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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, Apalachee Regional Vulnerability Assessment: An Evaluation of Current and Future Flood Risks Across the Nine-County Region. These new attribute fields include:Asset_Cate = Critical Asset CategoryCrit_Asset = Critical Asset TypeLYR_Name = Critical Asset GIS Layer NameLYR_Source = Critical Asset GIS Layer SourceCounty_New = Florida County where Critical Asset ResidesOwnership = Critical Asset Ownership Type; Private or PublicDue to significant amounts of data and the mapping extents required to show the full County limits for statics maps in the Apalachee Regional Vulnerability Assessment 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. 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