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Investigate an invisible phenomenon in Stadionbrache by recording sensor data in those spaces. Briefly analyse your findings and visualise the results for the class.
Exercise 1: Recording
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Hook up a sensor of your choice to the MKR1310 and record the data using examples on the Github. Feel free to use the environmental combo, which is already set up in the example.
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Analyse the sensor data and choose an appropriate visualization. This can be done through an analog sketch or with digital tools. Use the JsonAverageValues processing Processing sketch to get a quick average of the values from one place.
What can you conclude about the spaces that were not immediately visible?
On what time scale do the phenomena vary and to what extent do humans interact with these phenomena? What leverage points exist to modify this phenomenon?
What is an appropriate means of making this phenomenon perceptible?
What leverage points exist to modify this phenomenon?