Difference between revisions of "RiskMappers Proposal"
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Revision as of 10:46, 19 March 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 comprehend 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 not only ease of access to the population but also the risk different institutions 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
Function |
Developer |
Status |
Proposal 1: Importing and Setting Shape Files into the Correct Format |
Kaiyang |
Done |
Proposal 1: project the Shape File onto Leaflet Map |
Kaiyang |
Done |
Proposal 1: Create variables for buffering distance, color, base map |
Kaiyang |
Done |
Proposal 1: Integrating Code with UI |
Kaiyang |
Not yet started |
Proposal 2: Importing and Setting Shape Files into the Correct Format |
Mark |
Done |
Proposal 2: project the Shape File onto Leaflet Map |
Mark |
Done |
Proposal 2: Calculate route distance and timing of Risk from K Nearest Neighbour of the Reponse layer |
Mark |
In Progress |
Proposal 2: Create variables for proximity timing, color, base map |
Mark |
In Progress |
Proposal 2: Integrating Code with UI |
Mark |
Not yet started |
User Interface: Number Sliders (for buffering / proximity timing), Dropdownlist (for Color, Basemap) |
Mallika |
Done |
User Interface: Set up observation on R Server Code |
Mallika |
Done |
User Interface: Set up map on R UI Code |
Mallika |
Done |
User Interface: Home Page to explain project and how to use |
Mallika |
In Progress |
Server Development |
Mallika |
Not yet started |
Our team is still searching online for more available datasets. Unformatted Data are in different formats (For example, Excel Format). We placed them as part of our data because we require some of the information inside the data. Our team will be doing data cleaning / data transformation on data do not have a proper KML/SHP file format.
This a ROUGH timeline of our entire project. Milestones indicated are according to IS415 AY1718 Project Wiki Page (Detailed timeline will be updated)
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
|
SLA Cadastral Map |
KML/SHP |
|
Underground Line |
KML/SHP |
https://data.gov.sg/dataset/master-plan-2014-underground-line |
Zika Cluster |
KML/SHP |
|
Monument Site Boundary |
KML/SHP |
https://data.gov.sg/dataset/master-plan-2014-monument-site-boundary |
Community Use Sites |
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 |
Flood List |
Unformatted |
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 colored distance buffer for user to know if a location that user chose is beside a risk location. |
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 checkboxes to allow filters in between risk based on conditions.
|
Our team plans to create a dashboard for our users to run an analysis on different risk factors and how it cause to some of Singapore key locations (Such as potential Terrorist attacks on MRT Stations) and how these risk locations can affect other locations nearby such as (Government Sectors location, MRT Stations, Schools, etc). User will be able to choose the specific risk type, potential risk locations, potential nearby locations that might be affected as well as set the buffer size for the risk identified. |
Our team plans to create a dashboard for our users to run an analysis on different risk factors and how it cause to some of Singapore key locations (Such as potential Terrorist attacks on MRT Stations) and how these risk locations can affect other locations nearby such as (Government Sectors location, MRT Stations, Schools, etc). User will be able to choose the specific risk type, potential risk locations, potential nearby locations that might be affected as well as set the buffer size for the risk identified. You may download our HTML file here, https://drive.google.com/file/d/1Lh5BZ8vJY7OM-P5F2Fcpz19wg4oWSzG6/view?usp=sharing |
No. |
Key Technical Challenges |
Description |
Proposed Solution |
Outcome |
1. |
Unfamiliarity with R |
The team plans on using R and creating an R dashboard for the project. |
- Initial hands-on experience during class - DataCamp course on R shiny and geospatial analysis - Independent learning on R - Independent learning on R - Peer learning and sharing |
(Add Later) |
2. |
Data Cleaning and Transformation |
The data collected is generally in different formats. The scales of the data, the coordinate reference system etc. may all be different. |
Having a systematic process while working together in order to maximise efficiency e.g. taking turns to clean, transform and perform checks on the data to ensure accuracy. |
(Add Later) |
3. |
Integrating Relevant Data from Multiple Sources |
Narrowing down data collected to what is relevant to our project is imperative before we can begin its analysis. |
Working together and meeting up to understand and decide on what data to extract, to analyse or to reject. |
(Add Later) |
4. |
Information Presentation |
Determining the most effective way to visualise and display the data in an interactive format is of essence. It is necessary that the most important information is easily discernible from the map. |
Gain exposure to different mapping techniques. Follow and revisit techniqes explored in class Also look at datacamp courses. |
(Add Later) |
The following are the tools and technologies that our team currently aims on using (to be updated)
- Leaflet
- Open Street Map
- Mircosoft Excel
- Shiny
- R Language
- Digital Ocean
No. |
Website Name |
URL |
1. |
Innovative Solutions for a Smart City |
https://www.smartnation.sg/resources/innovative-solutions-for-a-smart-city |
2. |
Smart Nation Leveraging on Technology to Improve our Urban Environment |
https://www.smartnation.sg/initiatives/Living/leveraging-technology-to-improve-our-urban-environment |
3. |
Topographic Map |
|
4. |
Shiny Widget |
|
5. |
Shiny Dashboard |
https://rstudio.github.io/shinydashboard/ https://www.rstudio.com/resources/webinars/dynamic-dashboards-with-shiny/ |
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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Comments |
1. |
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