Sculptures shaped by their surrounding conditions
As much as changes in temperature and wind erode natural landscapes over time, they alter our perception of urban features.
The digital space has irreversibly collided with the real space: today we perceive our environment in the same measure through our senses and via our smartphones.
This project sits on the edge of the analog/digital experience, mapping the relation of a given location with its surroundings and utterly the impact they both have on our perception, to generate a new experience.
Technology has taken over the way we perceive and remember the world, real experience is becoming an added value to the digital synthesis, wherein electronic data has more value than our limited senses.
By focusing on basic and subjective aspects of our perception of space, such as ambient light and temperature, the site-sculptures reconcile digital readout and actual experience. Both, variations of light and temperature control our mood, and hence, ultimately, our perception of space as much as they erode and shape the landscape itself.
But although it seems obvious, we dismiss the fact that under the same circumstances different parts of a building will offer a completely different experience: while in the front it could feel warm and sunny, in the back it could be dark and cold. But it’s not that simple, it all depends of how light reach you and how the wind moves through the building, even more; not just the building but its surrounding: ie. the supposed to be dark-backyard actually could be brighter than the front facade due to all of the reflections from the surrounding windows, while the opposite building is casting its shadow on the front facade. Such short distance location-specific circumstances change during the day, making the whole experience as complex as our perception is subtle; in contrast to the simplified digital version of the forecast App, which will offer the same reading for the whole city, for the most part of the day.
I don’t think so. Out of tune and subjective for the most part? Yes, but highly valuable.
Using a couple dozen of tailor-made logging devices, location-specific values of temperature and light are collected, synchronously, around the perimeter of a given architecture for several days (weeding out random funky weather behaviors, due to the long capture).
Thus, it is possible to generate a 3D shape that visualizes the relations of that specific space with its environment: how it is affected and how it reacts, as well as how it is perceived by us and ultimately how we experience all that madness, in a simple and natural way.
The data not only reveals the change to which such space is subjected to over time, but also what factors control its subtle variations depending on the point where you are. Architectural factors of space itself (orientation of each of its facades, height, corridors, courtyards, etc.) are taken into account at the time of data interpretation, establishing more precise relation between the changes in its lighting ratio and cloud movements, or temperature changes due to air currents; data which comprises our actual experience beyond the statistical value.
The data is the basis to model the sculptures, by means of custom software which translates all those numbers into something reminiscent to the shapes eroded by nature. The base form (related to the building’s foundation) is associated with the changes occurring at each point on building’s perimeter so that each subtle data change causes an equivalent subtle change in sculpture’s perimeter (and then a new layer is added to its height).
Hundreds of layers are shaped and piled together reflecting each of these changes in the building’s perimeter, while the vertical axis is a time line.
But compared to the detailed analytical study of the information that forms them, the accumulation of all its layers creates an interpretation of data beyond analytical visualization.
They are a volume in a subjective shape which we can relate to based on our own experiences, they distill an experience from the data rather than just a data visualization.