010201002 > |Distortion as a means to provide information| The research proposes distortion as a way to graphically represent data. The experiments propose to start from an even field, an uniform grid with no directionality or differentiation. Once information is feed into the field, it is transformed by translating the data into a set of distortive methodologies such us; topographical variation, node attraction and repulsion.

The Brazil exercise, aims to track the hotspots of the country by registering the photo count data of each particular location which is feed from Flickr. The photo count figures will be translated into force magnitudes that will define the attraction force to each of the points on the grid. By doing so, the more popular the city the more distortion it will create. Since the input data is constantly changing, distortion will deal with memory and time in 2 different ways. In the X and Y axis, the distortion will be incremental over time, whereas the topographical distortion in the Z axis, will track the activity of that particular instant with no memory but the particular frame. The result of this experiment is an uneven and diversified field, that updates constantly by these changing figures.