RiskMappers Proposal

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PROPOSAL 1

PROPOSAL 2

POSTER

APPLICATION

RESEARCH PAPER

PROJECT MOTIVATION

Issue 1 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), 2. Technological(explosives), 3. Natural or hydrological(floods), 4. Societal(epidemics)

Issue 2 We are all aware that we are susceptible to multiple types of risk at any given point in time. Since 2014, Singapore has been striving to achieve the vision of being a smart nation. This vision also includes the ability to respond to threats and risks in the most efficient and effective manner possible. It is for this reason that SGSecure was launched in 2016. One integral component of response time to risk is proximity to response institutions, such as Police Stations, Hospitals and Fire Stations. Therefore, for the purpose of this study, we would be analysing whether given your proximity to an institution that has a risk associated with it, the response institutions will be able to effectively and efficiently respond and attend to the threat. The response institutions are, 1. Hospitals, 2. Fire station, 3. Police Station,

PROJECT DIRECTION

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. Layers(so far) - Biological - Environmental - Social
Functionality	1. Visual Risk Analysis - With our visualization, users will be able to determine the possible risk exposure in each location. - Upon adding layers the increased overlapping areas will increase in color intensity. 2. Statistical Risk Analysis - Our visualization calculates the risk score based on *distance of each locale* from a potential risk point. - Users will be able to view user selected locales "risk score" to determine how much risk is each area exposed to.
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.

PROJECT OBJECTIVE

	Issue 1 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
	Issue 2 1. Identify and highlight the institutions that conduct activities that pose risks to society 2. Identify and highlight the institutions that could respond to these risks and their response limitations 3. Analyse and evaluate whether or not a risk can be responded to in a given time frame based on limitations such as coverage of response institutions

PROJECT DATA SOURCE

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 https://data.gov.sg/dataset/mp08-rail-line
Underground Line	KML/SHP	https://data.gov.sg/dataset/master-plan-2014-underground-line
Community Use Sites	KML/SHP	https://data.gov.sg/dataset/community-use-sites
Hospital	CSV	data retrieve from https://docs.onemap.sg/#onemap-rest-apis
Police Station	CSV	data retrieve from https://docs.onemap.sg/#onemap-rest-apis
Fire Station	CSV	data retrieve from https://docs.onemap.sg/#onemap-rest-apis
Primary/Secondary School	CSV	data retrieve from https://docs.onemap.sg/#onemap-rest-apis
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 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.

PROJECT TIMELINE AND MILESTONES

This a ROUGH timeline of our entire project. Milestones indicated are according to IS415 AY1718 Project Wiki Page (Detailed timeline will be updated)

PROJECT FUNCTION COMPLETION

Function	Developer	Expected Completion Date	Status
Required Working Files: Sorting of SHP/KML and CSV files (get required conversion if needed) for application	Kaiyang	Week 10	Done
Proposal 1: Conversion of Shape File to Raster Data	Kaiyang	Week 10	Delayed (due to required to complete of other module's work)
Proposal 1: Linking required variables from Server code to UI code	Kaiyang	Week 11	In Progress
Proposal 1: Calculation of Raster Data to show heatmap on Singapore Map	Kaiyang	Week 11	In Progress
Proposal 1: Mapping Data onto Leaflet	Kaiyang	Week 11	In Progress
Proposal 1: Integrating Code with UI	Kaiyang	Week 12	Not yet started
User Guide: R Markdown User Guide	Kaiyang	Week 12	Not yet started
Proposal 2: Testing One Map API to extract location data	Mark	Week 10	Done
Proposal 2: Conversion of One Map CSV data to Spatial data for mapping	Mark	Week 10	Done
Proposal 2: Calculate route distance and timing of Risk from K Nearest Neighbour of the Response layer	Mark	Week 11	In Progress
Proposal 2: One Map API Extraction of Location Data to CSV files	Mark	Week 11	In Progress
Proposal 2: Mapping data onto Leaflet Map	Mark	Week 11	In Progress
Proposal 2: Linking required variables from Server code to UI code	Mark	Week 12	In Progress
Proposal 2: Integrating Code with UI	Mark	Week 12	Not yet started
User Interface: Number Sliders (for buffering / proximity timing), Dropdownlist (for Color, Basemap)	Mallika	Week 10	Done
User Interface: Set up observation on R Server Code	Mallika	Week 10	Done
Backend: Pre-loading of SHP/KML/CSV files to the server	Mallika	Week 11	In progress
User Interface: Set up dynamic input/output and link with Map	Mallika	Week 11	In progress
User Interface: Home Page to explain the project's goals and descriptions	Mallika	Week 11	Not yet started
Server Development	Mallika	Week 12	Not yet started
Server Debugging	Mallika	Week 12	Not yet started

PROJECT REFERENCES TO RELATED WORK

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. Maybe create intensity of the risk (Idea just for now. Might not use)

Shiny Example (http://shiny.rstudio.com/gallery/superzip-example.html)

Using this as a reference to create R shiny map.

Distance Length Mapping (https://rstudio.github.io/leaflet/shiny.html)

Using this as a reference to create setting for response time estimation.

PROJECT STORYBOARD

Proposal 1

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.

Proposal 2

Our team plans to create a dashboard for our users to run an analysis on different government bodied (Hospital, Police Station, Fire Station, etc) location and their ability to respond to emergency events at certain high risk location. User will be able to select a specific government body, response time and risk location to reach.

PROJECT PROTOTYPE

Proposal 1

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

Proposal 2

Our team plans to create a dashboard for our users to run an analysis on different government bodied (Hospital, Police Station, Fire Station, etc) location and their ability to respond to emergency events at certain high risk location. User will be able to select a specific government body, response time and risk location to reach.

PROJECT KEY CHALLENGES

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)

PROJECT TOOLS AND TECHNOLOGIES

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

MEET OUR TEAM

Group 9: RISK MAPPERS

REFERENCES

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	http://en-sg.topographic-map.com/places/Singapore-1331643/
4.	Shiny Widget	https://shiny.rstudio.com/gallery/widget-gallery.html
5.	Shiny Dashboard	https://rstudio.github.io/shinydashboard/ https://www.rstudio.com/resources/webinars/dynamic-dashboards-with-shiny/

COMMENTS

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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