Difference between revisions of "Group20 Overview"
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| − | + | <font size = 20; color="#35C009"> Air Quality In Chinese Developed Cities</font> | |
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| − | [[ | + | [[Group20_Overview| <font color="#35C009">OVERVIEW</font>]] |
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| − | [[ | + | [[Group20_Proposal|<font color="#35C009">PROPOSAL</font>]] |
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==Key Objectives== | ==Key Objectives== | ||
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'''1) To visualize the trend of air quality of each city'''<br /> | '''1) To visualize the trend of air quality of each city'''<br /> | ||
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==Visualization Approach== | ==Visualization Approach== | ||
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* '''[[Our visualization will base on R Shiny and we will do the time series analysis and forecasting by using historical data to estimate air quality index in future.]]''' | * '''[[Our visualization will base on R Shiny and we will do the time series analysis and forecasting by using historical data to estimate air quality index in future.]]''' | ||
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| − | * '''[[In addition, we will explore whether the first-tier city only pursue high GDP and leave alone the air quality then trigger respiratory disease]]''' | + | * '''[[In addition, we will explore whether the first-tier city only pursue high GDP and leave alone the air quality then trigger respiratory disease]]''' |
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==Data Source== | ==Data Source== | ||
Latest revision as of 10:56, 13 August 2018
Air Quality In Chinese Developed Cities
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Abstract
Like other countries, China has to date followed a pattern of grow first, clean up later. Many developed cities have serious environment problems. Particularly, in 2015, Beijing had experienced heavy smog for 6 months and severe polluted days for more than 1 month. Everyone was talking about air quality and health. In recent years, government has put the green development in the first place, so dose our air quality become better?
Key Objectives
1) To visualize the trend of air quality of each city
2) To visualize main factors causing air pollution of each city
2) To discover the changing relationship between economic development and environmental pollution
2) To discover the relationship between air quality and residents' health
Project Timeline
| Task(s) | Week |
|---|---|
| Confirmation of topic, data-set and proposal | 7 |
| Email consultation with Prof Kam for feedback on proposal | 8 (18 Jun) |
| Sketch out visual analytics solution | 9 |
| F2F consultation with Prof Kam for feedback on sketch | 10 |
| Implementation of visual analytics solution using Tableau/R | 11 |
| F2F consultation with Prof Kam for feedback on progress/obstacles | 12 |
| Finalize the wiki report and poster | 13 |
| Poster presentation cum conference | 14 (14 Aug) |
Visualization Approach
Data Source
All these first-tier city AQI and responding date and some index contribute to API(PM2.5,PM10,SO2,CO,NO2,O3)(2014-2017).
GDP in those first tier city from 2014-2017.
Forest cover rate in the province of those cities.
Car number in those cities(2016-2017).
Total factory numbers in those cities.
Respiratory disease.
http://data.stats.gov.cn/easyquery.htm?cn=E0103
https://www.aqistudy.cn/historydata/
http://www.sc.stats.gov.cn/tjcbw/tjnj/2017/zk/indexch.ht
http://www.stats-hb.gov.cn/
http://www.bjstats.gov.cn/tjsj/
http://www.gzstats.gov.cn/tjsj/hgjjsjk/
http://www.gdstats.gov.cn/tjsj/zh/
http://tjj.zj.gov.cn/tjsj/ydsj/gy/
http://www.njtj.gov.cn/
http://www.cqtj.gov.cn/tjsj/sjjd/
http://stats.tj.gov.cn/
http://tj.jiangsu.gov.cn/
http://www.shaanxitj.gov.cn/
http://www.hntj.gov.cn/
http://www.ln.stats.gov.cn/
http://www.stats-sd.gov.cn/
http://www.ha.stats.gov.cn
