The parcels boundaries are not legal survey accurate and should be used for general representation only. They are maintained by the Jefferson County Property Administrator's Office. To get detailed parcel information, Contact the PVA. Use the LRSN field as the unique parcel identifier. The data is updated daily. View detailed metadata.

TRIMARC (Traffic Response and Incident Management Assisting the River City) camera locations in Louisville Metro Kentucky. This feature layer was created from a TRIMARC JSON files of camera locations. This item includes description, direction, and videos links and is used in the Louisville Metro Snow Map. The cameras are used to monitor the roadways and verify incidents to assist in freeway and incident management This feature is a static extract and will be reviewed before each snow season for updates. For more information on this feature layer and it's use please contact Louisville Metro GIS or LOJIC. To learn more about TRIMARC please visit the following website http://www.trimarc.org.

This layer contains polygon features for Jefferson County, WV, the 5 associated municipalities (Bolivar, Charles Town, Harpers Ferry, Ranson, and Shepherdstown), and all the surrounding counties & towns. See metadata for more information.This layer was generated by the Jefferson County GIS/Addressing Office. For questions, please contact 304-724-6759 or gis@jeffersoncountywv.org.All outside boundaries were generated from local sources and combined to the best of our abilities, however, these boundaries are NOT survey grade and should not be used as official lines. For official boundaries of non-Jefferson County areas, please contact their associated authorities.

Download UrbanTreeCanopy_2015.zip. The following information was produced from the 2015 Urban Tree Canopy Assessment for the City of Louisville, KY sponsored by the Office of Sustainability. It is based on 2012 LOJIC Base Map data. It includes shapefiles and raster feature classes in a file geodatabase. The study was performed by Davey Resource Group.

This layer reflects the major subdivisions for Jefferson County, WV. The boundaries are designed to reflect parcel boundaries, but are not survey grade and should be considered approximate. For questions about specific properties or subdivisions, please contact the Jefferson County Department of Planning and Zoning at planningdepartment@jeffersoncountywv.org.For general GIS questions, please contact the Jefferson County GIS/Addressing Office at 304-724-6759 or gis@jeffersoncountywv.org.

This layer contains the West Virginia State Senate Districts in Jefferson County, WV.All boundaries are generated in coordination with the Jefferson County Voter's Registration Office. Please contact the JCVRO for detailed questions concerning districts or representatives at 304-728-3246.For general GIS questions, please contact the Jefferson County GIS/Addressing Office at 304-724-6759 or gis@jeffersoncountywv.org.

Doctor Offices dataset current as of 2010. Designated inside Address Point layer.

Cook County GIS Dept map of Maine and Jefferson Township in a pdf format. Includes streets and municipalities.

description: These GIS files represent geographic boundaries for lands that are under the protection of NYS Agricultural District Law, administered by the New York State Department of Agriculture and Markets. The boundaries are derived from New York State Agricultural District, 1:24,000-scale, maps produced at county agencies. The district boundaries correspond to tax parcel data. District boundaries are joined into a file representing all of the Agricultural Districts within an entire county. Note that 2003 legislation allows lands to be added to districts on an annual basis. Electronic data provided here may predate those additions. Tax parcel detail and secondary rights-of-way are not included in this dataset. Rights-of-way for state and federal highways, railroads and utilities are only included when they are delineated on the original 1:24,000 scale maps. The data files are in ArcGIS shapefile format.; abstract: These GIS files represent geographic boundaries for lands that are under the protection of NYS Agricultural District Law, administered by the New York State Department of Agriculture and Markets. The boundaries are derived from New York State Agricultural District, 1:24,000-scale, maps produced at county agencies. The district boundaries correspond to tax parcel data. District boundaries are joined into a file representing all of the Agricultural Districts within an entire county. Note that 2003 legislation allows lands to be added to districts on an annual basis. Electronic data provided here may predate those additions. Tax parcel detail and secondary rights-of-way are not included in this dataset. Rights-of-way for state and federal highways, railroads and utilities are only included when they are delineated on the original 1:24,000 scale maps. The data files are in ArcGIS shapefile format.

This layer contains the polling places for Jefferson County, WV. All polling places are generated in coordination with the Jefferson County Voter's Registration Office. Please contact the JCVRO for detailed questions concerning polling locations at 304-728-3246.For general layer questions, please contact the Jefferson County GIS/Addressing Office at 304-724-6759 or gis@jeffersoncountywv.org.

Cook County GIS Dept map of Leyden, Norwood Park & Jefferson Townships in a pdf format. Includes streets and municipalities.

Midblock crossings offer pedestrians and bicyclists approved locations to legally cross a street other than a fully controlled intersection, such as an all-way stop or traffic signal. Mid-block crossings are typically installed in areas with high pedestrian activity and along pedestrian or bicyclist desire lines. The U.S. Department of Transportation’s Federal Highway Administration encourages mid-block crossings be equipped with adequate lighting, signs and markings, a Pedestrian Hybrid Beacon or Rectangular Rapid Flashing Beacon (RRFB), and curb extensions or a pedestrian refuge island, as appropriate.This list can be used by the public, researchers, and roadway owners, such as Louisville Metro Government or the state, to prioritize safety improvements at existing midblock crossing locations and help standardize criteria for considering requests for new crossings or evaluate existing locations.Contact Information: Claire Yates, Louisville Metro Public Works and Assets, Transportation Planner II, claire.yates@louisvilleky.gov, (502) 574-3197.

Cook County GIS Dept map of Jefferson, Norwood Park & West Townships in a pdf format. Includes streets and municipalities.

The Florida Department of Revenue’s Property Tax Oversight(PTO) program collects parcel level Geographic Information System (GIS) data files every April from all of Florida’s 67 county property appraisers’ offices. This GIS data was exported from these file submissions in August 2024. The GIS parcel polygon features have been joined with thereal property roll (Name – Address – Legal, or NAL)file. No line work was adjusted between county boundaries.The polygon data set represents the information property appraisers gathered from the legal description on deeds, lot layout of recorded plats, declaration of condominium documents, recorded and unrecorded surveys.Individual parcel data is updated continually by each county property appraiser as needed. The GIS linework and related attributions for the statewide parcel map are updated annually by the Department every August. The dataset extends countywide and is attribute by Federal Information Processing Standards (FIPS) code.DOR reference with FIPS county codes and attribution definitions - https://fgio.maps.arcgis.com/home/item.html?id=ff7b985e139c4c7ba844500053e8e185If you discover the inadvertent release of a confidential record exempt from disclosure pursuant to Chapter 119, Florida Statutes, public records laws, immediately notify the Department of Revenue at 850-717-6570 and your local Florida Property Appraisers’ Office.Please contact the county property appraiser with any parcel specific questions: Florida Property Appraisers’ Offices:Alachua County Property Appraiser – https://www.acpafl.org/Baker County Property Appraiser – https://www.bakerpa.com/Bay County Property Appraiser – https://baypa.net/Bradford County Property Appraiser – https://www.bradfordappraiser.com/Brevard County Property Appraiser – https://www.bcpao.us/Broward County Property Appraiser – https://bcpa.net/Calhoun County Property Appraiser – https://calhounpa.net/Charlotte County Property Appraiser – https://www.ccappraiser.com/Citrus County Property Appraiser – https://www.citruspa.org/Clay County Property Appraiser – https://ccpao.com/Collier County Property Appraiser – https://www.collierappraiser.com/Columbia County Property Appraiser – https://columbia.floridapa.com/DeSoto County Property Appraiser – https://www.desotopa.com/Dixie County Property Appraiser – https://www.qpublic.net/fl/dixie/Duval County Property Appraiser – https://www.coj.net/departments/property-appraiser.aspxEscambia County Property Appraiser – https://www.escpa.org/Flagler County Property Appraiser – https://flaglerpa.com/Franklin County Property Appraiser – https://franklincountypa.net/Gadsden County Property Appraiser – https://gadsdenpa.com/Gilchrist County Property Appraiser – https://www.qpublic.net/fl/gilchrist/Glades County Property Appraiser – https://qpublic.net/fl/glades/Gulf County Property Appraiser – https://gulfpa.com/Hamilton County Property Appraiser – https://hamiltonpa.com/Hardee County Property Appraiser – https://hardeepa.com/Hendry County Property Appraiser – https://hendryprop.com/Hernando County Property Appraiser – https://www.hernandopa-fl.us/PAWEBSITE/Default.aspxHighlands County Property Appraiser – https://www.hcpao.org/Hillsborough County Property Appraiser – https://www.hcpafl.org/Holmes County Property Appraiser – https://www.qpublic.net/fl/holmes/Indian River County Property Appraiser – https://www.ircpa.org/Jackson County Property Appraiser – https://www.qpublic.net/fl/jackson/Jefferson County Property Appraiser – https://jeffersonpa.net/Lafayette County Property Appraiser – https://www.lafayettepa.com/Lake County Property Appraiser – https://www.lakecopropappr.com/Lee County Property Appraiser – https://www.leepa.org/Leon County Property Appraiser – https://www.leonpa.gov/Levy County Property Appraiser – https://www.qpublic.net/fl/levy/Liberty County Property Appraiser – https://libertypa.org/Madison County Property Appraiser – https://madisonpa.com/Manatee County Property Appraiser – https://www.manateepao.gov/Marion County Property Appraiser – https://www.pa.marion.fl.us/Martin County Property Appraiser – https://www.pa.martin.fl.us/Miami-Dade County Property Appraiser – https://www.miamidade.gov/pa/Monroe County Property Appraiser – https://mcpafl.org/Nassau County Property Appraiser – https://www.nassauflpa.com/Okaloosa County Property Appraiser – https://okaloosapa.com/Okeechobee County Property Appraiser – https://www.okeechobeepa.com/Orange County Property Appraiser – https://ocpaweb.ocpafl.org/Osceola County Property Appraiser – https://www.property-appraiser.org/Palm Beach County Property Appraiser – https://www.pbcgov.org/papa/index.htmPasco County Property Appraiser – https://pascopa.com/Pinellas County Property Appraiser – https://www.pcpao.org/Polk County Property Appraiser – https://www.polkpa.org/Putnam County Property Appraiser – https://pa.putnam-fl.com/Santa Rosa County Property Appraiser – https://srcpa.gov/Sarasota County Property Appraiser – https://www.sc-pa.com/Seminole County Property Appraiser – https://www.scpafl.org/St. Johns County Property Appraiser – https://www.sjcpa.gov/St. Lucie County Property Appraiser – https://www.paslc.gov/Sumter County Property Appraiser – https://www.sumterpa.com/Suwannee County Property Appraiser – https://suwannee.floridapa.com/Taylor County Property Appraiser – https://qpublic.net/fl/taylor/Union County Property Appraiser – https://union.floridapa.com/Volusia County Property Appraiser – https://vcpa.vcgov.org/Wakulla County Property Appraiser – https://mywakullapa.com/Walton County Property Appraiser – https://waltonpa.com/Washington County Property Appraiser – https://www.qpublic.net/fl/washington/Florida Department of Revenue Property Tax Oversight https://floridarevenue.com/property/Pages/Home.aspx

This layer contains the magisterial (county commission) districts for Jefferson County, WV. All boundaries are generated in coordination with the Jefferson County Voter's Registration Office. Please contact the JCVRO for detailed questions concerning districts or representatives at 304-728-3246.This layer was generated by the Jefferson County GIS/Addressing Office. For GIS questions, please contact us at 304-724-6759 or gis@jeffersoncountywv.org.

Cook County GIS Dept map of Elk Grove and Jefferson Township in a pdf format. Includes streets and municipalities.

Cook County GIS Dept map of Niles, Evanston, Rogers Park & Jefferson Townships in a pdf format. Includes streets and municipalities.

Polygon grid of Jefferson County Urban Heat Management Study data

Click here to view the Metro Office of Sustainability web site about this study.

This data includes a land cover assessment for implementing the various scenarios that impact temperatures across Louisville. These include, by ½ kilometer grid cell, the percentage of deciduous forest, coniferous forest, mixed forest, grass, shrubbery, cropland, pastureland, barren land, impervious residential properties, impervious nonresidential properties, impervious streets, impervious surfaces at airports, other impervious surfaces, wooded wetland, wetland, and water. The data also show the mean average, minimum and maximum temperatures over the 2012 warm season (May – September), the number of deaths attributable to urban heat over the 2012 warm season, and the estimated avoided deaths that would be achieved by implementing the heat management scenarios. This data is available at the district level and not the entire county due to a lack of availabile health data due to small population within those cells.The distribution of grid cells is also included in the dataset, which covers Jefferson County, Kentucky. All data is presented in GIS format.Two sources of information were used to map land surface materials across Louisville. Parcel, roadway and other impervious surface information was provided by the Louisville/Jefferson County Information Consortium (LOJIC). Satellite-measured land use information was obtained from the US Geological Survey (USGS).

Attribute Definitions:
X: X coordinate of polygon vertex
Y: Y coordinate of polygon vertex
CELL_A: Grid cell area in square meters
KEYID: Unique identification code assigned to each grid cell
Heat_Death: Total number of heat related deaths over the 2012 warm season (May - September
WS_B_ApAvg: The mean average apparent temperature over 2012 warm season (May - September
WS_B_ApMin: The mean minimum apparent temperature over 2012 warm season (May - September
WS_B_ApMax: The mean maximum apparent temperature over 2012 warm season (May - September
Base_UHI: Number of heat related deaths attributable to the urban heat island over the 2012 warm season (May - September
CC_FST_DEC: Current Conditions Scenario percentage of deciduous forest in grid cell
CC_FST_CON: Current Conditions Scenario percentage of coniferous forest in grid cell
CC_FST_MIX: Current Conditions Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover
CC_GRASS: Current Conditions Scenario percentage of grass in grid cell
CC_SHRUB: Current Conditions Scenario percentage of shrub in grid cell
CC_PASTURE: Current Conditions Scenario percentage of pasture in grid cell
CC_CROP: Current Conditions Scenario percentage of crop in grid
CC_BARREN: Current Conditions Scenario percentage of barren in grid cell
CC_IPV_RS: Current Conditions Scenario percentage of impervious residential in grid cell
CC_IPV_NRS: Current Conditions Scenario percentage of impervious nonresidential in grid cell
CC_IPV_ST: Current Conditions Scenario percentage of impervious street in grid cell
CC_IPV_OTH: Current Conditions Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)
CC_IPV_AP: Current Conditions Scenario percentage of impervious airport in grid cell
CC_IPV_WLW: Current Conditions Scenario percentage of wooded wetland areas in grid cell
CC_IPV_WL: Current Conditions Scenario percentage of wetland in grid cell
CC_IPV_WTR: Current Conditions Scenario percentage of water in grid cell
CM_FST_DEC: Cool Materials Scenario percentage of deciduous forest in grid cell
CM_FST_CON: Cool Materials Scenario percentage of coniferous forest in grid cell
CM_FST_MIX: Cool Materials Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)
CM_GRASS: Cool Materials Scenario percentage of grass in grid cell
CM_SHRUB: Cool Materials Scenario percentage of shrub in grid cell
CM_PASTURE: Cool Materials Scenario percentage of shrub in grid cell
CM_CROP: Cool Materials Scenario percentage of crop in grid cell
CM_BARREN: Cool Materials Scenario percentage of barren in grid cell
CM_IPV_RS: Cool Materials Scenario percentage of impervious residential in grid cell
CM_IPV_NRS: Cool Materials Scenario percentage of impervious nonresidential in grid cell
CM_IPV_ST: Cool Materials Scenario percentage of impervious street in grid cell
CM_IPV_OTH: Cool Materials Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)
CM_IPV_AP: Cool Materials Scenario percentage of impervious airport in grid cell
CM_IPV_WLW: Cool Materials Scenario percentage of wooded wetland areas in grid cell
CM_IPV_WL: Cool Materials Scenario percentage of wetland in grid cell
CM_IPV_WTR: Cool Materials Scenario percentage of water in grid cell
CS_FST_DEC: Combined Strategies Scenario percentage of deciduous forest in grid cell
CS_FST_CON: Combined Strategies Scenario percentage of coniferous forest in grid cell
CS_FST_MIX: Combined Strategies Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)
CS_GRASS: Combined Strategies Scenario percentage of grass in grid cell
CS_SHRUB: Combined Strategies Scenario percentage of shrub in grid cell
CS_PASTURE: Combined Strategies Scenario percentage of pasture in grid cell
CS_CROP: Combined Strategies Scenario percentage of crop in grid cell
CS_BARREN: Combined Strategies Scenario percentage of barren in grid cell
CS_IPV_RS: Combined Strategies Scenario percentage of impervious residential in grid cell
CS_IPV_NRS: Combined Strategies Scenario percentage of impervious nonresidential in grid cell
CS_IPV_ST: Combined Strategies Scenario percentage of impervious street in grid cell
CS_IPV_OTH: Combined Strategies Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)
CS_IPV_AP: Combined Strategies Scenario percentage of impervious airport in grid cell
CS_IPV_WLW: Combined Strategies Scenario percentage of wooded wetland areas in grid cell
CS_IPV_WL: Combined Strategies Scenario percentage of wooded wetland areas in grid cell
CS_IPV_WTR: Combined Strategies Scenario percentage of water in grid cell
EE_FST_DEC: Energy Efficiency Scenario percentage of deciduous forest in grid cell
EE_FST_CON: Energy Efficiency Scenario percentage of coniferous forest in grid cell
EE_FST_MIX: Energy Efficiency Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)
EE_GRASS: Energy Efficiency Scenario percentage of grass in grid cell
EE_SHRUB: Energy Efficiency Scenario percentage of shrub in grid cell
EE_PASTURE: Energy Efficiency Scenario percentage of pasture in grid cell
EE_CROP: Energy Efficiency Scenario percentage of crop in grid cell
EE_BARREN: Energy Efficiency Scenario percentage of barren in grid cell
EE_IPV_RS: Energy Efficiency Scenario percentage of impervious residential in grid cell
EE_IPV_NRS: Energy Efficiency Scenario percentage of impervious nonresidential in grid cell
EE_IPV_ST: Energy Efficiency Scenario percentage of impervious street in grid cell
EE_IPV_OTH: Energy Efficiency Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)
EE_IPV_AP: Energy Efficiency Scenario percentage of impervious airport in grid cell
EE_IPV_WLW: Energy Efficiency Scenario percentage of wooded wetland areas in grid cell
EE_IPV_WL: Energy Efficiency Scenario percentage of wetland in grid cell
EE_IPV_WTR: Energy Efficiency Scenario percentage of water in grid cell
GN_FST_DEC: Greening Scenario percentage of deciduous forest in grid cell
GN_FST_CON: Greening Scenario percentage of coniferous forest in grid cell
GN_FST_MIX: Greening Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)
GN_GRASS: Greening Scenario percentage of grass in grid cell
GN_SHRUB: Greening Scenario percentage of shrub in grid cell
GN_PASTURE: Greening Scenario percentage of pasture in grid cell
GN_CROP: Greening Scenario percentage of crop in grid cell
GN_BARREN: Greening Scenario percentage of barren in grid cell
GN_IPV_RS: Greening Scenario percentage of impervious residential in grid cell
GN_IPV_NRS: Greening Scenario percentage of impervious nonresidential in grid cell
GN_IPV_ST: Greening Scenario percentage of impervious street in grid cell
GN_IPV_OTH: Greening Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)
GN_IPV_AP: Greening Scenario percentage of impervious airport in grid cell
GN_IPV_WLW: Greening Scenario percentage of wooded wetland areas in grid cell
GN_IPV_WL: Greening Scenario percentage of wetland in grid

Click here to view the Metro Office of Sustainability web site about this study and here to view the complete report.This data includes a land cover assessment for implementing the various scenarios that impact temperatures across Louisville. These include, by ½ kilometer grid cell, the percentage of deciduous forest, coniferous forest, mixed forest, grass, shrubbery, cropland, pastureland, barren land, impervious residential properties, impervious nonresidential properties, impervious streets, impervious surfaces at airports, other impervious surfaces, wooded wetland, wetland, and water. The data also show the mean average, minimum and maximum temperatures over the 2012 warm season (May – September), the number of deaths attributable to urban heat over the 2012 warm season, and the estimated avoided deaths that would be achieved by implementing the heat management scenarios. This data is available at the district level and not the entire county due to a lack of availabile health data due to small population within those cells.The distribution of grid cells is also included in the dataset, which covers Jefferson County, Kentucky. All data is presented in GIS format.Two sources of information were used to map land surface materials across Louisville. Parcel, roadway and other impervious surface information was provided by the Louisville/Jefferson County Information Consortium (LOJIC). Satellite-measured land use information was obtained from the US Geological Survey (USGS).Attribute Definitions:X: X coordinate of polygon vertexY: Y coordinate of polygon vertexCELL_A: Grid cell area in square metersKEYID: Unique identification code assigned to each grid cellHeat_Death: Total number of heat related deaths over the 2012 warm season (May - SeptemberWS_B_ApAvg: The mean average apparent temperature over 2012 warm season (May - SeptemberWS_B_ApMin: The mean minimum apparent temperature over 2012 warm season (May - SeptemberWS_B_ApMax: The mean maximum apparent temperature over 2012 warm season (May - SeptemberBase_UHI: Number of heat related deaths attributable to the urban heat island over the 2012 warm season (May - SeptemberCC_FST_DEC: Current Conditions Scenario percentage of deciduous forest in grid cellCC_FST_CON: Current Conditions Scenario percentage of coniferous forest in grid cellCC_FST_MIX: Current Conditions Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land coverCC_GRASS: Current Conditions Scenario percentage of grass in grid cellCC_SHRUB: Current Conditions Scenario percentage of shrub in grid cell CC_PASTURE: Current Conditions Scenario percentage of pasture in grid cellCC_CROP: Current Conditions Scenario percentage of crop in gridCC_BARREN: Current Conditions Scenario percentage of barren in grid cellCC_IPV_RS: Current Conditions Scenario percentage of impervious residential in grid cellCC_IPV_NRS: Current Conditions Scenario percentage of impervious nonresidential in grid cellCC_IPV_ST: Current Conditions Scenario percentage of impervious street in grid cellCC_IPV_OTH: Current Conditions Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)CC_IPV_AP: Current Conditions Scenario percentage of impervious airport in grid cellCC_IPV_WLW: Current Conditions Scenario percentage of wooded wetland areas in grid cellCC_IPV_WL: Current Conditions Scenario percentage of wetland in grid cellCC_IPV_WTR: Current Conditions Scenario percentage of water in grid cellCM_FST_DEC: Cool Materials Scenario percentage of deciduous forest in grid cellCM_FST_CON: Cool Materials Scenario percentage of coniferous forest in grid cellCM_FST_MIX: Cool Materials Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)CM_GRASS: Cool Materials Scenario percentage of grass in grid cellCM_SHRUB: Cool Materials Scenario percentage of shrub in grid cellCM_PASTURE: Cool Materials Scenario percentage of shrub in grid cellCM_CROP: Cool Materials Scenario percentage of crop in grid cellCM_BARREN: Cool Materials Scenario percentage of barren in grid cellCM_IPV_RS: Cool Materials Scenario percentage of impervious residential in grid cellCM_IPV_NRS: Cool Materials Scenario percentage of impervious nonresidential in grid cellCM_IPV_ST: Cool Materials Scenario percentage of impervious street in grid cellCM_IPV_OTH: Cool Materials Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)CM_IPV_AP: Cool Materials Scenario percentage of impervious airport in grid cellCM_IPV_WLW: Cool Materials Scenario percentage of wooded wetland areas in grid cellCM_IPV_WL: Cool Materials Scenario percentage of wetland in grid cellCM_IPV_WTR: Cool Materials Scenario percentage of water in grid cellCS_FST_DEC: Combined Strategies Scenario percentage of deciduous forest in grid cellCS_FST_CON: Combined Strategies Scenario percentage of coniferous forest in grid cellCS_FST_MIX: Combined Strategies Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)CS_GRASS: Combined Strategies Scenario percentage of grass in grid cellCS_SHRUB: Combined Strategies Scenario percentage of shrub in grid cellCS_PASTURE: Combined Strategies Scenario percentage of pasture in grid cellCS_CROP: Combined Strategies Scenario percentage of crop in grid cellCS_BARREN: Combined Strategies Scenario percentage of barren in grid cellCS_IPV_RS: Combined Strategies Scenario percentage of impervious residential in grid cellCS_IPV_NRS: Combined Strategies Scenario percentage of impervious nonresidential in grid cellCS_IPV_ST: Combined Strategies Scenario percentage of impervious street in grid cellCS_IPV_OTH: Combined Strategies Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)CS_IPV_AP: Combined Strategies Scenario percentage of impervious airport in grid cellCS_IPV_WLW: Combined Strategies Scenario percentage of wooded wetland areas in grid cellCS_IPV_WL: Combined Strategies Scenario percentage of wooded wetland areas in grid cellCS_IPV_WTR: Combined Strategies Scenario percentage of water in grid cellEE_FST_DEC: Energy Efficiency Scenario percentage of deciduous forest in grid cellEE_FST_CON: Energy Efficiency Scenario percentage of coniferous forest in grid cellEE_FST_MIX: Energy Efficiency Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)EE_GRASS: Energy Efficiency Scenario percentage of grass in grid cellEE_SHRUB: Energy Efficiency Scenario percentage of shrub in grid cellEE_PASTURE: Energy Efficiency Scenario percentage of pasture in grid cellEE_CROP: Energy Efficiency Scenario percentage of crop in grid cellEE_BARREN: Energy Efficiency Scenario percentage of barren in grid cellEE_IPV_RS: Energy Efficiency Scenario percentage of impervious residential in grid cellEE_IPV_NRS: Energy Efficiency Scenario percentage of impervious nonresidential in grid cellEE_IPV_ST: Energy Efficiency Scenario percentage of impervious street in grid cellEE_IPV_OTH: Energy Efficiency Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)EE_IPV_AP: Energy Efficiency Scenario percentage of impervious airport in grid cellEE_IPV_WLW: Energy Efficiency Scenario percentage of wooded wetland areas in grid cellEE_IPV_WL: Energy Efficiency Scenario percentage of wetland in grid cellEE_IPV_WTR: Energy Efficiency Scenario percentage of water in grid cellGN_FST_DEC: Greening Scenario percentage of deciduous forest in grid cellGN_FST_CON: Greening Scenario percentage of coniferous forest in grid cellGN_FST_MIX: Greening Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)GN_GRASS: Greening Scenario percentage of grass in grid cellGN_SHRUB: Greening Scenario percentage of shrub in grid cellGN_PASTURE: Greening Scenario percentage of pasture in grid cellGN_CROP: Greening Scenario percentage of crop in grid cellGN_BARREN: Greening Scenario percentage of barren in grid cellGN_IPV_RS: Greening Scenario percentage of impervious residential in grid cellGN_IPV_NRS: Greening Scenario percentage of impervious nonresidential in grid cellGN_IPV_ST: Greening Scenario percentage of impervious street in grid cellGN_IPV_OTH: Greening Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)GN_IPV_AP: Greening Scenario percentage of impervious airport in grid cellGN_IPV_WLW: Greening Scenario percentage of wooded wetland areas in grid cellGN_IPV_WL: Greening Scenario percentage of wetland in grid cellGN_IPV_WTR: Greening Scenario percentage of water in grid cellUse for the following 4 attributes:Recreate Charts from Louisville Urban Heath Management Study:No Benefit: Minimum value - 0.0008Low Benefit: 0.0008 - 0.0062High Benefit: 0.0062 - Maximum valueAv_Cool: Avoided heat deaths under the Cool Materials scenario during May to September 2012 by ½ km2 grid cell.Av_Green: Avoided heat deaths under the Greening scenario during May to September 2012 by ½ km2 grid cell.Av_Waste: Avoided deaths under the Energy Efficiency scenario during May to September 2012 by ½ km2 grid cell.Av_All: Avoided deaths under the Combined Strategies scenario during May to September 2012 by ½ km2 grid cell.

Loudoun County was founded in 1757. Loudoun's boundary with Maryland is the mean low water mark of the Potomac River on the Virginia side; it has not been surveyed. Loudoun's boundary with Prince William County is the Bull Run Creek. The border has not been modified for recent surveys. Individual plats along the Potomac and Bull Run Rivers have not resulted in a change in the border along those rivers- since measurements of the waters edge vary seasonally and the County Boundary needs to be seamless and constant. Many decades ago tax commissioners from surrounding jurisdictions assigned parcels to one jurisdiction or another rather than splitting parcels. Currently there is a mix of parcels split by a County Boundary, parcels taxed entirely in Loudoun, and portions of parcels within the County but taxed by another jurisdiction. The Office of the Commissioner of the Revenue dictates how these parcels are taxed, as do other jurisdictions. In 1957, the boundary with Fairfax County was re-established and finalized. The boundary with Fauquier County was surveyed and monumented in 1966. The boundary with Clarke County was surveyed in 1989, and the boundary survey with Jefferson County West Virginia was completed in 1998. The West Virginia, Fairfax, Fauquier, and Clarke boundary arcs were created by generating coverages from the monument coordinates using the generate command.