Difference between revisions of "RiskMappers Proposal"
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<b>Functionality</b> | <b>Functionality</b> | ||
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+ | 1. Visual Risk Analysis<br><br> | ||
- With our visualization, users will be able to determine the possible risk exposure in each location | - With our visualization, users will be able to determine the possible risk exposure in each location | ||
<br>- Upon adding layers the increased overlapping areas will increase in color intensity | <br>- Upon adding layers the increased overlapping areas will increase in color intensity | ||
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− | + | 2. Statistical Risk Analysis<br><br> | |
− | < | + | - Our visualization calculates the risk score based on *distance of each locale* from a potential risk point |
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− | - Our visualization calculates the risk score based on | ||
<br>- Users will be able to view user selected locales "risk score" to determine how much risk is each area exposed to | <br>- Users will be able to view user selected locales "risk score" to determine how much risk is each area exposed to | ||
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http://www.yellowpages.com.sg/category/clinics | http://www.yellowpages.com.sg/category/clinics | ||
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+ | Hospital (yellowpages) | ||
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+ | Unformatted | ||
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+ | http://www.yellowpages.com.sg/category/hospitals | ||
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− | Our team is still searching online for more available datasets | + | Our team is still searching online for more available datasets. Unformatted Data are placed because we require those information however we are yet to find a proper KML file for those. |
</div> | </div> | ||
Revision as of 22:12, 4 February 2018
Risk and hazard are terms commonly used to describe aspects of the potential for harm caused by environmental factors and other agents. Since 2014, Singapore has been striving to achieve the vision of being a smart nation. The most integral step in this direction is the analysis and assessment of risk, for it is only by doing so that we can build a healthy, safe and prepared smart nation. After all the steps taken by the Singaporean government and society to be more risk-free, it is important to understand our vulnerability - in terms of dominant contributing factors, location and key institutions that could potentially be affected by these risks. "Risk" is an umbrella term that could cover a number of topics and factors. It could even span industries. Therefore for the purpose of this study, we will define the boundaries of our risk assessment according to 4 agents of risk namely, 1. Biological(biohazards), |
Geographical Risk Analysis |
Each layer represents a specific area of risk which certain institutions pose to an individual. By including each layer it allows users to visualize possible risks in each locale.
|
Functionality |
1. Visual Risk Analysis |
Usage |
Our visualization allows users to visualize how much potential risk each area is exposed to. From this information, we hope to aid in Singapore's goals of Smart City planning to take into consideration more than just ease of access to the population but also taking into account risks of different institutions and the risks that they will pose to inhabitants. |
1. Identify and highlight the institutions that conduct activities that pose risks to society
2. Analyse and evaluate the risks associated with that risk or hazard
3. Analyse and evaluate thereafter, the risks associated with specific regions and locations in Singapore
For now, our team's datasets are retrieved from https://data.gov.sg
Title |
Format |
Website Link |
Rail Stations and Line |
KML/SHP |
https://data.gov.sg/dataset/mp08-rail-station
|
Zika Cluster |
KML/SHP |
|
Waste Disposal |
KML/SHP |
|
Malaria Receptive Areas |
KML/SHP |
|
Death Facilities |
KML/SHP |
|
CHAS Clinics |
KML/SHP |
|
Licensed Vet Centres |
KML/SHP |
|
Clinics (yellowpages) |
Unformatted |
|
Hospital (yellowpages) |
Unformatted |
|
Petrol Station |
Unformatted |
http://www.sgcarmart.com/news/carpark_index.php?LOC=all&TYP=petrol |
Our team is still searching online for more available datasets. Unformatted Data are placed because we require those information however we are yet to find a proper KML file for those.
This a ROUGH timeline of our entire project. Milestones indicated are according to IS415 AY1718 Project Wiki Page (Detailed timeline will be updated)
Topographic Map Singapore (http://en-sg.topographic-map.com/places/Singapore-1331643/) |
Using this as a reference to create a risk intensity map of the entire singapore based on the locations of the particular high risk structure and its risk factors |
Dengue Outbreak Mapping (http://outbreak.sgcharts.com) |
Using this as a reference to create a small heatwave-like distance buffer to allow user to see how much risk each location is |
Weather Mapping (http://www.weather.gov.sg/weather-rain-area-50km) |
Using this as a reference to create each different risk in different colors. Adding tabs to allow filters in between risk based on conditions.
|
Inexperienced with QGIS
- Self learning through youtube and practices.
- Ask Prof Kam for help
- Peer to peer learning
Lack of Data
- Google is our best friend
- Ask around (peers) for website advices
Data cleaning and transformation
- Team effort
- Documentation to keep track of changes.
Misunderstanding and Misinterreptation of Project
- Constant meeting with Prof Kam
- Constant team meeting (every monday 12pm-1pm).
The following are tools and technologies that our team currently believes that we will be using (to be updated)
- Leaflet
- Open Street Map
- Mircosoft Excel
- Shiny
- R Language
To be updated
We appreciate and cherish all comments. If you have any suggestion on how to improve our project. Please help us by keying in your name and comment. Don't worry, we want to know your name so that we can thank you and ask for more details. And we don't bite. (:
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