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Abstract
A method for GIS usability measurement
Alexander Nikov
University of West Indies,
Email: nikov@gmx.net
This paper explores the usability of a geographic information system (GIS) be measuring a manufacturing site. For this purpose a usability measurement method is proposed. It is based on a usability checklist and a backpropagation neural network. The method is implemented as a MATLAB program. A case study of using ArcGIS was performed. The GIS usability when applied to the task of inspecting the suitability of a site for the location of an industrial plant was quantitatively measured and analysed. Many usability problems were discovered and appropriate design recommendations for GIS are proposed. A comparison of the method proposed with a traditional measurement approach showed higher accuracy. The combination of a checklist, the neural network method and the quantitative nature of the study appear to be unique for GIS usability analysis
Keywords: Geographic information systems; usability measurement; neural networks
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