figure 3 Market Square Microclimatic Mapping After data was collected it was mapped using GIS, Rhino and Grasshopper. The survey was conducted in a series of linear transects through key locations in and around the site. In this preliminary data mapping, color gradient points and their corresponding circle diameters represent the temperature measurements, and the arrows indicate wind direction and speed.
sensory space comprehension Bodies and weather instruments can both sense, but where instruments measure and collect data, bodies adjust, react and comprehend in real time. Instruments extract and isolate singular climate factors, bodies process multiple inputs at once and immediately compress them into a reading of comfort and space: our sensory impression is simultaneously qualitative and dimensional. These capabilities can be complimentary, but when they differ in the field, the complexity of our multi-sensory systems becomes legible. As an example, in the surveys of Market Square ( figures 3 and 4 ), I often found that I disagreed with the temperature readings of the Kestrel weather meter that I was using, but in these disagreements I formed a clearer understanding of how multiple dynamic factors affected my own inner feeling of temperature.
all images: Suzanne Mathew
figure 4 Market Square Atmospheric Projection
This drawing uses the first mapping as a reference to render the spatial temperature gradients in the square. Tall canopy trees and the projected building shade create intermediate temperature zones between the river (left) and road (right).
on site review 39: Tools 20
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