Difference between revisions of "ISSS608 2017-18 T3 Assignment SHI CHEN Visualization"
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Time division: In this case, time periods are divided into two, one is 1998-2013 so called “earlier years”, another is 2014-2017, which is “recent year”. | Time division: In this case, time periods are divided into two, one is 1998-2013 so called “earlier years”, another is 2014-2017, which is “recent year”. | ||
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Based on the total chemical value in these streams throughout the past available years, as the year changes, the material content of the river shows an upward trend, with 2003 being the most serious year. | Based on the total chemical value in these streams throughout the past available years, as the year changes, the material content of the river shows an upward trend, with 2003 being the most serious year. | ||
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<font color = "#B1980A">Presumably2</font>: Since Achara, Decha and Tansanee were added as observation station since 2009, it can be roughly speculated that these three location could be seen as dumping area too, since the chemical value in 2009 were much higher than other location in the same year. And the hydrological department added these three observation points in order to obtain a more accurate source of pollution. | <font color = "#B1980A">Presumably2</font>: Since Achara, Decha and Tansanee were added as observation station since 2009, it can be roughly speculated that these three location could be seen as dumping area too, since the chemical value in 2009 were much higher than other location in the same year. And the hydrological department added these three observation points in order to obtain a more accurate source of pollution. | ||
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| + | === What are the abnormal chemicals in each location? Whether this anomaly is a normal periodic fluctuation or is related to the dumping of pollutants? === | ||
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| + | (Pic 3-2) | ||
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| + | This scatter plot graph has been shown in the front dashboard design section. Now it can be used to see which chemicals have higher volatility and how did they fluctuate. | ||
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| + | === What is the anomaly distribution throughout the years in different locations? === | ||
| + | |||
| + | Taking Path 1 as an example: | ||
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| + | (pic 3-3) | ||
| + | (pic 3-4) | ||
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| + | When do filtering, let’s say if choosing z-score with larger than 2. It will be clearer to see the anomaly chemicals distribution. | ||
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| + | (pic) | ||
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| + | Earlier year, it showed that in 1999 and 2000, there were quite a lot chemical with greater volatility. | ||
| + | |||
| + | === What happened to 2013? === | ||
Revision as of 15:08, 7 July 2018
VAST Challenge 2018: Trying to be an environmental detective
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Contents
- 1 Exploration Process
- 1.1 What is the overall chemical level in past 18 years?
- 1.2 What are the abnormal chemicals in each location? Whether this anomaly is a normal periodic fluctuation or is related to the dumping of pollutants?
- 1.3 What is the anomaly distribution throughout the years in different locations?
- 1.4 What happened to 2013?
Exploration Process
What is the overall chemical level in past 18 years?
Time division: In this case, time periods are divided into two, one is 1998-2013 so called “earlier years”, another is 2014-2017, which is “recent year”.
Based on the total chemical value in these streams throughout the past available years, as the year changes, the material content of the river shows an upward trend, with 2003 being the most serious year.
Looking closely, in earlier period of years, location Kohsoom, Busarakhan, Somchair had the higher chemical value, and Boonsri, Chai, and Sakda are lower. In recent years, chemical monitoring levels have declined in almost all locations, with the exception of the location Tansanee, the chemical content of this location has been at a high level.
Presumably1: Based on this situation, we can temporarily speculate that location Kohsoom, Busarakhan, Somchair may be subject to serious pollution in 2013, especially for the Kohsoom location.
Presumably2: Since Achara, Decha and Tansanee were added as observation station since 2009, it can be roughly speculated that these three location could be seen as dumping area too, since the chemical value in 2009 were much higher than other location in the same year. And the hydrological department added these three observation points in order to obtain a more accurate source of pollution.
(Pic 3-2)
This scatter plot graph has been shown in the front dashboard design section. Now it can be used to see which chemicals have higher volatility and how did they fluctuate.
What is the anomaly distribution throughout the years in different locations?
Taking Path 1 as an example:
(pic 3-3) (pic 3-4)
When do filtering, let’s say if choosing z-score with larger than 2. It will be clearer to see the anomaly chemicals distribution.
(pic)
Earlier year, it showed that in 1999 and 2000, there were quite a lot chemical with greater volatility.
