Research

Ideas and open questions between data visualization and drawing.

Statement

I use the R programming language to write algorithms that generate digital images. The idea is to code a sequence of operations, balancing designed rules and randomness, that generates a new output each time it is executed. These outputs, vector images, are instructions to drive a pen plotter, a mechanical method to draw those images on paper.

I often start from existing datasets, treating them as malleable materials to craft diverse visual representations. The whole process is very much like repurposing a tool originally made for statistical analysis and quantitative display of information for artistic endeavors.

By transforming data into ink on paper, i’m considering technology as a tool to investigate, to raise new questions rather than solve them. Sometimes the algorithm produces exactly what was expected, very predictable. Other times it generates something surprising, because of the randomness, an unexpected combination of factors, or even a coding error, and this can become an interesting starting point for the next iteration.

Open questions

How does a tool designed for statistical analysis can become an artistic medium?

Can the rapid feedback loop between coding and visual outputs develop a particular kind of intuition?

What can ink painting and calligraphy teach about expressivity in a digital and mechanical process?

More information

Tools

R ggplot2 dem pen plotter axidraw svg

Themes

landscape topography calligraphy asemic writing


Systems