The scientific visualization of continuous scalar data is currently widely used. New formulations based on particles or point clouds, like the Discrete Element Method, Mesh Free Methods and some more traditional methods such as the Finite Elements Method of Points, Finite Volume Method, among others, has allowed a better analysis of material structures and their behaviour, specifically in the area of engineering. This paper describes a new scientific visualization technique related to the representation of scalar discrete data that can be considered a modification to the way discrete data are visualized now days, known as tiny polygons. It is pretended that this technique be extended to any other method, rather than the mentioned above, capable of generate discrete scalar data or combination of them with continuous data. In the implementation of the scientific visualization technique presented in this paper cuaternions are used, with the aim of forming the figures that eventually will be displayed and one of the approaches to the nearest neighbour problem is used too, with the purpose of improving the computational complexity. Furthermore it is discussed the impact of this technique to obtain information from the final image.