Florida Department of Transportation
20220105
Large Animal-Vehicle Collision Hotspots by Florida Department of Transportation District - January 2022
Vector Digital Data Set (Polygon)
Orlando, FL
University of Central Florida
State of Florida
www.fgdl.org
This dataset contains large animal-vehicle collisions (AVCs) hotspots by Florida Department of Transportation District. The analysis calculates average number of AVC incidences per one mile road segment and distance from the mean to determine relative level of significance. 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.pdf
This 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.edu. https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/Large_Animal_Hotspots_Analysis.pdf
20220105
publication date
As needed
-87.522259
-80.005404
31.033951
24.554691
ISO 19115 Topic Category
society
None
The 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.html
University of Central Florida, Dept. of Biology, Science and Planning in Conservation Ecology (SPICE) Lab
Daniel Smith
Research Scientist and Graduate Faculty Scholar
unknown
4110 Libra Dr.
Orlando
FL
32816
(386)785-1565
daniel.smith@ucf.edu
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
GeoPlan 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 topology
This 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 GeoPlan
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan
0
onLine
Florida Department of Transportation
GeoPlan received All Data.zip from UCF via sharepoint LargeAnimal_HSA_DistrictLevel.zip Merged all district feature classes to create statewide layer. Feature classes used in merge were: HSA_Geodatabase_AllData.gdb\HotspotAnalysis_D# (where # is 1-7) Renamed statewide layer to avcl_hotspots_jan22. Added DESCRIPT based on ROAD_DESCRIPTION, added FGDLADATE based on date acquired by source. Upcased all records. Created metadata based on information found on Layerfile Description in ArcMap. For more detail on the analysis, please consult the project report: Hotspots Analysis Methods and Results.pdf https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/Large_Animal_Hotspots_Analysis.pdf For more information contact: daniel.smith@ucf.edu
GeoPlan
20220317
Vector
GT-polygon composed of chains
7453
NAD 1983 HARN Florida GDL Albers
24.0
31.5
-84.0
24.0
400000.0
0.0
coordinate pair
0.0001
0.0001
meter
D North American 1983 HARN
GRS 1980
6378137.0
298.257222101
AVCL_HOTSPOTS_JAN22
AVCL_HOTSPOTS_JAN22
Florida Department of Transportation
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
Esri
Coordinates defining the features.
Weighted_AVC_Count
weighted count (crash data wgt = 1, black bear wgt = 1.2, panther wgt = 1.4)
UCF
Gi_ZScore
Getis-Ord Gi Generated Z Score
UCF
Gi_PValue
Getis-Ord Gi Generated P Value
UCF
Nearest_Neighbors
Number of Nearby Neighbors
UCF
Gi_Bin
Confidence Level Tiers
UCF
District
FDOT Management District #s
UCF
Roadway
FDOT roadway identifier
UCF
County
Florida Counties
UCF
Number_of_Lanes
number of road lanes
UCF
Speed_Limit
posted speed limit; if 0, indicates no value available
UCF
Route_Number
state/county road number designation
UCF
Jurisdiction
Agency responsible for construction/maintenance
UCF
Road_Name
Road name and/or number
UCF
Road_Status
Status under the State Highway System
UCF
Road_Description
Road name/number and description
UCF
US_Route
US highway number
UCF
DESCRIPTION_OF_FUNCTIONAL_CLAS
Functional_Classification_Code
Functional Classification Code
UCF
Census_2019
Census Block designation in 2019 where road segment is located
UCF
AADT_2019
Annual Average Daily Traffic in 2019; if 0, indicates no value available
UCF
Black_Bear_AVC_Count
Number of collisions from the black bear roadkill dataset, per individual segment
UCF
Florida_Panther_AVC_Count
Number of collisions from the panther roadkill dataset, per individual segment
UCF
Rural_Crash_Data_AVC_Count
Number of collisions/segment from the FDOT crash dataset (rural areas only)
UCF
Total_AVC_Count
Combined number of animal vehicle collisions from all three datasets, per individual segment
UCF
Road_Project
Is the segment in an FDOT planned road project (early or pre-process)?
UCF
Existing_Conservation_Land
Is the segment in an existing conservation area?
UCF
Proposed_Conservation_Land
Is the segment in a proposed conservation area?
UCF
Priority_1_or_2_Greenway
Is the segment in a priority 1 or 2 greenway?
UCF
Priority_3_to_6_Greenways
Is the segment in a priority 3 (or more) greenway?
UCF
SECONDARY_FLORIDA_PANTHER_RANG
Primary_Florida_Panther_Range
Is the segment in primary panther range?
UCF
Florida_Panther_Habitat
Is the segment in panther habitat?
UCF
Abundant_or_Common_Bear_Range
Is the segment in the abundant or common black bear range?
UCF
Occasional_Black_Bear_Range
Is the segment in the occasional black bear range?
UCF
State_and_BMU_Bear_Habitat
Is the segment in BOTH the state and BMU black bear habitat?
UCF
State_or_BMU_Bear_Habitat
Is the segment in EITHER the state or BMU black bear habitat (not both)?
UCF
Confidence_Level
Confidence Level
UCF
DESCRIPT
FGDL added field based on ROAD_DESCRIPTION
GeoPlan
FGDLAQDATE
FGDL added field based on date downloaded from source.
GeoPlan
AUTOID
SHAPE.AREA
SHAPE.LEN
Florida Geographic Data Library (FGDL)
mailing
431 Architecture PO Box 115706
Gainesville
Florida
32611-5706
US
Mailing list for FGDL: http://www.fgdl.org/fgdl-l.html
For FGDL Software: http://www.fgdl.org/software.html
Web site: http://www.fgdl.org
Technical Support: http://www.fgdl.org/fgdlfeed.html
FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html
DOWNLOADABLE DATA
The 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.html
20220322
University of Central Florida, Dept. of Biology, Science and Planning in Conservation Ecology (SPICE) Lab
Daniel Smith
Research Scientist and Graduate Faculty Scholar
unknown
4110 Libra Dr.
Orlando
FL
32816
(386)785-1565
daniel.smith@ucf.edu
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
Daniel Smith
University of Central Florida, Dept. of Biology, Science and Planning in Conservation Ecology (SPICE) Lab
Research Scientist and Graduate Faculty Scholar
(386)785-1565
4110 Libra Dr.
Orlando
FL
32816
daniel.smith@ucf.edu
20220322
ArcGIS Metadata
1.0
Florida Geographic Data Library (FGDL)
431 Architecture PO Box 115706
Gainesville
Florida
32611-5706
US
For FGDL Software: http://www.fgdl.org/software.html
Technical Support: http://www.fgdl.org/fgdlfeed.html
FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html
Mailing list for FGDL: http://www.fgdl.org/fgdl-l.html
Web site: http://www.fgdl.org
DOWNLOADABLE DATA
www.fgdl.org
Large Animal-Vehicle Collision Hotspots by Florida Department of Transportation District - January 2022
2022-01-05
Florida Department of Transportation
University of Central Florida
Orlando, FL
Vector Digital Data Set (Polygon)
State of Florida
This dataset contains large animal-vehicle collisions (AVCs) hotspots by Florida Department of Transportation District. The analysis calculates average number of AVC incidences per one mile road segment and distance from the mean to determine relative level of significance. 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.pdf
This 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 Smith
University of Central Florida, Dept. of Biology, Science and Planning in Conservation Ecology (SPICE) Lab
Research Scientist and Graduate Faculty Scholar
(386)785-1565
4110 Libra Dr.
Orlando
FL
32816
daniel.smith@ucf.edu
society
ISO 19115 Topic Category
society
The 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.html
The 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.html
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
-87.522259
-80.005404
24.554691
31.033951
publication date
2022-01-05
Detailed information can be found in Hotspots Analysis Methods and Results.pdf, please contact daniel.smith@ucf.edu. https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/Large_Animal_Hotspots_Analysis.pdf
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology
This 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 GeoPlan
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan
GeoPlan received All Data.zip from UCF via sharepoint LargeAnimal_HSA_DistrictLevel.zip Merged all district feature classes to create statewide layer. Feature classes used in merge were: HSA_Geodatabase_AllData.gdb\HotspotAnalysis_D# (where # is 1-7) Renamed statewide layer to avcl_hotspots_jan22. Added DESCRIPT based on ROAD_DESCRIPTION, added FGDLADATE based on date acquired by source. Upcased all records. Created metadata based on information found on Layerfile Description in ArcMap. For more detail on the analysis, please consult the project report: Hotspots Analysis Methods and Results.pdf https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/Large_Animal_Hotspots_Analysis.pdf For more information contact: daniel.smith@ucf.edu
2022-03-17
GeoPlan
Florida Department of Transportation
0
7453
20220322
17123300
1.0
original metadata
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