Alpcan Balcı
2022 Fall
ARCH470 Digital Design Studio
This project provides an abstract representation model for one of today’s problems using real time, climate and location data. The basis of the project is to create leverage that can renew itself in different situations by using the computational tools we have. This created leverage can work on extreme data as well as actual data and can offer us a demonstration of conditions that we cannot encounter in the real world. The scenario has been determined in such a way that we can establish relations with the real world. Although this situation presents limits in terms of input, it provides a more specific comparison area for us to understand what things the computational model adds to us that we can’t reach. The climate change we are in, the melting of glaciers and the change in sea level in the world are formed according to the up-down relations and create the scenario.
The working principle of the model is based on an attractor that creates the leverage effect. Actual city map and real temperature, humidity and wind data for specific times are used as inputs. The primary interaction that provides the formation of the model is the interaction between the model shaped according to these accurate data and the attractor, which can also establish a proximity-distance relationship with the real data assigned to it. Depending on the type of these interactions and the changes shown by the model, the relationship styles can be examined as 3 phases. In the present example, different attractor interactions can be seen on the model studied over real data from New York. The 1930 New York climate data can be assigned to the attractor and the changes in the model can be observed with respect to the distance of the attractor. This form of interaction creates phase 1. In Phase 2, the data used with the attractor begins to be manipulated. Usually, the model represents extreme situations by using data that are well above or below reality. At this point, the dystopian image taken by the model creates an awareness-raising effect when it is examined through the selected scenario. In the last phase, phase 3, the manipulation is taken one step further and the attractor interaction is applied again while maintaining the shape of the model in phase 2. In this way, instead of growing or shrinking in the same way at the end of the cumulative progressive stages, the model undergoes a different formation process each time.