Florida Department of Transportation
20220304
Small Animal-Vehicle Collision Wetlands Road Hotspots in Florida - Coarse 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 wetland habitats presented at a statewide coarse-scale. The analysis used data layers of important aquatic and wetland resources vital for sustaining populations of wetland and aquatic species. The intent was to use the resource data layers to indicate locations where road conflicts are most likely to occur. Results were presented using a buffered, one-mile, road-segment base layer. Using ArcGIS (ESRI, Inc) we performed the analysis on the following Florida Natural Areas Inventory (FNAI) resource data: Significant Surface Waters, Functional Wetlands, Natural Floodplain. These data layers were created as part of the Florida Forever Conservation Needs Assessment and establish conservation priorities for each respective resource type. These layers provide a scale and means of ranking liklihood of presence of important wetland and aquatic species that may be adversely impacted by roads: Relative water resource quality, Potential habitat suitability, Priorities for conservation. For more detailed descriptions of these data layers, visit FFCNA_TechReport_v4_4.pdf (fnai.org). Observation point data (American Alligator and American Crocodile) and Affinity (+/-) habitat models (Alligator, Crocodile, River Otter, Spotted Turtle) were used for coarse validation of the results. https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/Small_Animal_Wetlands_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. Exported SmallAnimal_Wetland.gdb\Wetland_Coarse_Statewide to avcs_wetland_coarse_mar22. Upper cased all fields. 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_Wetlands_Road_Hotspots_Model.pdf. For more information contact: daniel.smith@ucf.edu
GeoPlan
20220317
Vector
GT-polygon composed of chains
25431
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_WETLAND_COARSE_MAR22
AVCS_WETLAND_COARSE_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
DESCRIPTION_OF_FUNCTIONAL_CLAS
Functional_Classification_Code
Functional Classification Code
UCF
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 Wetlands Road Hotspots in Florida - Coarse 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 wetland habitats presented at a statewide coarse-scale. The analysis used data layers of important aquatic and wetland resources vital for sustaining populations of wetland and aquatic species. The intent was to use the resource data layers to indicate locations where road conflicts are most likely to occur. Results were presented using a buffered, one-mile, road-segment base layer. Using ArcGIS (ESRI, Inc) we performed the analysis on the following Florida Natural Areas Inventory (FNAI) resource data: Significant Surface Waters, Functional Wetlands, Natural Floodplain. These data layers were created as part of the Florida Forever Conservation Needs Assessment and establish conservation priorities for each respective resource type. These layers provide a scale and means of ranking liklihood of presence of important wetland and aquatic species that may be adversely impacted by roads: Relative water resource quality, Potential habitat suitability, Priorities for conservation. For more detailed descriptions of these data layers, visit FFCNA_TechReport_v4_4.pdf (fnai.org). Observation point data (American Alligator and American Crocodile) and Affinity (+/-) habitat models (Alligator, Crocodile, River Otter, Spotted Turtle) were used for coarse validation of the results. https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/Small_Animal_Wetlands_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. Exported SmallAnimal_Wetland.gdb\Wetland_Coarse_Statewide to avcs_wetland_coarse_mar22. Upper cased all fields. 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_Wetlands_Road_Hotspots_Model.pdf. For more information contact: daniel.smith@ucf.edu
2022-03-17
GeoPlan
Florida Department of Transportation
0
25431
20220322
16520900
1.0
original metadata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