{"@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": ["010:86", "010:04"], "contactPoint": {"@type": "vcard:Contact", "fn": "LOJICData", "hasEmail": "mailto:opendata@louisvilleky.gov"}, "culture": "en-us", "description": "Click <a href='https://louisvilleky.gov/government/sustainability/urban-heat-island-project' target='_blank'>here</a> to view the Metro Office of Sustainability web site about this study and <a href='https://louisvilleky.gov/sites/default/files/sustainability/pdf_files/louisville_heat_mgt_report_final_web.pdf' target='_blank'>here</a> to view the complete report.<br /><br />This data includes a land cover assessment for implementing the various scenarios that impact temperatures across Louisville. These include, by \u00bd 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 \u2013 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).<br /><div><br /><div><b>Attribute Definitions:</b><br /><div><p style='margin-bottom:0in;margin-bottom:.0001pt;line-height:\nnormal'></p><ul><li>X: X coordinate of polygon vertex<br /></li><li>Y: Y coordinate of polygon vertex<br /></li><li>CELL_A: Grid cell area in square meters<br /></li><li>KEYID: Unique identification code assigned to each grid cell<br /></li><li>Heat_Death: Total number of heat related deaths over the 2012 warm\nseason (May - September<br /></li><li>WS_B_ApAvg: The mean average apparent temperature over 2012 warm season\n(May - September<br /></li><li>WS_B_ApMin: The mean minimum apparent temperature over 2012 warm season\n(May - September<br /></li><li>WS_B_ApMax: The mean maximum apparent temperature over 2012 warm season\n(May - September<br /></li><li>Base_UHI: Number of heat related deaths attributable to the urban heat island\nover the 2012 warm season (May - September<br /></li><li>CC_FST_DEC: Current Conditions Scenario percentage of deciduous forest\nin grid cell<br /></li><li>CC_FST_CON: Current Conditions Scenario percentage of coniferous forest\nin grid cell<br /></li><li>CC_FST_MIX: Current Conditions Scenario percentage of mixed forest in\ngrid cell (this is not the sum of \u2018Forest_Dec\u2019 and \u2018Forest_Con\u2019 fields, but its\nown unique land cover<br /></li><li>CC_GRASS: Current Conditions Scenario percentage of grass in grid cell<br /></li><li>CC_SHRUB: Current Conditions Scenario percentage of shrub in grid cell\u00a0 \u00a0 \u00a0<br /></li><li>CC_PASTURE: Current Conditions Scenario percentage of pasture in grid\ncell<br /></li><li>CC_CROP: Current Conditions Scenario percentage of crop in grid<br /></li><li>CC_BARREN: Current Conditions Scenario percentage of barren in grid\ncell<br /></li><li>CC_IPV_RS: Current Conditions Scenario percentage of impervious\nresidential in grid cell<br /></li><li>CC_IPV_NRS: Current Conditions Scenario percentage of impervious\nnonresidential in grid cell<br /></li><li>CC_IPV_ST: Current Conditions Scenario percentage of impervious street\nin grid cell<br /></li><li>CC_IPV_OTH: Current Conditions Scenario percentage of impervious other\nin grid cell (all remaining impervious cover not included in \u2018IPV_RS\u2019,\n\u2018IPV_NRS\u2019, \u2018IPV_ST\u2019, and \u2018IPV_AP\u2019)<br /></li><li>CC_IPV_AP: Current Conditions Scenario percentage of impervious airport\nin grid cell<br /></li><li>CC_IPV_WLW: Current Conditions Scenario percentage of wooded wetland\nareas in grid cell<br /></li><li>CC_IPV_WL: Current Conditions Scenario percentage of wetland in grid\ncell<br /></li><li>CC_IPV_WTR: Current Conditions Scenario percentage of water in grid\ncell<br /></li><li>CM_FST_DEC: Cool Materials Scenario percentage of deciduous forest in\ngrid cell<br /></li><li>CM_FST_CON: Cool Materials Scenario percentage of coniferous forest in\ngrid cell<br /></li><li>CM_FST_MIX: Cool Materials Scenario percentage of mixed forest in grid\ncell (this is not the sum of \u2018Forest_Dec\u2019 and \u2018Forest_Con\u2019 fields, but its own\nunique land cover)<br /></li><li>CM_GRASS: Cool Materials Scenario percentage of grass in grid cell<br /></li><li>CM_SHRUB: Cool Materials Scenario percentage of shrub in grid cell<br /></li><li>CM_PASTURE: Cool Materials Scenario percentage of shrub in grid cell<br /></li><li>CM_CROP: Cool Materials Scenario percentage of crop in grid cell<br /></li><li>CM_BARREN: Cool Materials Scenario percentage of barren in grid cell<br /></li><li>CM_IPV_RS: Cool Materials Scenario percentage of impervious residential\nin grid cell<br /></li><li>CM_IPV_NRS: Cool Materials Scenario percentage of impervious\nnonresidential in grid cell<br /></li><li>CM_IPV_ST: Cool Materials Scenario percentage of impervious street in\ngrid cell<br /></li><li>CM_IPV_OTH: Cool Materials Scenario percentage of impervious other in\ngrid cell (all remaining impervious cover not included in \u2018IPV_RS\u2019, \u2018IPV_NRS\u2019,\n\u2018IPV_ST\u2019, and \u2018IPV_AP\u2019)<br /></li><li>CM_IPV_AP: Cool Materials Scenario percentage of impervious airport in\ngrid cell<br /></li><li>CM_IPV_WLW: Cool Materials Scenario percentage of wooded wetland areas\nin grid cell<br /></li><li>CM_IPV_WL: Cool Materials Scenario percentage of wetland in grid cell<br /></li><li>CM_IPV_WTR: Cool Materials Scenario percentage of water in grid cell<br /></li><li>CS_FST_DEC: Combined Strategies Scenario percentage of deciduous forest\nin grid cell<br /></li><li>CS_FST_CON: Combined Strategies Scenario percentage of coniferous\nforest in grid cell<br /></li><li>CS_FST_MIX: Combined Strategies Scenario percentage of mixed forest in\ngrid cell (this is not the sum of \u2018Forest_Dec\u2019 and \u2018Forest_Con\u2019 fields, but its\nown unique land cover)<br /></li><li>CS_GRASS: Combined Strategies Scenario percentage of grass in grid cell<br /></li><li>CS_SHRUB: Combined Strategies Scenario percentage of shrub in grid cell<br /></li><li>CS_PASTURE: Combined Strategies Scenario percentage of pasture in grid\ncell<br /></li><li>CS_CROP: Combined Strategies Scenario percentage of crop in grid cell<br /></li><li>CS_BARREN: Combined Strategies Scenario percentage of barren in grid\ncell<br /></li><li>CS_IPV_RS: Combined Strategies Scenario percentage of impervious\nresidential in grid cell<br /></li><li>CS_IPV_NRS: Combined Strategies Scenario percentage of impervious\nnonresidential in grid cell<br /></li><li>CS_IPV_ST: Combined Strategies Scenario percentage of impervious street\nin grid cell<br /></li><li>CS_IPV_OTH: Combined Strategies Scenario percentage of impervious other\nin grid cell (all remaining impervious cover not included in \u2018IPV_RS\u2019,\n\u2018IPV_NRS\u2019, \u2018IPV_ST\u2019, and \u2018IPV_AP\u2019)<br /></li><li>CS_IPV_AP: Combined Strategies Scenario percentage of impervious\nairport in grid cell<br /></li><li>CS_IPV_WLW: Combined Strategies Scenario percentage of wooded wetland\nareas in grid cell<br /></li><li>CS_IPV_WL: Combined Strategies Scenario percentage of wooded wetland\nareas in grid cell<br /></li><li>CS_IPV_WTR: Combined Strategies Scenario percentage of water in grid\ncell<br /></li><li>EE_FST_DEC: Energy Efficiency Scenario percentage of deciduous forest\nin grid cell<br /></li><li>EE_FST_CON: Energy Efficiency Scenario percentage of coniferous forest\nin grid cell<br /></li><li>EE_FST_MIX: Energy Efficiency Scenario percentage of mixed forest in\ngrid cell (this is not the sum of \u2018Forest_Dec\u2019 and \u2018Forest_Con\u2019 fields, but its\nown unique land cover)<br /></li><li>EE_GRASS: Energy Efficiency Scenario percentage of grass in grid cell<br /></li><li>EE_SHRUB: Energy Efficiency Scenario percentage of shrub in grid cell<br /></li><li>EE_PASTURE: Energy Efficiency Scenario percentage of pasture in grid\ncell<br /></li><li>EE_CROP: Energy Efficiency Scenario percentage of crop in grid cell<br /></li><li>EE_BARREN: Energy Efficiency Scenario percentage of barren in grid cell<br /></li><li>EE_IPV_RS: Energy Efficiency Scenario percentage of impervious\nresidential in grid cell<br /></li><li>EE_IPV_NRS: Energy Efficiency Scenario percentage of impervious\nnonresidential in grid cell<br /></li><li>EE_IPV_ST: Energy Efficiency Scenario percentage of impervious street\nin grid cell<br /></li><li>EE_IPV_OTH: Energy Efficiency Scenario percentage of impervious other\nin grid cell (all remaining impervious cover not included in \u2018IPV_RS\u2019,\n\u2018IPV_NRS\u2019, \u2018IPV_ST\u2019, and \u2018IPV_AP\u2019)<br /></li><li>EE_IPV_AP: Energy Efficiency Scenario percentage of impervious airport\nin grid cell<br /></li><li>EE_IPV_WLW: Energy Efficiency Scenario percentage of wooded wetland\nareas in grid cell<br /></li><li>EE_IPV_WL: Energy Efficiency Scenario percentage of wetland in grid\ncell<br /></li><li>EE_IPV_WTR: Energy Efficiency Scenario percentage of water in grid cell<br /></li><li>GN_FST_DEC: Greening Scenario percentage of deciduous forest in grid\ncell<br /></li><li>GN_FST_CON: Greening Scenario percentage of coniferous forest in grid\ncell<br /></li><li>GN_FST_MIX: Greening Scenario percentage of mixed forest in grid cell\n(this is not the sum of \u2018Forest_Dec\u2019 and \u2018Forest_Con\u2019 fields, but its own\nunique land cover)<br /></li><li>GN_GRASS: Greening Scenario percentage of grass in grid cell<br /></li><li>GN_SHRUB: Greening Scenario percentage of shrub in grid cell<br /></li><li>GN_PASTURE: Greening Scenario percentage of pasture in grid cell<br /></li><li>GN_CROP: Greening Scenario percentage of crop in grid cell<br /></li><li>GN_BARREN: Greening Scenario percentage of barren in grid cell<br /></li><li>GN_IPV_RS: Greening Scenario percentage of impervious residential in\ngrid cell<br /></li><li>GN_IPV_NRS: Greening Scenario percentage of impervious nonresidential\nin grid cell<br /></li><li>GN_IPV_ST: Greening Scenario percentage of impervious street in grid\ncell<br /></li><li>GN_IPV_OTH: Greening Scenario percentage of impervious other in grid\ncell (all remaining impervious cover not included in \u2018IPV_RS\u2019, \u2018IPV_NRS\u2019,\n\u2018IPV_ST\u2019, and \u2018IPV_AP\u2019)<br /></li><li>GN_IPV_AP: Greening Scenario percentage of impervious airport in grid\ncell<br /></li><li>GN_IPV_WLW: Greening Scenario percentage of wooded wetland areas in\ngrid cell<br /></li><li>GN_IPV_WL: Greening Scenario percentage of wetland in grid cell<br /></li><li>GN_IPV_WTR: Greening Scenario percentage of water in grid cell<br /></li></ul><div><div><b>Use for the following 4 attributes:</b></div><div>Recreate Charts from Louisville Urban Heath Management Study:</div><div>No Benefit: Minimum value - 0.0008</div><div>Low Benefit: 0.0008 - 0.0062</div><div>High Benefit: 0.0062 - Maximum value</div></div><ul><li>Av_Cool: Avoided heat deaths under the Cool Materials scenario during\nMay to September 2012 by \u00bd km2 grid cell.<br /></li><li>Av_Green: Avoided heat deaths under the Greening scenario during May to\nSeptember 2012 by \u00bd km2 grid cell.<br /></li><li>Av_Waste: Avoided deaths under the Energy Efficiency scenario during\nMay to September 2012 by \u00bd km2 grid cell.<br /></li><li>Av_All: Avoided deaths under the Combined Strategies scenario during\nMay to September 2012 by \u00bd km2 grid cell.<br /></li></ul><p></p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n</div></div></div>", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://louisville-metro-opendata-lojic.hub.arcgis.com/datasets/LOJIC::jefferson-county-ky-urban-heat-management-study", "format": "Web Page", "mediaType": "text/html", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "accessURL": "https://gis.lojic.org/maps/rest/services/LojicSolutions/OpenDataEnvironment/MapServer/3", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "title": "ArcGIS GeoService"}, {"@type": "dcat:Distribution", "accessURL": "https://louisville-metro-opendata-lojic.hub.arcgis.com/api/download/v1/items/899c7ab6f86246a3b1fb48e6d495c2f9/csv?layers=3", "format": "CSV", "mediaType": "text/csv", "title": "CSV"}, {"@type": "dcat:Distribution", "accessURL": "https://louisville-metro-opendata-lojic.hub.arcgis.com/api/download/v1/items/899c7ab6f86246a3b1fb48e6d495c2f9/shapefile?layers=3", "format": "ZIP", "mediaType": "application/zip", "title": "Shapefile"}, {"@type": "dcat:Distribution", "accessURL": "https://louisville-metro-opendata-lojic.hub.arcgis.com/api/download/v1/items/899c7ab6f86246a3b1fb48e6d495c2f9/geojson?layers=3", "format": "GeoJSON", "mediaType": "application/vnd.geo+json", "title": "GeoJSON"}, {"@type": "dcat:Distribution", "accessURL": "https://louisville-metro-opendata-lojic.hub.arcgis.com/api/download/v1/items/899c7ab6f86246a3b1fb48e6d495c2f9/kml?layers=3", "format": "KML", "mediaType": "application/vnd.google-earth.kml+xml", "title": "KML"}], "identifier": "https://www.arcgis.com/home/item.html?id=899c7ab6f86246a3b1fb48e6d495c2f9&sublayer=3", "issued": "2018-01-10T15:29:20.000Z", "keyword": ["Environment", "MODP", "Open Data", "LOJIC", "Jefferson", "Kentucky", "Louisville", "Sustainability"], "landingPage": "https://louisville-metro-opendata-lojic.hub.arcgis.com/datasets/LOJIC::jefferson-county-ky-urban-heat-management-study", "license": "https://louisville-metro-opendata-lojic.hub.arcgis.com/pages/terms-of-use-and-license", "modified": "2022-05-31T13:40:23.000Z", "platform": "ArcGIS Hub", "programCode": ["015:001", "015:002"], "publisher": {"name": "Louisville Metro Government"}, "spatial": "-85.9571,37.9888,-85.3960,38.3890", "summary": "Polygon grid of Jefferson County Urban Heat Management Study data", "theme": ["geospatial"], "title": "Jefferson County KY Urban Heat Management Study"}