20240214 18092100 1.0 FGDC CSDGM Metadata FALSE Merged_CriticalAssets_Polygon_VisualAnalysis 37.744 1629685.918548 2250047.167981 213664.661767 728212.066725 1 002 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_Florida_North_FIPS_0903_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_Florida_North_FIPS_0903_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1968500.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.5],PARAMETER[&quot;Standard_Parallel_1&quot;,29.58333333333333],PARAMETER[&quot;Standard_Parallel_2&quot;,30.75],PARAMETER[&quot;Latitude_Of_Origin&quot;,29.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2883]]</WKT><XOrigin>-125939000</XOrigin><YOrigin>-91453300</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2883</WKID><LatestWKID>2883</LatestWKID></ProjectedCoordinateSystem> 20220826 13494000 20220826 13495100 150000000 5000 FGDC Jenna N. Phillips Cummins Cederberg, Inc. Sr. Coastal Engineer +1 727-308-2668 735 Arlington Ave. N, Suite 205 St. Petersburg FL 33701 US JPhillips@CumminsCederberg.com 20220826 ArcGIS Metadata 1.0 Merged_CriticalAssets_Polygon_VisualAnalysis vector digital data <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>GIS datasets were obtained from local, statewide, and nationwide data sources to identify critical and regionally significant assets located throughout the Apalachee Regional Planning Council (ARPC) region. These available datasets were reviewed by a team of coastal engineers, water resource professionals, GIS analysts, and local government staff to verify potential data overlap and potential data gaps prior to analysis. All critical asset data were first organized by asset type and source within each of the four Statute required critical asset categories (Transportation, Critical Community and Emergency Facilities, Critical Infrastructure, and Natural Cultural and Historic Resources). Critical asset types that had multiple, qualifying datasets were analyzed spatially to determine areas of overlap, in order to identify and produce final primary and secondary source data layers that eliminated duplicate data. The final critical asset data were merged by GIS feature type (point, polyline, and polygon) to reduce the number of layers used as inputs in following geoprocessing tasks. The original attribute tables for the final, merged critical asset layers were simplified to retain only complete, pertinent fields and new attribute fields were added to enable more efficient querying, sorting, and analysis of the data. The newly added fields, specifically LYR_Name and LYR_Source, can also be used to link back to their original dataset source information that can be found in tables 2, 3, 4, and 5 of the report, </SPAN><SPAN STYLE="font-style:italic;">Apalachee Regional Vulnerability Assessment: An Evaluation of Current and Future Flood Risks Across the Nine-County Region</SPAN><SPAN>. These new attribute fields include:</SPAN></P><P><SPAN>Asset_Cate = Critical Asset Category</SPAN></P><P><SPAN>Crit_Asset = Critical Asset Type</SPAN></P><P><SPAN>LYR_Name = Critical Asset GIS Layer Name</SPAN></P><P><SPAN>LYR_Source = Critical Asset GIS Layer Source</SPAN></P><P><SPAN>County_New = Florida County where Critical Asset Resides</SPAN></P><P><SPAN>Ownership = Critical Asset Ownership Type; Private or Public</SPAN></P><P><SPAN>Visual_A = Visual analysis to determine if critical asset infrastructure intersects the FEMA Floodplain; If so, the storm event is recorded.</SPAN></P><P><SPAN>Due to significant amounts of data and the mapping extents required to show the full County limits for statics maps in the </SPAN><SPAN STYLE="font-style:italic;">Apalachee Regional Vulnerability Assessment </SPAN><SPAN>report, two separate datasets were created, one for mapping and one for analysis. The analysis dataset joined critical asset point data that fell completely within 2020 parcel data (Source: FGDL) utilizing a spatial join. This step was necessary in order to better reflect potential impact when intersecting with flood scenario vector data. This dataset represents the polygon feature type of the analysis dataset.</SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>A visual analysis was performed on critical assets for all nine counties to determine their vulnerability. The parcels intersecting the FEMA Special Flood Hazard Areas were identified for further review. The critical assets were then manually inspected to determine the proximity of the FEMA floodplain to buildings and other infrastructure on the site, including parking lots, and entry roads. The resulting vulnerable assets were identified and the related storm event was recorded. This process filtered out instances where the intersecting SFHA was not adjacent to the infrastructure.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV> This polygon dataset represents critical asset data used for analysis purposes in the report, Apalachee Regional Vulnerability Assessment: An Evaluation of Current and Future Flood Risks Across the Nine-County Region. A visual analysis was performed on this dataset to filter out instances where the intersecting SFHA was not adjacent to the infrastructure. Cummins Cederberg, Inc., Halff Associates, Inc Critical Asset Analysis Dataset ARPC Apalachee Regional Planning Council Polygon Critical Asset Analysis Dataset ARPC Apalachee Regional Planning Council Polygon Visual Analysis FEMA Floodplain <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Data developed for the Apalachee Regional Planning Council.</SPAN></P></DIV></DIV></DIV> Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 -85.581257 -83.601492 29.583161 31.00229 1 -85.581255 -83.601492 31.002289 29.583161 16216 Merged_CriticalAssets_Polygon_VisualAnalysis Feature Class 16216 OBJECTID FID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Address Address String 77 0 0 Crit_Asset Crit_Asset String 254 0 0 LYR_Source LYR_Source String 254 0 0 COUNTY_NEW COUNTY_NEW String 50 0 0 LYR_Name LYR_Name String 254 0 0 Y Y Double 8 0 0 X X Double 8 0 0 Name Name String 128 0 0 Ownership Ownership String 254 0 0 Asset_Cate Asset_Cate String 254 0 0 path path String 200 0 0 Owner Owner String 143 0 0 layer layer String 100 0 0 Visual_A Visual_A String 50 0 0 Shape Feature geometry. Esri Coordinates defining the features. Shape Geometry 0 0 0 FACILITY_T FACILITY_T String 254 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 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