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 The James Hutton Institute
This page is no longer updated. The Macaulay Land Use Research Institute joined forces with SCRI joined forces on 1 April 2011 to create The James Hutton Institute.  Please visit the James Hutton Institute website. 
 This page has been mothballed.
It is no longer being updated but we've left it here for reference.Further information   Countryside Council for Wales Wind Farm Project: Project Planning Document
- Pgis_2 ORGANISATION AND CONTACT INFORMATION I. Name: David Miller  II. Organisation: Maculay Land Use Research Institute.   III. Address: Craigiebuckler, Aberdeen, AB15 8QH.   IV. E-mail address: d.miller@macaulay.ac.uk MODELS USED FOR DATA ANALYSIS II. Model Name: Calculation of topographic exposure III. Source of Model: Quine and White IV. Computer Language that the model is developed in:- FortranV. Hardware needed to run model: Unix workstation VI. Data Inputs needed by model:  A. Ordnance Survey Digital Elevation Models - 1:10 000, 1:50 000   B. Wind turbine coverages for Scotland and Wales  VII. Model outputs  A. Tables/Statisics   1. Table/graph of relative exposure by turbine (coloured by farm) for each
site   B. Maps / GIS datalayers / 3D models / photographs   1. Illustrations of topographic exposure for each area (both scales in
Scotland)   2. Grid coverages of topographic exposure for each dataset   C. World Wide Web pages   1. Snapshot views of each dataset   2. Animation of snapshots showing input DEMs and output TOPEX  VIII. Accuracy/Sources of Uncertainty/Method of Handling  A. Error in DEMs (fromPERR_1)   B. Positional error of turbine locations  IX. Existing linkages between data (eg in databases) and software (eg
databases/GIS/Statistical packages)  A. None  X. GIS Software used  A. ArcInfo (version 7), ArcView (version 2)  XI. Modelling Software used  A. Fortran code  XII. Database Software used  A. None  XIII. Any other comments  The surfaces of topographic exposure provide a basis for assessing the
positioning of the turbines according to criteria other than visual impact. 
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