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Research Scenarios

  1. TBD
  2. TBD

Data Use Cases

You can view the PPT slides with template, straw-man examples, and rough Dose of Nature example.

NameLocation (Ideally a URL)Formats (Commas separated list)Desired Derived Data or Metadata

Software used

(out of box, or group created software/scripts, etc.)

Scenario
(# from above)		Notes
 Group hard drives, cloud storage (https://box.illinois.edu/)
 or dropbox

Excel - *.xls, *.csv Matlab- *.mat,

R - *.Rdata,

Image file - *.png, *.jpg,*.tiff

Video file - *.mp4

Numpy file - *.npy

Video bounding box files - *,vbb

Shape information

Color,

physiological states, preference matrix, texture, geographic location of GI		Python, R, Matlab, Javascript

 

 
Does of NatureGroup hard drive

SPSS - *.sav

Excel -  *.xlsx

Image file - *.jpg, *.png

Video file - *.mp4

 

Tree cover density from aerial and panoramic eye-level photos;
Perceived eye-level tree cover;
Landscape preference;
Self-reported stress;
Physiological measures of stress from skin conductance and temperature,heart rate variability, and blood pulse volume;
Hormonal measure of stress from salivary cortisol.

Google Earth, Photoshop (histogram function), SPSS, EXCEL

Scenario # 1: Tony, a psychologist, is interested in people’s preference for the neighborhood with different tree cover densities. He has calculated the tree cover density with panoramic and Google Earth photographs, and developed a photograph-survey using a Likert scale. Tony wants to figure out the relationship between greenness and preference with regression analysis. 

Scenario # 2: Lydia is a PhD student in public health research. She is interested in the effects of Green Infrastructure on human well-beings. Now Lydia starts her study with self-reported stress recovery of people who participated in an experiment to view pictures and videos with different level of greenness.   

 
       

 

 

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