Difference between revisions of "RiskMappers Proposal"

From IS415-Geospatial Analytics for Business Intelligence
Jump to navigation Jump to search
Line 13: Line 13:
 
| style="font-family:Open Sans, Arial, sans-serif; font-size:15px; text-align: center; border-top:solid #ffffff; border-bottom:solid #e58824" width="210px" |  
 
| style="font-family:Open Sans, Arial, sans-serif; font-size:15px; text-align: center; border-top:solid #ffffff; border-bottom:solid #e58824" width="210px" |  
 
[[RiskMappers_Proposal|<font color="#3c3c3c"><strong>PROPOSAL 1</strong></font>]]
 
[[RiskMappers_Proposal|<font color="#3c3c3c"><strong>PROPOSAL 1</strong></font>]]
 
| style="font-family:Open Sans, Arial, sans-serif; font-size:15px; text-align: center; border-top:solid #ffffff; border-bottom:solid #f5f5f5" width="210px" |
 
[[RiskMappers_Proposal2|<font color="#3c3c3c"><strong>PROPOSAL 2</strong></font>]]
 
  
 
| style="font-family:Open Sans, Arial, sans-serif; font-size:15px; text-align: center; border-top:solid #ffffff; border-bottom:solid #f5f5f5" width="210px" |   
 
| style="font-family:Open Sans, Arial, sans-serif; font-size:15px; text-align: center; border-top:solid #ffffff; border-bottom:solid #f5f5f5" width="210px" |   

Revision as of 09:45, 19 March 2018



IS415-1819-RiskMappers-Logo.png



HOME

PROPOSAL 1

POSTER

APPLICATION

RESEARCH PAPER



PROJECT MOTIVATION
Jury

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)


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

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


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

SLA Cadastral Map

KML/SHP

https://data.gov.sg/dataset/sla-cadastral-map-index

Underground Line

KML/SHP

https://data.gov.sg/dataset/master-plan-2014-underground-line

Zika Cluster

KML/SHP

https://data.gov.sg/dataset/zika-cluster

Monument Site Boundary

KML/SHP

https://data.gov.sg/dataset/master-plan-2014-monument-site-boundary

Community Use Sites

KML/SHP

https://data.gov.sg/dataset/community-use-sites

Waste Disposal

KML/SHP

https://data.gov.sg/dataset/waste-disposal-site

Malaria Receptive Areas

KML/SHP

https://data.gov.sg/dataset/malaria-receptive-areas

Death Facilities

KML/SHP

https://data.gov.sg/dataset/after-death-facilities

CHAS Clinics

KML/SHP

https://data.gov.sg/dataset/chas-clinics

Licensed Vet Centres

KML/SHP

https://data.gov.sg/dataset/list-of-licensed-vet-centres?view_id=f48bdf47-17aa-401c-8a85-9e0998fcf9f8&resource_id=b2871270-4eef-44a3-be98-908e2a73b19f

Clinics (yellowpages)

Unformatted

http://www.yellowpages.com.sg/category/clinics

Hospital (yellowpages)

Unformatted

http://www.yellowpages.com.sg/category/hospitals

Petrol Station

Unformatted

http://www.sgcarmart.com/news/carpark_index.php?LOC=all&TYP=petrol

Flood List

Unformatted

https://www.pub.gov.sg/Documents/List%20of%20Flood%20Prone%20Areas%20in%20Singapore%20-%20May%202016.pdf

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)

IS415-1819-RiskMappers-Timeline.jpg



PROJECT REFERENCES TO RELATED WORK

Topographic Map Singapore (http://en-sg.topographic-map.com/places/Singapore-1331643/)

IS415-1819-RiskMappers-Reference4.jpg

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)

IS415-1819-RiskMappers-Reference2.jpg

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)

IS415-1819-RiskMappers-Reference3.jpg

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)


PROJECT STORYBOARD
IS415-1819-RiskMappers-Storyboard-Risk.jpg

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.


PROJECT PROTOTYPE
IS415-1819-RiskMappers-Prototype-Risk.jpg

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


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)

IS415-1819-RiskMappers-Technology.jpg


  • Leaflet
  • Open Street Map
  • Mircosoft Excel
  • Shiny
  • R Language
  • Digital Ocean


MEET OUR TEAM

Group 9: RISK MAPPERS

IS415-1819-RiskMappers-Mark.png IS415-1819-RiskMappers-Mallika.png IS415-1819-RiskMappers-Kai-yang.png


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. (:

No.

Name

Date

Comments

1.

Insert your Name here

Insert Date here

Insert Comment here

2.

Insert your Name here

Insert Date here

Insert Comment here

3.

Insert your Name here

Insert Date here

Insert Comment here