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D E V E L O P M E N T

C A P A B I L I T I E S

A N D

C O N S T R A I N T S

A S S E S S M E N T

PROJECT SUMMARY

Study bounds:

The Study bounds include the extents of the Dublin Corporation Limits as well as the extents of the Dublin School District. So as to not exclude trends occurring along the project boundaries, an additional 1/4 mile outside of the study bounds was included in this analysis. The total area including this 1/4 mile extension is: 36,303 acres, or 56.72 sq. miles.

The following counties are present within the study bounds: Franklin County, Delaware County and Union County

This study was conducted utilizing a 10’x10’ resolution grid. Data obtained from various sources was converted to this 10’x10’ grid for inclusion in the suitability model yielding 15,813,866 samples per data layer.

Definitions:

Suitabilty Model: A model developed to find the optimum siting, or probable location(s) for a specified purpose, or defined set of parameters.

Data Layer: A set of correlated graphical and tabular data. i.e. streams, counties, parcel designations, ownership, landcover.

Value: With respect to a suitability model, value is a numeric attribute assigned to a geographic location which correlates to a characteristic of the data layer.

Buffer: With respect to a suitability model, a buffer is a defined horizontal distance from a feature (component of a Data Layer) i.e. edge of stream or road. This buffer can be used to give a specific value for the area defined by the buffer, or it can be given a range of values so as the distance from a feature increases, the value increases, or decreases depending on the intent of the suitability model.

See the graphic below for an explanation of how values applied to data layers are summarized in a suitability model

Lower Values

Mid Values

Higher Values

Data Layer 1

Data Layer 2

Resultant Data Layer

Resultant Data Layer Values from Summing Data Values of Data Layer 1 and Data Layer 2

Typical Summation Process of Data Layer Values

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