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Layer: Coastal Boundaries (0)

Sub Layers:
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• Coastal Construction Line (CCL)
• Coastal Building Zone (CBZ)
• Areas at Risk Due to SLR (SLIP)
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Layer: Tide Stations (NOAA) (1)

Name: Tide Stations (NOAA)

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Description: This layer includes NOAA CO-OPS tide stations in Florida with associated sea level rise (SLR) projections. This layer was created from a csv of SLR scenarios by tide station for the U.S. downloaded from: https://oceanservice.noaa.gov/hazards/sealevelrise/sealevelrise-data.html

Copyright Text: NOAA, National Oceanic and Atmospheric Administration Mean Sea Level Dataset for "Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean Projections and Extreme Water Level Probabilities Along U.S. Coastlines"

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Layer: Coastal Construction Line (CCL) (2)

Name: Coastal Construction Line (CCL)

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Description: This dataset contains all the Coastal Construction Control Lines in Florida as established by legal descriptions filed at the appropriate County Courthouse.

Copyright Text: FDEP, Bureau of Beaches and Coastal Systems

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Layer: Coastal Building Zone (CBZ) (3)

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Description: This polygon depicts the possible extent of the Coastal Building Zone (CBZ) of the state of Florida, based on the Florida Statutes s. 161.54 Definitions and s. 161.55 Requirements for activities or construction within the coastal building zone. The criteria to define the extent of the zone varies, depending whether there is a Coastal Construction Control Line (CCCL) in the area or not, and whether it is in the mainland or in a coastal barrier island. Coastal barrier islands were defined as geological features surrounded by marine waters fronting the open waters of the Gulf of Mexico or the Atlantic Ocean, not separated from the mainland by artificial channelization. The criteria used to delineate the boundaries is detailed below: Mainland Areas with CCCL – Limits cover from the Mean High Water (MHW) line to a line 1,500 feet landward from the CCCL. The distance was measured perpendicular to every segment of the CCCL, with the CBZ boundary being the line formed by connecting the landward-most point of all measurements taken. Coastal Barrier Islands with CCCL – Limits cover from the MHW line to either a line 5,000 feet landward from the CCCL measured perpendicularly, or the entire island, whichever is less. Smaller islands attached to the main island were considered part of the coastal barrier island when delineating the CBZ area.Mainland Areas without CCCL – Limits cover all the land seaward from the most landward boundary of the velocity zone (V-zone) fronting upon the Gulf of Mexico or the Atlantic Ocean. Coastal Barrier Islands without CCCL – Limits cover from the MHW line to the landward boundary of the island. All land area in the Florida Keys located within Monroe County is included in the CBZ.161.54 Definitions.https://m.flsenate.gov/Statutes/161.54 161.55 Requirements for activities or construction within the coastal building zone.https://m.flsenate.gov/Statutes/161.55 For issues with this data please contact Jeohusua Lugo at Jeohusua.Lugo@FloridaDEP.gov

Copyright Text: Florida Department of Environmental Protection

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Layer: Areas at Risk Due to SLR (SLIP) (4)

Name: Areas at Risk Due to SLR (SLIP)

Display Field: DESCRIPTION

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Description: This dataset contains the possible extent of the Area at Risk Due to Sea Level Rise of the state of Florida, based on the Florida Statute s. 380.093(3)(d)3.b. Requirements for activities or construction within the coastal building zone. The Area at Risk Due to Sea Level Rise is defined as any location that is projected to be below the threshold for tidal flooding within the next 50 years by adding sea level rise using the highest of the sea level rise projections required by Florida Statute s. 380.093(3)(d)3.b. For purposes of this paragraph, the threshold for tidal flooding is 2 feet above mean higher high water. This area expands upon the Coastal Building Zone of Florida, defined by Florida Statutes s. 161.54 Definitions and s. 161.55. The criteria used to delineate the boundaries is detailed below:Area at Risk Due to Sea Level Rise:Regional MHHW grids were extracted from NOAA’s VDatum standalone datum conversion package.Regional VDatum MHHW grids (rasters) were mosaiced into a statewide MHHW raster.The VDatum MHHW grid was transormed to use the North American Vertical Datum of 1988 (NAVD88) and units of feet.Two feet were added to the MHHW NAVD88 raster to account for the FDEP threshold for tidal flooding.An additional 1.82’ were added to the MHHW NAVD88 raster to account for sea level rise using 20222 NOAA Intermediate sea level rise projections for the 2070 planning horizon.Create a flood inundation raster by subtracting the elevations on the MHHW raster from topographic elevations.Topographic elevations are provided by the FDEM as part of a 2018 statewide LiDAR project.Convert flood inundation raster to a vector polygon format.Clean flood inundation polygon to remove small, isolated inundation polygons that are not hydraulically connected to a tidal flooding source.Coastal Building Zone:The Coastal Building Zone of Florida was merged with the final dataset to ensure that all original Coastal Building Zone areas were included in the Area at Risk Due to Sea Level Rise dataset.380.0937 Definitions: https://m.flsenate.gov/Statutes/380.0937For issues with this data please contact Jeohusua Lugo at Jeohusua.Lugo@FloridaDEP.gov

Copyright Text: Florida Department of Environmental Protection (FDEP); Taylor Engineering, Inc.

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Layer: Flood Risk (Coastal and Inland) (5)

Sub Layers:
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• Sea Level Rise (NOAA)
• Storm Surge Zones (FDEM and RPCs)
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Layer: Current High Tide Flooding (NOAA) (6)

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Layer: Minor High Tide Flooding (NOAA) (7)

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Layer: Major High Tide Flooding (NOAA) (9)

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Layer: Sea Level Rise (NOAA) (10)

Parent Layer: Flood Risk (Coastal and Inland)

Sub Layers:
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• Extent of Flooding 6 Foot SLR (Above MHHW)
• Extent of Flooding 5 Foot SLR (Above MHHW)
• Extent of Flooding 4 Foot SLR (Above MHHW)
• Extent of Flooding 3 Foot SLR (Above MHHW)
• Extent of Flooding 2 Foot SLR (Above MHHW)
• Extent of Flooding 1 Foot SLR (Above MHHW)
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Layer: Extent of Flooding 7 Foot SLR (Above MHHW) (11)

Parent Layer: Sea Level Rise (NOAA)

Name: Extent of Flooding 7 Foot SLR (Above MHHW)

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Description: This layer represents inundation (flooding) depths associated with a projected 7-foot of sea level rise (SLR) over mean higher high water (MHHW). Inundation depth values from NOAA were reclassified by the UF GeoPlan Center for use within the AOI Tool Resilience Report, part of the Florida Department of Transportation's Environmental Screening Tool. Depth rasters were downloaded from National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM). Information from NOAA OCM below: These data were created as part of the NOAA Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. These data depict the potential inundation of coastal areas resulting from current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988).The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.The raster data represent both the horizontal extent of inundation and depth above ground, in inches. The vector data represent the horizontal extent of both hydrologically connected and unconnected inundation.

Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center

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Layer: Extent of Flooding 6 Foot SLR (Above MHHW) (12)

Parent Layer: Sea Level Rise (NOAA)

Name: Extent of Flooding 6 Foot SLR (Above MHHW)

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Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center

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Layer: Extent of Flooding 5 Foot SLR (Above MHHW) (13)

Parent Layer: Sea Level Rise (NOAA)

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Description: This layer represents inundation (flooding) depths associated with a projected 5-foot of sea level rise (SLR) over mean higher high water (MHHW). Inundation depth values from NOAA were reclassified by the UF GeoPlan Center for use within the AOI Tool Resilience Report, part of the Florida Department of Transportation's Environmental Screening Tool. Depth rasters were downloaded from National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM). Information from NOAA OCM below: These data were created as part of the NOAA Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. These data depict the potential inundation of coastal areas resulting from current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988).The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.The raster data represent both the horizontal extent of inundation and depth above ground, in inches. The vector data represent the horizontal extent of both hydrologically connected and unconnected inundation.

Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center

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Layer: Extent of Flooding 4 Foot SLR (Above MHHW) (14)

Parent Layer: Sea Level Rise (NOAA)

Name: Extent of Flooding 4 Foot SLR (Above MHHW)

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Description: This layer represents inundation (flooding) depths associated with a projected 4-foot of sea level rise (SLR) over mean higher high water (MHHW). Inundation depth values from NOAA were reclassified by the UF GeoPlan Center for use within the AOI Tool Resilience Report, part of the Florida Department of Transportation's Environmental Screening Tool. Depth rasters were downloaded from National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM). Information from NOAA OCM below: These data were created as part of the NOAA Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. These data depict the potential inundation of coastal areas resulting from current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988).The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.The raster data represent both the horizontal extent of inundation and depth above ground, in inches. The vector data represent the horizontal extent of both hydrologically connected and unconnected inundation.

Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center

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Layer: Extent of Flooding 3 Foot SLR (Above MHHW) (15)

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Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center

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Layer: Extent of Flooding 2 Foot SLR (Above MHHW) (16)

Parent Layer: Sea Level Rise (NOAA)

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Description: This layer represents inundation (flooding) depths associated with a projected 2-foot of sea level rise (SLR) over mean higher high water (MHHW). Inundation depth values from NOAA were reclassified by the UF GeoPlan Center for use within the AOI Tool Resilience Report, part of the Florida Department of Transportation's Environmental Screening Tool. Depth rasters were downloaded from National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM). Information from NOAA OCM below: These data were created as part of the NOAA Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. These data depict the potential inundation of coastal areas resulting from current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988).The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.The raster data represent both the horizontal extent of inundation and depth above ground, in inches. The vector data represent the horizontal extent of both hydrologically connected and unconnected inundation.

Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center

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Layer: Extent of Flooding 1 Foot SLR (Above MHHW) (17)

Parent Layer: Sea Level Rise (NOAA)

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Description: This layer represents inundation (flooding) depths associated with a projected 1-foot of sea level rise (SLR) over mean higher high water (MHHW). Inundation depth values from NOAA were reclassified by the UF GeoPlan Center for use within the AOI Tool Resilience Report, part of the Florida Department of Transportation's Environmental Screening Tool. Depth rasters were downloaded from National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM). Information from NOAA OCM below: These data were created as part of the NOAA Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. These data depict the potential inundation of coastal areas resulting from current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988).The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.The raster data represent both the horizontal extent of inundation and depth above ground, in inches. The vector data represent the horizontal extent of both hydrologically connected and unconnected inundation.

Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center

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Layer: Storm Surge Zones (FDEM and RPCs) (18)

Parent Layer: Flood Risk (Coastal and Inland)

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Layer: FEMA Special Flood Hazard Areas (19)

Parent Layer: Flood Risk (Coastal and Inland)

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Description: This dataset contains information about the flood hazards within the study area. These zones are used by the Federal Emergency Management Agency (FEMA) to designate the Special Flood Hazard Area (SFHA) and for insurance rating purposes. These data are the flood hazard areas that are or will be depicted on the Flood Insurance Rate Map (FIRM). There is one polygon for each contiguous flood zone designated. This information is required for all draft Digital Flood Insurance Rate Maps. The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event (100 year), the 0.2-percent-annual-chance flood event (500 year), and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. FEMA NFHL Product ID: NFHL_12_20240420, Latest Study Effective Date: 03/27/2024, Latest LOMR Effective Date: 04/18/2024. This dataset is an update to the DFIRM_FLDHAZ_DEC22 layer.

Copyright Text: FEMA National Flood Hazard Layer (NFHL) Status https://www.floodmaps.fema.gov/NFHL/status.shtml FEMA Flood Map Service Center: Search All Products https://msc.fema.gov/portal/advanceSearch

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Layer: Statewide Hazards (20)

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• Extreme Heat - Change in Annual Days Above 95F for Mid-Century (2036-2065)
• Wildfire Ignition Density
• Lightning Risk
• Strong Wind Risk
• Favorable Geology for Sinkhole Formation
Name: Statewide Hazards

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Layer: Extreme Heat - Change in Annual Days above 95F for Early-Century (2016-2045) (21)

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Layer: Extreme Heat - Change in Annual Days Above 95F for Mid-Century (2036-2065) (22)

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Layer: Wildfire Ignition Density (23)

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Description: Wildfire Ignition Density is the likelihood of a wildfire igniting in an area. Occurrence is derived by modeling historic wildfire ignition locations to create an average ignition rate map. The ignition rate is measured in the number of fires per year per 1000 acres. Six years of historic fire report data was used to create the ignition points for all southern fires. For all Southern states except Texas and Florida, data was obtained from federal, state and local fire department report data sources for the years 1997 to 2002. The Wildfire Ignition Density for these states is the Fire Occurrence Areas output from the original Southern Wildfire Risk Assessment. This data was not updated as part of the recent south wide risk update project. In Florida, additional fire data was obtained for state fires for the years 1981 to 2007. The compiled wildfire occurrence database was cleaned to remove duplicate records and to correct inaccurate locations. The database was then modeled to create a density map reflecting historical fire ignition rates. To aid in the use of Wildfire Ignition Density for planning activities, the output values are categorized into seven (7) classes reflecting average ignition rates. These are given general descriptions from Very Low to Very High. Seven classes are used to present finer detail for mapping purposes so that transitional areas can be easily identified. The class breaks are determined by analyzing the output values to reflect for the entire region.

Copyright Text: Southern Group of State Foresters. The Southern Group of State Foresters (SGSF) is a 501 (c)(3) non-profit corporation representing state forestry agencies within the 13 southeastern United States, and the U.S. territories of Puerto Rico and the Virgin Islands. SGSF members collectively provide leadership, coordination, expertise and resources to sustain the economic, environmental, health and societal benefits of southern forests. This includes the delivery of regional support needed to address existing and emerging issues related to sustainable forest management, forest health, water resources, urban and community forestry, forest product markets, wildfire protection, conservation education and disaster response.

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Layer: Lightning Risk (24)

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Description: The National Risk Index is a dataset and online tool that helps to illustrate the communities most at risk for 18 natural hazards across the United States and territories: Avalanche, Coastal Flooding, Cold Wave, Drought, Earthquake, Hail, Heat Wave, Hurricane, Ice Storm, Landslide, Lightning, Riverine Flooding, Strong Wind, Tornado, Tsunami, Volcanic Activity, Wildfire, and Winter Weather. The National Risk Index provides Risk Index values, scores and ratings based on data for Expected Annual Loss due to natural hazards, Social Vulnerability, and Community Resilience. Separate values, scores and ratings are also provided for Expected Annual Loss, Social Vulnerability, and Community Resilience. For the Risk Index and Expected Annual Loss, values, scores and ratings can be viewed as a composite score for all hazards or individually for each of the 18 hazard types.

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Description: The National Risk Index is a dataset and online tool that helps to illustrate the communities most at risk for 18 natural hazards across the United States and territories: Avalanche, Coastal Flooding, Cold Wave, Drought, Earthquake, Hail, Heat Wave, Hurricane, Ice Storm, Landslide, Lightning, Riverine Flooding, Strong Wind, Tornado, Tsunami, Volcanic Activity, Wildfire, and Winter Weather. The National Risk Index provides Risk Index values, scores and ratings based on data for Expected Annual Loss due to natural hazards, Social Vulnerability, and Community Resilience. Separate values, scores and ratings are also provided for Expected Annual Loss, Social Vulnerability, and Community Resilience. For the Risk Index and Expected Annual Loss, values, scores and ratings can be viewed as a composite score for all hazards or individually for each of the 18 hazard types.

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Layer: Favorable Geology for Sinkhole Formation (26)

Parent Layer: Statewide Hazards

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Description: The FGS used a modeling technique called Weights of Evidence (WofE) that involves the combination of diverse spatial data to describe and analyze interactions and generate predictive models from which a map of favorability can be produced. The project began with a one year pilot study in Columbia, Hamilton, and Suwannee Counties, during which methodologies were developed in preparation to model the entire state. To train and validate the model, locations of sinkholes were required. Over two-and-a-half-years, field teams traversed the state investigating over 3,600 points of interest (potential sinkholes) and mapped 654 sinkholes. After evaluating fourteen different spatial data types, the three statistically strong spatial data layers were used to model the favorability of the State’s geology to sinkhole formation. The resulting map depicts four classes representing areas where the geology is least favorable to most favorable to sinkhole formation.

Copyright Text: Florida Division of Emergency Management, Florida Department of Environmental Protection, Florida Geological Survey

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