Pierre Casadebaig is a crop scientists who became involved in the generative art movement in the early 2020s. He is particularly known for his work combining algorithmic approaches with open data sets such as topology of the Pyrenees mountain range. While he has only released a small amount of work over the years, his images are prized by many major generative art collectors.
COLLECTION HIGHLIGHTS
Ridge Regression
Conflated Confluent
Dispyr - Albera
The examples above highlight Pierre's approach to generative art, creating beautiful sketches from data. The "Ridge Regression" series represents a tour of imagined landscapes rooted in data visualization, drawing from real elevation logs that reveal the landscape topography of France's diverse mountain ranges. The project’s algorithm involves an evolutionary process applied to geology, where new plausible landscapes are built by recombining a set of randomly sampled real location(s).
Conflated Confluent was a study in the data-to-ink ratio idea from data visualisation, namely "a quick way to say that you should avoid using too much ink if it does not represent information (e.g. fillings, effects)". The piece specifically explores how much data could be ignored while still keeping a realistic representation.
Finally, "Albera" is from the Dispyr series, where elevation data centered on a point of interest in the Pyrénées mountain range is obtained from a digital elevation model, processed into 2D and rendered as a beautiful sketch of a distant landscape.
THE COLLECTION
Our permanent full collection is an ever-growing body of some of the finest work by the artist. We use external gallery sites such as deca.art and gallery.so to display our galleries as they provide extensive features to learn more about each individual work. Please take care on any external site as they are not managed by us.
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