparll><stdparll>31.5</stdparll><longcm>-84.0</longcm><latprjo>24.0</latprjo><feast>400000.0</feast><fnorth>0.0</fnorth></albers></mapproj><planci><plance>coordinate pair</plance><coordrep><absres>0.0001</absres><ordres>0.0001</ordres></coordrep><plandu>meter</plandu></planci></planar><geodetic><horizdn>D North American 1983 HARN</horizdn><ellips>GRS 1980</ellips><semiaxis>6378137.0</semiaxis><denflat>298.257222101</denflat></geodetic></horizsys></spref><eainfo><detailed><enttyp><enttypl>ALTFUELS_CORRIDORS_2022</enttypl><enttypd>ALTFUELS_CORRIDORS_2022.DBF</enttypd><enttypds>USDOT/BTS</enttypds></enttyp><attr><attrlabl>OBJECTID</attrlabl><attrdef>Internal feature number.</attrdef><attrdefs>Esri</attrdefs><attrdomv><udom>Sequential unique whole numbers that are automatically generated.</udom></attrdomv></attr><attr><attrlabl>Shape</attrlabl><attrdef>Feature geometry.</attrdef><attrdefs>Esri</attrdefs><attrdomv><udom>Coordinates defining the features.</udom></attrdomv></attr><attr><attrlabl>ID</attrlabl><attrdef>ID</attrdef><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>LENGTH</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>AFC_NUMBER</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>NUMBER_</attrlabl></attr><attr><attrlabl>ROADTYPE</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>PRIMARY_NA</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>ALT_NAME_1</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>ALT_NAME_2</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>LOCAL_NAME</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>STATE</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>CCSTYLE</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>ALTFUEL_RO</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>EV_ROUND</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>EV</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>ELECTRICVE</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>CNG_ROUND</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>CNG</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>COMNATURAL</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>LNG_ROUND</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>LNG</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>LIQNATURAL</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>LPG_ROUND</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>LPG</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>PROPANE</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>HY_ROUND</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>HY</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>HYDROGEN</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>MILEAGE</attrlabl><attrdefs>Argonne National Laboratory</attrdefs></attr><attr><attrlabl>DESCRIPT</attrlabl><attrdef>Field added by FGDL based on NAME.</attrdef><attrdefs>GeoPlan</attrdefs></attr><attr><attrlabl>FGDLAQDATE</attrlabl><attrdef>The date FGDL acquired the data from the Source.</attrdef><attrdefs>GeoPlan</attrdefs></attr><attr><attrlabl>AUTOID</attrlabl></attr><attr><attrlabl>SHAPE.LEN</attrlabl></attr></detailed></eainfo><distinfo><distrib><cntinfo><cntorgp><cntorg>Florida Geographic Data Library (FGDL)</cntorg></cntorgp><cntaddr><addrtype>mailing</addrtype><address>431 Architecture PO Box 115706</address><city>Gainesville</city><state>FL</state><postal>32611-5706</postal><country>US</country></cntaddr><cntvoice>None</cntvoice><cntemail>Web site: http://www.fgdl.org</cntemail></cntinfo></distrib><resdesc>DOWNLOADABLE DATA</resdesc><distliab>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</distliab><stdorder><digform><digtopt><onlinopt><computer><networka><networkr>https://www.fgdl.org/</networkr></networka></computer><accinstr>DOWNLOADABLE DATA</accinstr></onlinopt></digtopt></digform></stdorder></distinfo><metainfo><metd>20220708</metd><metc><cntinfo><cntorgp><cntorg>U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD)</cntorg></cntorgp><cntaddr><addrtype>mailing and physical</addrtype><address>1200 New Jersey Avenue, SE</address><city>Washington</city><state>D.C.</state><postal>20590</postal><country>US</country></cntaddr><cntvoice>800-853-1351</cntvoice><hours>8:30am - 5:00pm ET, Monday - Friday</hours></cntinfo></metc><metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn><metstdv>FGDC-STD-001-1998</metstdv><mettc>local time</mettc></metainfo><mdLang><languageCode value="eng" /></mdLang><mdChar><CharSetCd value="004" /></mdChar><mdHrLv><ScopeCd value="005" /></mdHrLv><mdContact><rpOrgName>U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD)</rpOrgName><rpCntInfo><cntPhone><voiceNum>800-853-1351</voiceNum></cntPhone><cntAddress addressType="both"><delPoint>1200 New Jersey Avenue, SE</delPoint><city>Washington</city><adminArea>D.C.</adminArea><postCode>20590</postCode><country>US</country></cntAddress><cntHours>8:30am - 5:00pm ET, Monday - Friday</cntHours></rpCntInfo><role><RoleCd value="007" /></role></mdContact><mdDateSt>20220708</mdDateSt><mdStanName>ArcGIS Metadata</mdStanName><mdStanVer>1.0</mdStanVer><distInfo><distributor><distorCont><rpOrgName>Florida Geographic Data Library (FGDL)</rpOrgName><rpCntInfo><cntPhone><voiceNum>None</voiceNum></cntPhone><cntAddress addressType="postal"><delPoint>431 Architecture PO Box 115706</delPoint><city>Gainesville</city><adminArea>FL</adminArea><postCode>32611-5706</postCode><country>US</country><eMailAdd>Web site: http://www.fgdl.org</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="005" /></role></distorCont><distorOrdPrc /><distorTran><onLineSrc><linkage>https://www.fgdl.org/</linkage><orDesc>DOWNLOADABLE DATA</orDesc></onLineSrc></distorTran><distorTran><onLineSrc><orDesc>DOWNLOADABLE DATA</orDesc></onLineSrc></distorTran></distributor></distInfo><dataIdInfo><idCitation><resTitle>Alternative Fuel Corridors in Florida - 2022</resTitle><date><pubDate>2021-07-22</pubDate></date><resEd>2022</resEd><citRespParty><rpOrgName>Federal Highway Administration (FHWA), U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD)</rpOrgName><role><RoleCd value="006" /></role></citRespParty><citRespParty><rpOrgName>U.S. Department of Transportation, Bureau of Transportation Statistics</rpOrgName><rpCntInfo><cntAddress><delPoint>Washington, D.C.</delPoint></cntAddress></rpCntInfo><role><RoleCd value="010" /></role></citRespParty><presForm><PresFormCd value="005" /></presForm><presForm><fgdcGeoform>vector digital data</fgdcGeoform></presForm><datasetSeries><seriesName>U.S. Department of Transportation, Bureau of Transportation Statistics</seriesName></datasetSeries><otherCitDet>State of Florida</otherCitDet></idCitation><idAbs>This dataset contains locations of alternative fuel corridors from the national highway system in Florida. The Alternative Fuel Corridors dataset was created the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics&#8217; (BTS') National Transportation Atlas Database (NTAD). The dataset is a highway layer of corridors, primarily from the NHS, that are designated as Corridor Ready or Corridor Pending for alternative fuel corridor signage. It includes designations of five types of alternative fuels, Electric Vehicle (EV), CNG, LNG, LPG or Propane, and Hydrogen. Corridor-ready segments currently contain a sufficient number of fueling facilities to allow for corridor travel with the designated alternative fuel, and to qualify for highway signage. Corridors that do not have sufficient alternative fuel facilities to support alternative fuel vehicle travel are designated as corridor-pending.</idAbs><idPurp>This dataset allows users to view a national network of alternative fueling and charging infrastructure along national highway system corridors in Florida.</idPurp><idCredit>Federal Highway Administration (FHWA); U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD)</idCredit><idStatus><ProgCd value="001" /></idStatus><idPoC><rpIndName>Ed Strocko</rpIndName><rpOrgName>Bureau of Transportation Statistics, Department of Energy</rpOrgName><rpPosName>Director of Spatial Analysis and Visualization</rpPosName><rpCntInfo><cntPhone><voiceNum>800-853-1351</voiceNum></cntPhone><cntAddress addressType="both"><delPoint>1200 New Jersey Avenue, SE</delPoint><city>Washington</city><adminArea>DC</adminArea><postCode>20590</postCode><country>US</country><eMailAdd>Ed.Strocko@dot.gov</eMailAdd></cntAddress><cntHours>8:30am - 5:00pm ET, Monday - Friday</cntHours></rpCntInfo><role><RoleCd value="007" /></role></idPoC><resMaint><maintFreq><MaintFreqCd value="009" /></maintFreq></resMaint><placeKeys><keyword>Florida</keyword></placeKeys><tempKeys><keyword>2022</keyword></tempKeys><themeKeys><keyword>transportation</keyword></themeKeys><themeKeys><keyword>society</keyword><keyword>transportation</keyword><thesaName><resTitle>ISO 19115 Topic Categories</resTitle></thesaName></themeKeys><searchKeys><keyword>2022</keyword><keyword>society</keyword><keyword>Florida</keyword><keyword>transportation</keyword><keyword>transportation</keyword></searchKeys><resConst><LegConsts><useLimit>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</useLimit></LegConsts></resConst><resConst><Consts><useLimit>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</useLimit></Consts></resConst><aggrInfo><aggrDSName><otherCitDet>Alternative Fules Data Center: https://afdc.energy.gov/stations/#/find/nearest</otherCitDet></aggrDSName><assocType><AscTypeCd value="001" /></assocType></aggrInfo><spatRpType><SpatRepTypCd value="001" /></spatRpType><dataLang><languageCode value="eng" /></dataLang><tpCat><TopicCatCd value="018" /></tpCat><tpCat><TopicCatCd value="016" /></tpCat><envirDesc>Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362</envirDesc><dataExt><geoEle><GeoBndBox><westBL>-87.416241</westBL><eastBL>-79.915589</eastBL><southBL>25.442455</southBL><northBL>30.773434</northBL></GeoBndBox></geoEle></dataExt><dataExt><exDesc>publication date</exDesc><tempEle><TempExtent><exTemp><TM_Instant><tmPosition>2022-05-05</tmPosition></TM_Instant></exTemp></TempExtent></tempEle></dataExt></dataIdInfo><dqInfo><dqScope><scpLvl><ScopeCd value="005" /></scpLvl></dqScope><report type="DQTopConsis"><evalMethDesc>This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.</evalMethDesc></report><report type="DQConcConsis"><measDesc>This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.</measDesc></report><report type="DQCompOm"><measDesc>This data is provided 'as is' by GeoPlan and is complete to our knowledge.</measDesc></report><report type="DQQuanAttAcc"><measDesc>GeoPlan relied on the integrity of the attribute information within the original data.</measDesc></report><report dimension="horizontal" type="DQAbsExtPosAcc"><measDesc>This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.</measDesc></report><report dimension="vertical" type="DQAbsExtPosAcc"><measDesc>This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.</measDesc></report><dataLineage><prcStep><stepDesc>GeoPlan downloaded the Alternative Fuel Corridors dataset on 7/6/2022 from USDOT/BTS: https://data-usdot.opendata.arcgis.com/datasets/usdot::alternative-fuel-corridors/about Original Format: Shapefile (Alternative_Fuel_Corridors.shp) Original Projection: Projection: WGS 1984 Web Mercator (auxiliary sphere) Data Updated: May 5, 2022 Published Date: July 22, 2021 The original dataset contained 2018 records representing the entire US. GeoPlan exported a selection based on State of Florida corridors only (STATE = 'FL'), resulting in an output of 84 records. The output was reprojected to NAD 1983 HARN Florida GDL Albers (Meters). Next, geoplan added DESCRIPT and FGDLAQDATE fields and upcased all text field attributes. Field aliases were added based on data provided by the Argonne National Laboratory for the Electric Vehicle Charging Justice40 Map: https://anl.maps.arcgis.com/apps/webappviewer/index.html?id=33f3e1fc30bf476099923224a1c1b3ee The final output was created in Esri file geodatabase format and named altfuels_corridors_2022.</stepDesc><stepDateTm>2022-07-07</stepDateTm><stepProc><rpOrgName>UF GeoPlan Center</rpOrgName><role><RoleCd value="009" /></role></stepProc></prcStep><dataSource><srcDesc>Spatial and Attribute Information</srcDesc><srcMedName><MedNameCd value="015" /></srcMedName></dataSource></dataLineage></dqInfo><spatRepInfo><VectSpatRep><geometObjs><geoObjTyp><GeoObjTypCd value="002" /></geoObjTyp><geoObjCnt>84</geoObjCnt></geometObjs></VectSpatRep></spatRepInfo><Esri><CreaDate>20220710</CreaDate><CreaTime>15233300</CreaTime><ArcGISFormat>1.0</ArcGISFormat></Esri><Binary><Enclosure><Descript>original metadata</Descript><Data EsriPropertyType="Base64" OriginalFileName="source_metadata.xml" SourceMetadata="yes" SourceMetadataDigest="fe4c6d655406bb31d75c430378cf82ca" SourceMetadataSchema="fgdc">PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk
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