Advanced GeoSpatial Inc.
unknown
Sand-and-Gravel Aquifer Contamination Potential
raster digital data
The SNG Response theme grid is the relative vulnerability map for the Surficial Aquifer System. It was calculated using the ArcSDM extension and applying the weights of evidence method. A relative vulnerability class field is also in the table so that the grid can be symbolized into 4 vulnerability classes. These classes were developed based on weights of evidence vs. cumulative area breaks.
Development of a relative vulnerability map for the Surficial (SNG) aquifer system.
20070101
ground condition
As needed
-87.639366
-86.373012
31.023005
30.280548
None
Okaloosa County
Escambia County
Santa Rosa County
Geoscientific Information
Geology and Geophysics
Vulnerability
None
Maps generated as part of this project were developed by Advanced GeoSpatial Inc. (AGI) to provide FDEP with a ground-water resource management and protection tool to carry out agency responsibilities related to natural resource management and protection regarding the Floridan Aquifer System. Although efforts were made to ensure information in these maps is accurate and useful, neither FDEP nor AGI assumes responsibility for errors in the information and does not guarantee that the data is free from errors or inaccuracies. Similarly, AGI and FDEP assume no responsibility for consequences of inappropriate uses or interpretations of the data on these maps. Accordingly, these maps are distributed on an "as is" basis and the user assumes all risk as to their quality, results obtained from their use, and performance of the data. AGI and FDEP further make no warranties, either expressed or implied as to any other matter whatsoever, including, without limitation, the condition of the product, or its suitability for any particular purpose. The burden for determining suitability for use lies entirely with the end user. In no event shall AGI or FDEP, or their respective employees have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of use of or reliance on the project results. AGI and FDEP bear no responsibility to inform users of any changes made to this data. Anyone using this data is advised that resolution implied by the data may far exceed actual accuracy and precision. Because this data was developed and collected with FDEP funding, no proprietary rights may be attached to it in whole or in part, nor may it be sold to FDEP or other government agency as part of any procurement of products or services.
Florida Geological Survey
Alan Baker
Professional Geologist Administrator
mailing and physical
3000 Commonwealth Blvd., Suite 1
Tallahassee
FL
32303
US
850-617-0337
Alan.Baker@dep.state.fl.us
Florida Geological Survey
James Cichon
Environmental Consultant
mailing and physical
3000 Commonwealth Blvd., Suite 1
Tallahassee
FL
32303
US
850-617-0335
james.cichon@dep.state.fl.us
Advanced GeoSpatial Inc.
Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959
Advanced GeoSpatial Inc.
unknown
SNG Model Response Theme
Florida Aquifer Vulnerability Assessment: Contamination potential of Florida's principal aquifer systems
FGS Bulletin 67
Florida Geological Survey
unknown
Intermediate Confining Unit Thickness
None
Intermediate Confining Unit Thickness
The SNG Response Theme grid is the relative vulnerability map for the Surficial (SNG) Aquifer System. It was calculated using the ArcSDM extension and applying the weights of evidence method. An analysis extent (study area), training point theme, and modeling method (weights of evidence) are selected in the set analysis parameters. Weights are then calculated on each evidential theme and then the themes are generalized (into binary patterns). A generalization of 1 represents "more vulnerable" areas, 2 represents "less vulnerable areas and -99 represents missing data. A response theme is then calculated based on the association between training points and evidential themes. A relative vulnerability class field is also in the table so that the grid can be symbolized into 4 vulnerability classes .
20090101
Advanced GeoSpatial Inc.
mailing and physical
Suite D
1949 Raymond Diehl Rd.
Tallahassee
FL
32308
US
850-580-4447
New FAVA II rasters obtained from FGS and added the same in the GIS library.
20170510
Florida Department of Environmental Protection (FDEP) OTIS/GIS Section
mailing and physical
2600 Blair Stone Rd MS 6520
Tallahassee
FL
32399-2400
US
GIS.Librarian@dep.state.fl.us
Raster
Pixel
2650
3979
30.000000
30.000000
8
1
Upper Left
FALSE
LZ77
1
pixel codes
FGDBR
TRUE
row and column
30.000000
30.000000
meter
D North American 1983 HARN
GRS 1980
6378137.0
298.257222101
VAT_SNG_RESPONSE
Relative vulnerability grid of the Surficial (SNG) Aquifer System.
Table
18
COUNT
Number of cells per unique condition
COUNT
Integer
4
0
0
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
0
0
POST_LOGIT
Sequential unique whole numbers that are automatically generated.
POST_LOGIT
Double
8
0
0
SUM_WEIGHT
Sequential unique whole numbers that are automatically generated.
SUM_WEIGHT
Double
8
0
0
VALUE
Number of Unique conditions
Sequential unique whole numbers that are automatically generated.
VALUE
Integer
4
0
0
UNCERTAINT
Sequential unique whole numbers that are automatically generated.
UNCERTAINT
Double
8
0
0
MSNG_DATA
Sequential unique whole numbers that are automatically generated.
MSNG_DATA
Double
8
0
0
TOT_UNCRTY
Sequential unique whole numbers that are automatically generated.
TOT_UNCRTY
Double
8
0
0
CONFIDENCE
Confidence value
Esri
Sequential unique whole numbers that are automatically generated.
CONFIDENCE
Double
8
0
0
OID_
OID_
Integer
4
0
0
ID
ID
Double
8
0
0
VUL_CLASS
Vulnerability ranking.
VUL_CLASS
String
25
0
0
KSAT_SNG2
KSAT_SNG2
Integer
4
0
0
DTW0_SNG
DTW0_SNG
Integer
4
0
0
SNG_DEPR30M
SNG_DEPR30M
Integer
4
0
0
AREA_SQM
AREA_SQM
Double
8
0
0
TRNGPOINTS
TRNGPOINTS
Integer
4
0
0
POST_PROB
Posterior Probability value
POST_PROB
Double
8
0
0
PSTPRBNRM
PSTPRBNRM
Double
8
0
0
CONF_PER
Confidence percent
CONF_PER
String
15
0
0
20170510
Florida Department of Environmental Protection (FDEP) OTIS/GIS Section
mailing and physical
2600 Blair Stone Rd MS 6520
Tallahassee
FL
32399-2400
US
GIS.Librarian@dep.state.fl.us
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
SNG_RESPONSE
52654.861433
172024.861433
702113.006575
781613.006575
1
002
Projected
GCS_North_American_1983_HARN
Linear Unit: Meter (1.000000)
NAD_1983_HARN_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/10.3'><WKT>PROJCS["NAD_1983_HARN_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]]</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>0.00020000000000000001</ZTolerance><MTolerance>0.00020000000000000001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem>
20170510
14423700
20170510
14423700
1.0
150000000
5000
FGDC
Florida Department of Environmental Protection (FDEP) OTIS/GIS Section
2600 Blair Stone Rd MS 6520
Tallahassee
FL
32399-2400
US
GIS.Librarian@dep.state.fl.us
20170510
ArcGIS Metadata
1.0
Sand-and-Gravel Aquifer Contamination Potential
Advanced GeoSpatial Inc.
raster digital data
<div style='text-align:Left;'><div><div><p><span>The SNG Response theme grid is the relative vulnerability map for the Surficial Aquifer System. It was calculated using the ArcSDM extension and applying the weights of evidence method. A relative vulnerability class field is also in the table so that the grid can be symbolized into 4 vulnerability classes. These classes were developed based on weights of evidence vs. cumulative area breaks.</span></p></div></div></div>
Development of a relative vulnerability map for the Surficial (SNG) aquifer system.
Advanced GeoSpatial Inc.
Alan Baker
Florida Geological Survey
Professional Geologist Administrator
850-617-0337
3000 Commonwealth Blvd., Suite 1
Tallahassee
FL
32303
US
Alan.Baker@dep.state.fl.us
James Cichon
Florida Geological Survey
Environmental Consultant
850-617-0335
3000 Commonwealth Blvd., Suite 1
Tallahassee
FL
32303
US
james.cichon@dep.state.fl.us
Escambia County
Okaloosa County
Santa Rosa County
ISO 19115 Topic Category
Geoscientific Information
Geology and Geophysics
Vulnerability
Geoscientific Information
Geology and Geophysics
Escambia County
Vulnerability
Okaloosa County
Santa Rosa County
<div style='text-align:Left;'><div><div><p><span>Maps generated as part of this project were developed by Advanced GeoSpatial Inc. (AGI) to provide FDEP with a ground-water resource management and protection tool to carry out agency responsibilities related to natural resource management and protection regarding the Floridan Aquifer System. Although efforts were made to ensure information in these maps is accurate and useful, neither FDEP nor AGI assumes responsibility for errors in the information and does not guarantee that the data is free from errors or inaccuracies. Similarly, AGI and FDEP assume no responsibility for consequences of inappropriate uses or interpretations of the data on these maps. Accordingly, these maps are distributed on an "as is" basis and the user assumes all risk as to their quality, results obtained from their use, and performance of the data. AGI and FDEP further make no warranties, either expressed or implied as to any other matter whatsoever, including, without limitation, the condition of the product, or its suitability for any particular purpose. The burden for determining suitability for use lies entirely with the end user. In no event shall AGI or FDEP, or their respective employees have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of use of or reliance on the project results. AGI and FDEP bear no responsibility to inform users of any changes made to this data. Anyone using this data is advised that resolution implied by the data may far exceed actual accuracy and precision. Because this data was developed and collected with FDEP funding, no proprietary rights may be attached to it in whole or in part, nor may it be sold to FDEP or other government agency as part of any procurement of products or services.</span></p></div></div></div>
SNG Model Response Theme
Advanced GeoSpatial Inc.
Florida Aquifer Vulnerability Assessment: Contamination potential of Florida's principal aquifer systems
FGS Bulletin 67
Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959
ground condition
2007-01-01
-87.639366
-86.373012
30.280548
31.023005
1
-87.639366
-86.373012
31.023005
30.280548
Intermediate Confining Unit Thickness
Intermediate Confining Unit Thickness
Florida Geological Survey
The SNG Response Theme grid is the relative vulnerability map for the Surficial (SNG) Aquifer System. It was calculated using the ArcSDM extension and applying the weights of evidence method. An analysis extent (study area), training point theme, and modeling method (weights of evidence) are selected in the set analysis parameters. Weights are then calculated on each evidential theme and then the themes are generalized (into binary patterns). A generalization of 1 represents "more vulnerable" areas, 2 represents "less vulnerable areas and -99 represents missing data. A response theme is then calculated based on the association between training points and evidential themes. A relative vulnerability class field is also in the table so that the grid can be symbolized into 4 vulnerability classes .
2009-01-01T00:00:00
Advanced GeoSpatial Inc.
850-580-4447
1949 Raymond Diehl Rd.
Suite D
Tallahassee
FL
32308
US
New FAVA II rasters obtained from FGS and added the same in the GIS library.
2017-05-10T00:00:00
Florida Department of Environmental Protection (FDEP) OTIS/GIS Section
2600 Blair Stone Rd MS 6520
Tallahassee
FL
32399-2400
US
GIS.Librarian@dep.state.fl.us
2
original metadata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
File Geodatabase Raster Dataset
dataset