8/7/2019 08 Sentient Cities

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08  -  Water cycle on a flat map

6334:  Sentient Cities as Cybernetic, Real-time, Control Systems: Theory and Practice of Urban Sensing

8/7/2019 08 Sentient Cities

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08  -  Water cycle on a flat map

6334:  Sentient Cities as Cybernetic, Real-time, Control Systems: Theory and Practice of Urban Sensing

description:

water cycle  across the globe

8/7/2019 08 Sentient Cities

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08  -  Water cycle on a flat map

6334:  Sentient Cities as Cybernetic, Real-time, Control Systems: Theory and Practice of Urban Sensing

description:

1. How was the data collected? 

The data is collected utilizing NASA’s GEOS-5 System2. Why was the data collected?  The information is collected to gather the hollistic view of the water cycle across the globe, and how intereconnected the data of various locations is.3. What is interesting about the data?  often we are given weather data in a localized or from a nationalistic view. this data utilizes all of the information across the globe, and begins to de4. What stories about urban dynamics can the collected data tell?

this data looks more at global dynamics rather than particular global dynamics5. What sort of questions about urban dynamics can be answered by looking at the data?  interconnectivity of surrounding and adjacent places6. Who is the target audience of the data visualization?

  scientists, aeronautic engineers7. What are the audience’s goals when approaching the visualization?  looking for patterns and how there is variablity and similarity within the water cycles on the globe8. What do they stand to learn?

  quantities and concentration of evaporation, and water vapor on a global scale9. What sort of control are they offered over the interface that delivers the information?  the control is based on NASA’s GEOS-5 system

10. How is the question of the magnitude of the data dealt with limiting the collected data, limiting the dimensionsons in the data set to be represented, or abstractingthe data?  -11. How does the original question to be addressed operate as the bench mark for eliminating unnecessary details in the data visualization?

  -12.  How are the particular patterns highlighted through visualization techqniques in order of their importance?  they are defined through varying the display and colors of the data being described (water vapor, evaporation, precipitation)13. Is the data of static or dynamic in nature?

  dynamic14. If the data is dynamic in nature, what happens when it starts to change? how does the audience interact with this ‘live’ data? How is the data that changes overtime unraveled?

  The data is constantly change as the jet stream moves the moisture from one region of the world to another region

queries