Florida Department of Transportation20211016Large Animal-vehicle Collision Hotspots in Florida - 2021Vector Digital Data Set (Polygon)Orlando, FlUniversity of Central FloridaState of Floridawww.fgdl.orgThis dataset contains large animal collision hotspots. It's based on an evaluation of available crash data for 4 large animal species (Florida panther, Florida black bear, white-tail deer, and American alligator). Using the ArcGIS (ESRI, Inc), Getis-Ord Gi Hotspot Analysis Tool, three tiers of relative significance (based on confidence levels) were identified: Top 1% (99%), Top 5% (95%), Top 10% (90%). Data sources used in the analysis include: Florida panther road mortality locations (FWC 2020), Florida black bear road mortality locations (FWC 2020), and reported accidents involving an animal (FDOT 2020). Florida panther and black bear mortalities were weighted at 1.4 and 1.2 respectively to reflect their conservation priority and highway safety risk. The 2020 roads base layer used in the analysis was obtained from FDOT. For detailed information on the analysis, please see this report: https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/HotspotsAnalysisFinalMethodsandResults10.19.21.pdfThis data layer was developed by University of Central Florida for the Florida Department of Transportation (FDOT) to further conservation initiatives to protect Florida wildlife by identifying and prioritizing habitat corridors where wildlife-highway conflicts are likely to occur.Detailed information can be found in Hotspots Analysis Methods and Results.pdf, please contact daniel.smith@ucf.edu20211016publication dateAs needed-87.522259-80.00540431.03395124.554691ISO 19115 Topic CategorysocietyNoneThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlUniversity of Central Florida, Dept. of Biology, Science and Planning in Conservation Ecology (SPICE) LabDaniel SmithResearch Scientist and Graduate Faculty Scholarunknown4110 Libra Dr.OrlandoFL32816(386)785-1565daniel.smith@ucf.edu Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is' by GeoPlan and is complete to our knowledge.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan0onLineGeoPlan received All Data.zip from UCF via email from daniel.smith@ucf.edu on 1/6/22. Merged all district feature classes to create statewide layer. Renamed statewide layer to avcl_hotspots. Added DESCRIPT based on ROAD_DESCRIPTION, added FGDLADATE based on date acquired by source. Upcased all records. Created metadata based on information found at KMZ popup and pdfs supplied by UCF. For more detail on the analysis, please consult the project report: Hotspots Analysis Methods and Results.pdf. https://adhoc.geoplan.ufl.edu/downloads/staging_xml/new/avcl_hotspots.xml For more information contact: daniel.smith@ucf.eduGeoPlan20220126VectorGT-polygon composed of chains7453NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101AVCL_HOTSPOTSAVCL_HOTSPOTSFlorida Department of TransportationOBJECTIDInternal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeFeature geometry.EsriCoordinates defining the features.Weighted_AVC_Countweighted count (crash data wgt = 1, black bear wgt = 1.2, panther wgt = 1.4)UCFGi_ZScoreGetis-Ord Gi Generated Z ScoreUCFGi_PValueGetis-Ord Gi Generated P ValueUCFNearest_NeighborsNumber of Nearby NeighborsUCFGi_BinConfidence Level TiersUCFDistrictFDOT Management District #sUCFRoadwayFDOT roadway identifierUCFCountyFlorida CountiesUCFNumber_of_Lanesnumber of road lanes UCFSpeed_Limitposted speed limit; if 0, indicates no value availableUCFRoute_Numberstate/county road number designationUCFJurisdictionAgency responsible for construction/maintenanceUCFRoad_NameRoad name and/or numberUCFRoad_StatusStatus under the State Highway SystemUCFRoad_DescriptionRoad name/number and descriptionUCFUS_RouteUS highway numberUCFDESCRIPTION_OF_FUNCTIONAL_CLASFunctional_Classification_CodeFunctional Classification CodeUCFCensus_2019Census Block designation in 2019 where road segment is locatedUCFAADT_2019Annual Average Daily Traffic in 2019; if 0, indicates no value availableUCFBlack_Bear_AVC_CountNumber of collisions from the black bear roadkill dataset, per individual segmentUCFFlorida_Panther_AVC_CountNumber of collisions from the panther roadkill dataset, per individual segmentUCFRural_Crash_Data_AVC_CountNumber of collisions/segment from the FDOT crash dataset (rural areas only)UCFTotal_AVC_CountCombined number of animal vehicle collisions from all three datasets, per individual segmentUCFRoad_ProjectIs the segment in an FDOT planned road project (early or pre-process)?UCFExisting_Conservation_LandIs the segment in an existing conservation area?UCFProposed_Conservation_LandIs the segment in a proposed conservation area?UCFPriority_1_or_2_GreenwayIs the segment in a priority 1 or 2 greenway?UCFPriority_3_to_6_GreenwaysIs the segment in a priority 3 (or more) greenway?UCFSECONDARY_FLORIDA_PANTHER_RANGPrimary_Florida_Panther_RangeIs the segment in primary panther range?UCFFlorida_Panther_HabitatIs the segment in panther habitat?UCFAbundant_or_Common_Bear_RangeIs the segment in the abundant or common black bear range?UCFOccasional_Black_Bear_RangeIs the segment in the occasional black bear range?UCFState_and_BMU_Bear_HabitatIs the segment in BOTH the state and BMU black bear habitat?UCFState_or_BMU_Bear_HabitatIs the segment in EITHER the state or BMU black bear habitat (not both)?UCFConfidence_LevelConfidence LevelUCFDESCRIPTGeoPlan added field based based on ROAD_DESCRIPTION fieldGeoPlanFGDLAQDATEDate acquired by GeoPlanGeoPlanAUTOIDSHAPE.AREASHAPE.LENFlorida Geographic Data Library (FGDL)mailing431 Architecture PO Box 115706GainesvilleFlorida32611-5706USFor FGDL Software: http://www.fgdl.org/software.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlWeb site: http://www.fgdl.orgDOWNLOADABLE DATAThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html20220126University of Central Florida, Dept. of Biology, Science and Planning in Conservation Ecology (SPICE) LabDaniel SmithResearch Scientist and Graduate Faculty Scholarunknown4110 Libra Dr.OrlandoFL32816(386)785-1565daniel.smith@ucf.eduFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeDaniel SmithUniversity of Central Florida, Dept. of Biology, Science and Planning in Conservation Ecology (SPICE) LabResearch Scientist and Graduate Faculty Scholar(386)785-15654110 Libra Dr.OrlandoFL32816daniel.smith@ucf.edu20220126ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFlorida32611-5706USFor FGDL Software: http://www.fgdl.org/software.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlWeb site: http://www.fgdl.orgDOWNLOADABLE DATAwww.fgdl.orgLarge Animal-vehicle Collision Hotspots in Florida - 20212021-10-16Florida Department of TransportationUniversity of Central FloridaOrlando, FlVector Digital Data Set (Polygon)State of FloridaThis dataset contains large animal collision hotspots. It's based on an evaluation of available crash data for 4 large animal species (Florida panther, Florida black bear, white-tail deer, and American alligator). Using the ArcGIS (ESRI, Inc), Getis-Ord Gi Hotspot Analysis Tool, three tiers of relative significance (based on confidence levels) were identified: Top 1% (99%), Top 5% (95%), Top 10% (90%). Data sources used in the analysis include: Florida panther road mortality locations (FWC 2020), Florida black bear road mortality locations (FWC 2020), and reported accidents involving an animal (FDOT 2020). Florida panther and black bear mortalities were weighted at 1.4 and 1.2 respectively to reflect their conservation priority and highway safety risk. The 2020 roads base layer used in the analysis was obtained from FDOT. For detailed information on the analysis, please see this report: https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/HotspotsAnalysisFinalMethodsandResults10.19.21.pdfThis data layer was developed by University of Central Florida for the Florida Department of Transportation (FDOT) to further conservation initiatives to protect Florida wildlife by identifying and prioritizing habitat corridors where wildlife-highway conflicts are likely to occur.Daniel SmithUniversity of Central Florida, Dept. of Biology, Science and Planning in Conservation Ecology (SPICE) LabResearch Scientist and Graduate Faculty Scholar(386)785-15654110 Libra Dr.OrlandoFL32816daniel.smith@ucf.edusocietyISO 19115 Topic CategorysocietyThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlVersion 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362-87.522259-80.00540424.55469131.033951publication date2021-10-16Detailed information can be found in Hotspots Analysis Methods and Results.pdf, please contact daniel.smith@ucf.eduThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanGeoPlan received All Data.zip from UCF via email from daniel.smith@ucf.edu on 1/6/22. Merged all district feature classes to create statewide layer. Renamed statewide layer to avcl_hotspots. Added DESCRIPT based on ROAD_DESCRIPTION, added FGDLADATE based on date acquired by source. Upcased all records. Created metadata based on information found at KMZ popup and pdfs supplied by UCF. For more detail on the analysis, please consult the project report: Hotspots Analysis Methods and Results.pdf. https://adhoc.geoplan.ufl.edu/downloads/staging_xml/new/avcl_hotspots.xml For more information contact: daniel.smith@ucf.edu2022-01-26GeoPlan0745320220126172731001.0original metadataPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk
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