University of Florida - GeoPlan Center20201204Florida Sand Skink and Blue-Tailed (Bluetail) Mole Skink Suitable Habitat - August 2020Vector Digital Data Set (Polygon)Gainesville, FlUniversity of Florida - GeoPlan CenterState of Floridawww.fgdl.orgThis dataset contains suitable habitat for the Florida Sand Skink (Plestiodon [Neoseps] reynoldsi) and Blue-Tailed Mole Skink (Plestiodon [Eumeces] egregius lividus) that falls within the skink consultation areas. This layer was created by University of Florida - GeoPlan Center using criteria set forth in the Peninsular Florida Species Conservation and Consultation Guide for Skinks updated July 31, 2020. This layer was derived from the following two layers: flidar_aug20 and nrcs_soils_jun20.The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.20201204publication dateAs needed-82.1561-81.204229.515627.0138ISO 19115 Topic CategorybiotaNoneThe 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 Florida - GeoPlan CenterSam PalmerGIS Specialistunknown131 Architecture PO Box 115706GainesvilleFL32611n/adata@fgdl.orgEnvironment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1 (Build 11595) Service Pack N/A (Build N/A)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 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 GeoPlanSoils Processing
==============
-Select features from Nrcs_Soils_Jun20 that are one of the 27 suitable soil types or Urban% types. The following selection on soil type was executed: COMPNAME in ('APOPKA', 'ARCHBOLD', 'ARREDONDO', 'ASTATULA', 'BASINGER', 'CANDLER', 'DAYTONA', 'DUETTE', 'FLORAHOME', 'GAINESVILLE', 'HAGUE', 'IMMOKALEE', 'KENDRICK', 'LAKE', 'MILLHOPPER', 'ORSINO', 'PAOLA', 'PLACID', 'POMELLO', 'POMPANO', 'SAMSULA', 'SATELLITE', 'SMYRNA', 'ST. LUCIE', 'TAVARES', 'ZOLFO', 'ZUBER') or COMPNAME like 'URBAN%'
-Merge CA_SAND_SKINK and CA_BT_SKINK > dissolve > name CA_BT_SAND_SKINK_MERGE_DSV
-Select from selection set only those features that intersect the skink consultation area (CA_BT_SAND_SKINK_MERGE_DSV) and export to new feature class > SOILS_CA_SKINK
DEM processing
=============
-clip raster flidar_fgdl_aug20 (floating point feet) using extent of CA_BT_SAND_SKINK_MERGE_DSV. adjusted extent input clipping by increasing bounding box using xmin,xmax,ymin,ymax. this ensures that no raster cells are cutoff -reclass on 1ft FLIDAR_MOSAIC DEM to get values 70-81ft and 82ft and above in ArcMap with mask set as extent of skink_ca. 70 - 82 = 1 82 - 374 = 2
-export reclass result to polygon (no simplify)
-add ELEV (string 50) field with these values: 70 TO 82 FEET 82 FEET AND ABOVE
Intersect Soils and DEM
====================
-intersect on soil selection and elevation polygon
-delete all fields except GRIDCODE, ELEV, COMPNAME
-select all COMPNAME <> 'URBAN LAND' > calc COMPNAME to "SKINK HABITAT" (these is to setup for dissolve)
-add DESCRIPT field (string 50) > calc: [COMPNAME] & " " & [ELEV]
-dissolve on GRIDCODE, ELEV, DESCRIPT field. single part shapes preserved. (gridcode and elev don't really need to be here, but shouldn't change anything)
-clip to to CA_BT_SAND_SKINK_MERGE_DSV
-ran eliminate on all polygons less than 30 square meters (chose the 30 because of grid cells of dem (5.4329891, 5.4329891 meters), no home range is known according the Species Conservation and Consultation Guide). 24666 records selected during eliminate command
-any records that didn't eliminate get deleted (this would be any island polygon less than 30 square meters) 9960 values deleted
-Renamed output skink_suitability_aug20 (Chose _aug20 based on latest date on input layers (flidar_aug20 nrcs_soils_jun20))
-Added FGDLAQDATE based on latest fgdlaqdate date in flidar_aug20 nrcs_soils_jun20GeoPlan20201204UnknownOnlineGeoPlanVectorSimpleFALSE0FALSETRUEcoordinate pair0.60960.6096metersD_North_American_1983_HARNGRS_19806378137.0298.257222101skink_suitability_aug20SKINK_SUITABILITY_AUG20University of Florida - GeoPlan CenterFeature Class0FIDFIDOID400Internal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeFeature geometry.ESRICoordinates defining the features.ShapeGeometry000gridcodeCode from grid that represents elevation rangeProducer Defined12GRIDCODEInteger10100ELEVElevation rangeProducer DefinedELEVString5000DESCRIPTGeoPlan added field based on habitat type (this comes from soils, and is either a suitable soil or Urban) + elevationProducer DefinedDESCRIPTString5000FGDLAQDATEDate GeoPlan acquired data from sourceProducer Defined2020-11-10 00:00:002020-11-10 00:00:00FGDLAQDATEDate800AUTOIDAUTOIDInteger10100SHAPE_AREASHAPE_AREADouble1900Area of feature in internal units squared.EsriPositive real numbers that are automatically generated.SHAPE_LENSHAPE_LENDouble1900Florida Geographic Data Library (FGDL)mailing and physical431 Architecture PO Box 115706<GainesvilleFlorida32611n/aThe 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.htmlVector Digital Data Set (Polygon)www.fgdl.org20201207University of Florida - GeoPlan CenterSam PalmerGIS Specialistunknown131 Architecture PO Box 115706GainesvilleFL32611n/adata@fgdl.orgFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local time/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
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PC9tZEhyTHY+DQo8L21ldGFkYXRhPg==20210108160901001.0FGDC2020121415133700FGDC CSDGM MetadataFALSEfile://\\data.ufdc-fs01.osg.ufl.edu\geo-fs8-qaqc\finaldata\state\post_load\skink_suitability_aug20.shpLocal Area Networkskink_suitability_aug20582594.495400670612.768300337276.457200613495.78090010.000002ProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_Albers<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.7'><WKT>PROJCS["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>225743210.67916927</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>FeatureClassToFeatureClass Q:\finaldata\ETDM_shapes\pre_load\skink_suitability_aug20.shp "Database Connections\poke_etat.sde\aaa\" SKINK_SUITABILITY_AUG20 # "gridcode "gridcode" true true false 10 Long 0 10 ,First,#,Q:\finaldata\ETDM_shapes\pre_load\skink_suitability_aug20.shp,gridcode,-1,-1;ELEV "ELEV" true true false 50 Text 0 0 ,First,#,Q:\finaldata\ETDM_shapes\pre_load\skink_suitability_aug20.shp,ELEV,-1,-1;DESCRIPT "DESCRIPT" true true false 50 Text 0 0 ,First,#,Q:\finaldata\ETDM_shapes\pre_load\skink_suitability_aug20.shp,DESCRIPT,-1,-1;FGDLAQDATE "FGDLAQDATE" true true false 8 Date 0 0 ,First,#,Q:\finaldata\ETDM_shapes\pre_load\skink_suitability_aug20.shp,FGDLAQDATE,-1,-1" #AddField "Database Connections\poke_etat.sde\aaa\\SKINK_SUITABILITY_AUG20" AUTOID LONG # # # # NULLABLE NON_REQUIRED #CalculateField "Database Connections\poke_etat.sde\aaa\\SKINK_SUITABILITY_AUG20" AUTOID !OBJECTID! PYTHON_9.3 #AddIndex "Database Connections\poke_etat.sde\aaa\\SKINK_SUITABILITY_AUG20" AUTOID A20201218090015 NON_UNIQUE NON_ASCENDINGAddIndex "Database Connections\poke_etat.sde\aaa\\SKINK_SUITABILITY_AUG20" DESCRIPT D20201218090015 NON_UNIQUE NON_ASCENDINGAnalyze "Database Connections\poke_etat.sde\aaa\\SKINK_SUITABILITY_AUG20" BUSINESSCopyFeatures "Database Connections\poke_etat.sde\usfws\SKINK_SUITABILITY" Q:\finaldata\state\post_load\skink_suitability_aug20.shp # 0 0 020210108160901001500000005000Sam PalmerUniversity of Florida - GeoPlan CenterGIS Specialistn/a131 Architecture PO Box 115706GainesvilleFL32611data@fgdl.org20210108ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)n/a431 Architecture PO Box 115706<GainesvilleFlorida32611Vector Digital Data Set (Polygon)www.fgdl.orgwww.fgdl.org0.000ShapefileFlorida Sand Skink and Blue-Tailed (Bluetail) Mole Skink Suitable Habitat - August 20202020-12-04University of Florida - GeoPlan CenterUniversity of Florida - GeoPlan CenterGainesville, FlVector Digital Data Set (Polygon)State of Florida<DIV STYLE="text-align:Left;"><DIV><P><SPAN>This dataset contains suitable habitat for the Florida Sand Skink (Plestiodon [Neoseps] reynoldsi) and Blue-Tailed Mole Skink (Plestiodon [Eumeces] egregius lividus) that falls within the skink consultation areas. This layer was created by University of Florida - GeoPlan Center using criteria set forth in the Peninsular Florida Species Conservation and Consultation Guide for Skinks updated July 31, 2020. This layer was derived from the following two layers: flidar_aug20 and nrcs_soils_jun20.</SPAN></P></DIV></DIV>The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.Sam PalmerUniversity of Florida - GeoPlan CenterGIS Specialistn/a131 Architecture PO Box 115706GainesvilleFL32611data@fgdl.orgISO 19115 Topic CategorybiotabiotaThe 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<DIV STYLE="text-align:Left;"><DIV><P><SPAN>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</SPAN></P></DIV></DIV> Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595-82.1561-81.204227.013829.5156publication date2020-12-041-82.156059-81.20422029.51556427.013756This 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 GeoPlan0Soils Processing ============== -Select features from Nrcs_Soils_Jun20 that are one of the 27 suitable soil types or Urban% types. The following selection on soil type was executed: COMPNAME in ('APOPKA', 'ARCHBOLD', 'ARREDONDO', 'ASTATULA', 'BASINGER', 'CANDLER', 'DAYTONA', 'DUETTE', 'FLORAHOME', 'GAINESVILLE', 'HAGUE', 'IMMOKALEE', 'KENDRICK', 'LAKE', 'MILLHOPPER', 'ORSINO', 'PAOLA', 'PLACID', 'POMELLO', 'POMPANO', 'SAMSULA', 'SATELLITE', 'SMYRNA', 'ST. LUCIE', 'TAVARES', 'ZOLFO', 'ZUBER') or COMPNAME like 'URBAN%' -Merge CA_SAND_SKINK and CA_BT_SKINK > dissolve > name CA_BT_SAND_SKINK_MERGE_DSV -Select from selection set only those features that intersect the skink consultation area (CA_BT_SAND_SKINK_MERGE_DSV) and export to new feature class > SOILS_CA_SKINK DEM processing ============= -clip raster flidar_fgdl_aug20 (floating point feet) using extent of CA_BT_SAND_SKINK_MERGE_DSV. adjusted extent input clipping by increasing bounding box using xmin,xmax,ymin,ymax. this ensures that no raster cells are cutoff -reclass on 1ft FLIDAR_MOSAIC DEM to get values 70-81ft and 82ft and above in ArcMap with mask set as extent of skink_ca. 70 - 82 = 1 82 - 374 = 2 -export reclass result to polygon (no simplify) -add ELEV (string 50) field with these values: 70 TO 82 FEET 82 FEET AND ABOVE Intersect Soils and DEM ==================== -intersect on soil selection and elevation polygon -delete all fields except GRIDCODE, ELEV, COMPNAME -select all COMPNAME <> 'URBAN LAND' > calc COMPNAME to "SKINK HABITAT" (these is to setup for dissolve) -add DESCRIPT field (string 50) > calc: [COMPNAME] & " " & [ELEV] -dissolve on GRIDCODE, ELEV, DESCRIPT field. single part shapes preserved. (gridcode and elev don't really need to be here, but shouldn't change anything) -clip to to CA_BT_SAND_SKINK_MERGE_DSV -ran eliminate on all polygons less than 30 square meters (chose the 30 because of grid cells of dem (5.4329891, 5.4329891 meters), no home range is known according the Species Conservation and Consultation Guide). 24666 records selected during eliminate command -any records that didn't eliminate get deleted (this would be any island polygon less than 30 square meters) 9960 values deleted -Renamed output skink_suitability_aug20 (Chose _aug20 based on latest date on input layers (flidar_aug20 nrcs_soils_jun20)) -Added FGDLAQDATE based on latest fgdlaqdate date in flidar_aug20 nrcs_soils_jun202020-12-04GeoPlan0datasetEPSG6.13(9.2.0)