GeoDesign (SGC) |
SENSOR DATA filtering
As part of SGC2015, environmental sensor data, including temperature, humidity, noise, light and carbon monoxide levels was collected by secondary and tertiary participants. In the interest of exploring the factors affecting the number and location of people “hanging out” (ie choosing to remain at a particular spot) in parks on weekends, environmental data was used in this spatial analysis. Of specific interest was temperature, humidity and light data, as we anticipated that these factors would more likely implicate park visitors’ experience and location choices.
Temperature
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Humidity
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There was a two-fold utilization of environmental data; Temperature and Humidity. First, in attempts to see if environmental factors affect such “hanging out”, we examined if there was any correlation between environmental factors and park visitor locations. Second, environmental data (temperature and humidity), tree girth, as well as locational popularity among visitors, was used to select “best spots” to hang out in the park. These best spots are recommended to potential park visitors, and can be seen on Storymaps.
Noise
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Light
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Carbon Monoxide
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Noise data was not included due to inconsistencies between weekday and weekend data, with the limited spatial extent of weekend data, as well as the occurrence of one-off events during the data collection period.
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Light data from secondary institutes was excluded, as the light values obtained from both tertiary and secondary institutes were starkly different.
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Carbon monoxide data was not used in our analysis due to the limited spatial extent of the data collected by tertiary institutes.
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