Polarimetric imaging is a technique for measuring the spatial correlations of the aspects of the polarisation of light. Since human vision is essentially unable to detect polarisation, the data obtained from this imaging technique must be converted into the channels of the human visual system in order to visually process the spatial correlations in the data. The technique for converting non-visual data into a visual representation is known as data visualisation. While the techniques for visualising other types of data is well studied, techniques specific for polarimetric imaging are understudied. This research aims to survey the current state of polarimetric imaging visualisation, to analyse the current methods using metrics from visualisation research, to improve on the existing techniques, to test the effectiveness of different methods in terms of user performance, and to develop novel colourmapping methods.