Instructor: James Melsom + Luis Fraguada
Using sensors, abstract data sources and geo-locations, visualization of the dynamic performance of the site was fed into our ongoing Synthesis projects. A combination of Grasshopper (Rhino), Processing, Arduino, and other scripting methods, as well as a measure of on-site improvisation.
During the final presentation, held on the 16th of April, the students presented the development of their projects, demonstrating sensory measurements, and developed tools as well as their applications to design.
Following the trace of the old river, near the conservational area, they collected data concerning humidity, luminosity, temperature and soil moisture of the area. The data analysis helped them understand the correlation between changes in vegetation, topography and temperature and also offered crucial information about future design approaches, especially in terms of vegetation.
Student :Gaganjit Singh
Gagan was interested in designing an application that allows you to map the photos you take during a walk, and visualize them in a 3D environment such as Rhino. He used Grasshopper to combine the data from the photos, the gps track, the angle and the direction of the camera. In the end he was able to simulate a walk in Rhino, placing the photos in 3D view, along the gps path.
Alex and George tried to analyse data they received from the canton, concerning geology and the several layers of different soil elements, next to the canal and the big highway. After the analysis, they visualized their results with grasshopper and projected them into the topography, via Google Earth.
Student: Mohamed Abdel Wahab
Following the edge of his specific area of study, Mohamed used the soil moisture sensor to collect ground humidity data. The analysis of the data led him to a better understanding of the correlation between vegetation, topography and ground moisture. He used Rhino and Grasshopper to visualize the results of his data analysis.
Maki and Gebi focused on a specific area of the Linth canal. They measured the hydroelectric power produced by the Linth, the fluctuation of the canal and the water temperature during the year. To collect the needed data, they used a flying drone (to photoscan the specific area of study) and a water speed measuring boat inside the canal. Finally they visualized their data using Rhino and the Grasshopper plugin.
part A: Accoustic Doppler Current Profiler, tethered boat
part B: Linth simulation
part C: UAV mapping, photogrammetry
Sofia and Jaqueline took several readings in the area next to the Zurich Lake, using sensors that mesure temperature, lux and humidity. They analyzed the collected data, combined it with Bafu data and visualized it using Rhino 3D design and different video techniques. They also tried to optimize the existing and future designed pathways, connecting the specific area of the valley.