Wright, L (2007) An Introduction to the parallel coordinate technique applied to measurement data. NPL Report. DEM-ES 015

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Abstract

Many measurement processes depend on a wide variety of factors such as sensor position, time, temperature, frequency, pressure, and so on. Hence the description of a measured value often includes specification of these extra factors, making the data set multi-variate. Similarly, the results of computer models are commonly large sets of multi-variate data. Multi-variate data sets are very common throughout metrology, and tools for visualising such data sets have a large range of potential applications.
Visualisation of multi-variate data is difficult: only three spatial dimensions are available for plotting, and usage of colour and symbols becomes difficult to interpret if too much information is presented simultaneously. Parallel coordinates offer an alternative approach to visualisation of such data sets.
This report aims to provide a brief introduction to the parallel coordinate technique, and to illustrate its application to real problems by using case study examples.

Item Type:	Report/Guide (NPL Report)
NPL Report No.:	DEM-ES 015
Subjects:	Mathematics and Scientific Computing Mathematics and Scientific Computing > Modelling
Last Modified:	02 Feb 2018 13:15
URI:	http://eprintspublications.npl.co.uk/id/eprint/3882

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