This file (LAVA_Project.rar) contains the Leon County Aquifer Vulnerability Assessment evidential themes,
training points and results in a prepackaged project file.

****Please extract all files to any drive and do not move them once extracted.  This project is setup to be portable
and uses relative paths for the file locations.  Changing names of files or folders within the project directory
will "break" the connections built into the project resulting in a red exclamation point next to the layers that
cannot be found.***

Files in the folder \Leon_grids are.....

GRIDS
Eff_Karst:	Karst features
Icu_Thk:	Thickness of Intermediate Confining Unit (feet) (not used in model)
Karst_Buff:	Buffers in 20ft increments from the actual karst feature
Model_Result:	LAVA model results or posterior probabilities
Ovbdn:		Thickness in feet of sediments overlying the FAS
Soil_K:		Soil Hydraulic Conductivity, rate in inches/hour that water moves through soils
wat_soils:	No data areas from the soils layer, this layer is used to develop the model mask
	   	and is not an input theme but used to mask gaps in the model where water polygons
		do not share the same extents as the soil data layer water polygons

Shapefiles
City_Limits.shp:	Political Boundary, source: Tallahassee Leon County GIS division
Interstates.shp:	Transportation, source: FDOT
Leon_cnty_line.shp:	Political Boundary, source: Tallahassee Leon County GIS division
Major_roads.shp:	Transportation, source: FDOT
No3_fldn_train_pts.shp:	point shapefile showing the locations of wells selected as trining sites
			for input into the LAVA model
No3_fldn_wells.shp:	point shapefile showing the locations of all wells used to derive the
			training point theme
Streets.shp:  		Transportation, source: Tallahassee Leon County GIS division

Tables
CI.dbf:			Table of conditional independence test results for each unique condition, can be joined to the
			Model_Result grid based on value
Postprob.dbf:		Table of posterior probabilities, table can be joined to the model result grid based on value
Tbl.dbf:		Table of area in square meters per unique condition showing the number of training sites per 
			unique condition
Woe.dbf:		Weights table, shows the strength of each input layer used in the model as well as the confidence
			of each input
woevar.dbf:		Table of variances for the weights of evidence analysis per input
Wofe.dbf:		Table of statistics for each unique condition including; posterior probability, normalized probability
			posterior logit, sum of weights, uncertainty, missing data and total uncertainty.  Confidence for each
			condition can be calculated by dividing the posterior probability by the total uncertainty.

ArcMap project
LAVA_Project.mxd:	ArcMap project setup using ArcGIS.  You will need to have ArcGIS installed on your machine to open this file

ArcReader project
LAVA_Project.pmf	ArcReader, a free program, will need to be installed on your local computer to view this file.  Go to www.esri.com
			and search for ArcReader to download.  You will need to create a user account to do so.

Project notes
The LAVA model project file has been setup to show the input themes symbolized prior to calculating weights.  These layers are in the
Evidential Themes category.  They include; Effective Karst Features, Buffered Effective Karst Features, Soil Hydraulic Conductivity,
and Thickness of FAS Overburden.  Under the Generalized Themes category the input themes have been symbolized to show the generalized
breaks of each input layer.  The Results/Validation category shows the model results and model confidence themes.

For additional information regarding this project,
please refer to the associated report and 24 x
36 interpretive poster, both titled "Leon County
Aquifer Vulnerability Assessment: A Ground-
Water Protection and Management Tool."           

Prepared for the Leon County Board of County
Commissioners by Advanced GeoSpatial Inc. in
fulfillment of BC-06-21-06-53, July, 2007, v. 1.    

For more information on this product please contact
Advanced GeoSpatial Inc. at 850.580.4447 or visit
www.adgeo.net for further contact information. 