NUSHJC Team 1
Pinxi, Sahad, Shashvat
Are there trends in data collection?
The graph above shows the distribution of the amount of data collected over time The standard deviation of the distribution is 1.26 which is 30% of the mean of 4.23 suggesting that the number of sensor hours is very spread out. Also, 30 hours of data was collected from 7 PM to 7 AM, and 85 hours collected from 7 AM to 7 PM. This means that roughly 25% of the collected data is unusable as the students were told to collect data from 7AM to 7PM.
Graph of Sensor Hours against Time
The web map on the left shows the density distribution of where data was collected in Bishan Park by the SENSg data. Upon inspection of the webmap, we find the darkest region to be at the vicinity of a air-conditioned eatery which we suspect to be McDonald's. We believe that the students went to the eatery to take a break, and while they were the sensor was left on and it was still collecting data. Also, we can observe that areas near walkways and buildings show greater density. Also, many students tend to choose spots near shelters because it is more convenient as they can shelter themselves from sunlight or rain.
The web map on the left shows the density distribution of where data was collected in Bishan Park by the GeoSense data. Compared to the SENSg density distribution, GeoSense appears to have a more clustered distribution, possibly because participants placed the GeoSense at a spot for longer periods as compared to the SENSg which participants walked around with.
SENSg Sensor location density web map
url: http://sgc2015.maps.arcgis.com/apps/Viewer/index.htmlappid=60f100b5611f415cad04d8664e6be359
GeoSense Sensor location density web map
url: http://sgc2015.maps.arcgis.com/apps/Viewer/index.htmlappid=691f73bc00cd4b8ca4036ad20303e42c