Difference between revisions of "ISSS608 2017-18 T1 Assign WANG YUCHEN Data Processing"
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(Created page with " <font size="5">'''To be a Visual Detective'''</font> =Geospatial and Microblogging - Characterization of an Epidemic Spread = The given datasests involved maps, weather and...") |
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+ | <div style=background:#2B3856 border:#A3BFB1> | ||
+ | [[Image:EPIDEMIC.png|280px]] | ||
+ | <font size = 5; color="#FFFFFF">Smartpolis Epidemic Outbreak </font> | ||
+ | <font size = 5; color="#FFFFFF">| Visual Detective </font> | ||
+ | </div> | ||
+ | <!--MAIN HEADER --> | ||
+ | {|style="background-color:#1B338F;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | ||
+ | | style="font-family:Century Gothic; font-size:100%; solid #000000; background:#2B3856; text-align:center;" width="25%" | | ||
+ | ; | ||
+ | [[ISSS608 2017-18 T1 Assign WANG YUCHEN| <font color="#FFFFFF">Background</font>]] | ||
+ | | style="font-family:Century Gothic; font-size:100%; solid #000000; background:#2B3856; text-align:center;" width="25%" | | ||
+ | ; | ||
+ | [[ISSS608 2017-18 T1 Assign WANG YUCHEN_Data Processing| <font color="#FFFFFF">Data Processing</font>]] | ||
+ | |||
+ | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#2B3856; text-align:center;" width="25%" | | ||
+ | ; | ||
+ | [[ISSS608 2017-18 T1 Assign WANG YUCHEN_Origin and Epidemic Spread| <font color="#FFFFFF">Origin and Epidemic Spread | ||
+ | </font>]] | ||
+ | |||
+ | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#2B3856; text-align:center;" width="25%" | | ||
+ | ; | ||
+ | [[ISSS608 2017-18 T1 Assign WANG YUCHEN_Epidemic Spread| <font color="#FFFFFF">Epidemic Spread</font>]] | ||
+ | |||
+ | | | ||
+ | |} | ||
+ | <br/> | ||
<font size="5">'''To be a Visual Detective'''</font> | <font size="5">'''To be a Visual Detective'''</font> | ||
− | =Geospatial and | + | =Geospatial and Text Data - Detecting an Epidemic Spread = |
− | The given | + | ===Datasets=== |
− | + | The given datasets involved map, weather and population information of smartpolis, while the main dataset for our analysis is the microblog dataset, which contains | |
− | geospatial and text data gathered from | + | geospatial and text data gathered from tweets. |
− | + | ||
− | + | Through mapping the tweets information with geospatial data in the map, we can figure out the symptom of the epidemic. The weather information also helps us detect the infection of the epidemic, whether it is airborne, waterborne, person-to-person, or something else? | |
− | + | ||
− | + | ===Process of study=== | |
− | + | * Text explorer of the tweets by date to figure out symptoms and details which characterize the outbreaks | |
− | + | * Filter out unrelated tweets and map the informative tweets with geospatial data to trail the spread of epdemic | |
− | + | * Drill down the trends of the texts through visualization tools to solve the illnesses | |
− | |||
− |
Revision as of 22:37, 15 October 2017
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To be a Visual Detective
Geospatial and Text Data - Detecting an Epidemic Spread
Datasets
The given datasets involved map, weather and population information of smartpolis, while the main dataset for our analysis is the microblog dataset, which contains geospatial and text data gathered from tweets.
Through mapping the tweets information with geospatial data in the map, we can figure out the symptom of the epidemic. The weather information also helps us detect the infection of the epidemic, whether it is airborne, waterborne, person-to-person, or something else?
Process of study
- Text explorer of the tweets by date to figure out symptoms and details which characterize the outbreaks
- Filter out unrelated tweets and map the informative tweets with geospatial data to trail the spread of epdemic
- Drill down the trends of the texts through visualization tools to solve the illnesses