Florida Department of Transportation
20220304
Small Animal-Vehicle Collision Uplands Road Hotspots in Florida - Fine Scale - March 2022
Vector Digital Data Set (Polygon)
Orlando, FL
University of Central Florida
State of Florida
www.fgdl.org
This data set represents small animal-vehicle collision road hotspots on roadways in upland habitats presented at fine-scale. This layer is a result of merging district level fine-scale layers into 1 statewide layer. The analysis used Florida Fish and Wildlife Conservation Commission (FWC) species-habitat predictive models to identify and rank the likelihood of the presence of representative small animal upland species. Results were presented using a buffered, one-mile, road-segment base layer. The following 9 representative species predictive models: Florida mouse, Eastern diamondback rattlesnake, Eastern indigo snake, Florida pine snake, Southern hognose snake, Florida gopher frog, Flatwoods salamander, Striped newt, Tiger salamander. Gopher tortoise (an affinity +/- model was used for coarse validation). The predictive models rank potential habitat suitability on a continuous scale from 0 to 1, with one representing the highest probability. For detailed information on the analysis, please see this report: https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/Small_Animal_Uplands_Road_Hotspots_Model.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
20220304
publication date
As needed
-87.579946
-79.864499
31.044782
24.501004
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 on 3/4/22. Merged SmallAnimal_Upland.gdb\Upland_Fine_D# (where # = FDOT district) to avcs_upland_fine_mar22. Upper cased all fields. Defined Projection from custom Albers HARND to 3087 projection file. Added DESCRIPT based on ROAD_DESCRIPTION field and FGDLAQDATE based on date acquired from source. For detailed information on the analysis, please see this report: https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/Small_Animal_Uplands_Road_Hotspots_Model.pdf. For more information contact: daniel.smith@ucf.edu
GeoPlan
20220317
Vector
GT-polygon composed of chains
563444
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
AVCS_UPLAND_FINE_MAR22
AVCS_UPLAND_FINE_MAR22
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.
Roadway
FDOT roadway identifier
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
Interstate
Is the road part of the interstate highway system?
UCF
Toll_Road
Is the highway a toll road?
UCF
US_Route
US highway number
UCF
State_Route
Road name and/or number
UCF
County_Road
county road number designation
UCF
Functional_Classification_Code
Functional Classification Code
UCF
DESCRIPTION_OF_FUNCTIONAL_CLAS
Probability
The predictive models rank potential habitat suitability on a continuous scale from 0 to 1, with one representing the highest probability
UCF
General_Land_Use_Type
FDOT classi?cation in 2020 where road segment is located
UCF
Existing_Conservation_Land
Is the segment in an existing conservation area? Includes FLMA database, 3/20 (government and private conservation lands). Includes SOLARIS conservation easements (7/18, 5/20), Includes approved conservation mitigation banks (3/20)
UCF
Proposed_Conservation_Land
Is the segment in a proposed conservation area? From the FFBOT data layer, 12/19 (Florida Forever Board of Trustees)
UCF
Priority_1_or_2_Greenway
Is the segment in a priority 1 or 2 greenway? From Florida Ecological Greenways Network data layer, v4.3
UCF
Priority_3_to_5_Greenways
Is the segment in a priority 3, 4 or 5 greenway?
UCF
FNAI_Priority_1_to_3
FNAI habitat conservation priority 1 to 3
UCF
FNAI_Priority_4_to_6
FNAI habitat conservation priorities 4 to 6
UCF
Underrepresented_Communities
FNAI under represented natural communities From Florida Natural Areas Inventory, 2020
UCF
District
FDOT Management District #s
UCF
AADT_2019
Annual Average Daily Traffic in 2019; if 0, indicates no value available
UCF
County
Florida Counties
UCF
Number_of_Lanes
number of road lanes
UCF
Road_Project
Is the segment in an FDOT planned road project (early or pre-process)?
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
Small Animal-Vehicle Collision Uplands Road Hotspots in Florida - Fine Scale - March 2022
2022-03-04
Florida Department of Transportation
University of Central Florida
Orlando, FL
Vector Digital Data Set (Polygon)
State of Florida
This data set represents small animal-vehicle collision road hotspots on roadways in upland habitats presented at fine-scale. This layer is a result of merging district level fine-scale layers into 1 statewide layer. The analysis used Florida Fish and Wildlife Conservation Commission (FWC) species-habitat predictive models to identify and rank the likelihood of the presence of representative small animal upland species. Results were presented using a buffered, one-mile, road-segment base layer. The following 9 representative species predictive models: Florida mouse, Eastern diamondback rattlesnake, Eastern indigo snake, Florida pine snake, Southern hognose snake, Florida gopher frog, Flatwoods salamander, Striped newt, Tiger salamander. Gopher tortoise (an affinity +/- model was used for coarse validation). The predictive models rank potential habitat suitability on a continuous scale from 0 to 1, with one representing the highest probability. For detailed information on the analysis, please see this report: https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/Small_Animal_Uplands_Road_Hotspots_Model.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
-87.579946
-79.864499
24.501004
31.044782
publication date
2022-03-04
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 on 3/4/22. Merged SmallAnimal_Upland.gdb\Upland_Fine_D# (where # = FDOT district) to avcs_upland_fine_mar22. Upper cased all fields. Defined Projection from custom Albers HARND to 3087 projection file. Added DESCRIPT based on ROAD_DESCRIPTION field and FGDLAQDATE based on date acquired from source. For detailed information on the analysis, please see this report: https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/Small_Animal_Uplands_Road_Hotspots_Model.pdf. For more information contact: daniel.smith@ucf.edu
2022-03-17
GeoPlan
Florida Department of Transportation
0
563444
20220322
16520600
1.0
original metadata
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