Two sets of data were used in order to understand their common/meeting places.
The data was then visualized in order to get a better understanding of the locations commonly visited in both the tracks.
Track 1 – Red
Track 2- Blue
Overlap -Cyan Read More
An emotionally self-managed city:
A few years ago, was released a device able to measure human emotions. They were red directly from human brain. The challenge was to be able to visualize and geolocate the emotional data, for mapping the cities, extracting the information directly from the citizens mind, without the necessity of using analytic algorithms to process SMS or instant text messages, form Social Networks. S.I.S.T.E.M.A is the name of an Artificial Urban Intelligence, who is able to monitor the emotional state of all the citizens connected to its network. In this way we could notice how the people actually sense the city, and obtain priceless information for mapping the space, which could be useful for: EMOTIONAL EVALUATION of city areas, NEUROMAKETING, for predicting the feelings that URBAN DESIGN would produce in the inhabitants , and for establishing criteria to place and set ARCHITECTURAL ELEMENTS and ACTIVITIES in the city streets.
[[[ I uploaded this material from my Thesis to show that I already have the skills that allow me to understand how data can be geolocated, in order to map a city according to different inforamtion sources. This material at the same time fullfill all the requierements of the assigned task. // Self- Stalking // Data visualization //GPS tracking ]]]
Emotional Data
