Ridge Regression is 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).
Because the data does not convey human influences on the land, the resulting landscapes are stripped to their basic, raw forms. By observing the differences between real locations and these fragments of computational geological forms, the artworks highlight the impacts we have on our world – from inspiring transformations to consequential damages.
While some outputs contained unremarkable elements, their potential as components for broader compositions was harnessed by assembling them with stronger outputs, leading to the creation of those synthetic yet realistic landscapes. The project goes on to harmonize additional algorithmic systems for additional ridges, writings, and clouds – using a responsive grid layout that adapts to the shape of generated components.