Difference between revisions of "1718t2is415T2 Proposal"

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[[1718t2is415T2_G3_MyHawker__Home|<font color="#3c3c3c"><strong>Home</strong></font>]]
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[[Centroid-Amenities_ProjectDetails|<font color="#fc9272" size=3><b>Project Details</b></font>]]
  
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[[Centroid-Amenities_ProjectApplication |<font color="#C9061C" size=3><b>Project Application</b></font>]]
  
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[[1718t2is415T2_G3_MyHawker_ProjectApplication|<font color="#3c3c3c"><strong>Project Application</strong></font>]]
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[[Centroid-Amenities_ResearchPaper |<font color="#C9061C" size=3><b>Research Paper</b></font>]]
  
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[[1718t2is415T2_G3MyHawker_ProjectResearchPaper|<font color="#3c3c3c"><strong>Project Research Paper</strong></font>]]
 
  
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<b>TBC</b><br>
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<b>By 2030, Singapore’s Department of Statistics purports that nearly 1 in 3 Singaporeans will be over the age of 65, and will be in need of some form of eldercare. In the face on the oncoming ‘Silver Tsunami’, it is important that we rethink the placement and accessibility of our gerontological and palliative facilities, so Singaporeans can have access to the care that they need.
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Many existing eldercare facilities are located in the fringes of new town suburbs, and often near regional hospitals which are often further and less accessible from residential areas where the elderly would be.
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Our project posits that future eldercare facilities would be better positioned within the heartlands, to better serve an aging community. In this, we hope to equip town planners and eldercare facility administrators with the tools decide where best to place eldercare facilities.
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<div style="margin:0px; padding: 10px; background: #f2f4f4; font-family: Open Sans, Arial, sans-serif; border-radius: 7px; text-align:left">
<b>TBC</b><br>
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<b>The goal of this project would be to build a GIS tool (an R Shiny app), to help administrators determine where best to put eldercare amenities based on a geographical cluster analysis as determined by k-means clustering. </b><br>
 
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<div style="background: #66ff99; padding: 20px; line-height: 0.3em; text-indent: 16px;letter-spacing:0.1em;font-size:26px"><font color=#fbfcfd face="Bebas Neue">Data Sources</font></div>
 
<div style="background: #66ff99; padding: 20px; line-height: 0.3em; text-indent: 16px;letter-spacing:0.1em;font-size:26px"><font color=#fbfcfd face="Bebas Neue">Data Sources</font></div>
 
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<div style="margin:0px; padding: 10px; background: #f2f4f4; font-family: Open Sans, Arial, sans-serif; border-radius: 7px; text-align:left">
<b>TBC</b><br>
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<th> Data </th>
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<th> Source </th>
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<th> Data Type/Method
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<td> Population Data </td>
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<td> Singstat.gov.sg </td>
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<td> .csv
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</td></tr>
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<td> OSM Layer (Singapore) </td>
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<td> OpenStreet Map  </td>
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<td> SHP
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<td> Masterplan 2008 </td>
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<td> data.gov.sg </td>
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<td> SHP
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</b><br>
 
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<div style="background: #66ff99; padding: 20px; line-height: 0.3em; text-indent: 16px;letter-spacing:0.1em;font-size:26px"><font color=#fbfcfd face="Bebas Neue">Timeline and Milestones</font></div>
 
<div style="margin:0px; padding: 10px; background: #f2f4f4; font-family: Open Sans, Arial, sans-serif; border-radius: 7px; text-align:left">
 
<b>TBC</b><br>
 
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<div style="background: #66ff99; padding: 20px; line-height: 0.3em; text-indent: 16px;letter-spacing:0.1em;font-size:26px"><font color=#fbfcfd face="Bebas Neue">Key Challenges</font></div>
 
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<b>TBC</b><br>
 
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<div style="background: #66ff99; padding: 20px; line-height: 0.3em; text-indent: 16px;letter-spacing:0.1em;font-size:26px"><font color=#fbfcfd face="Bebas Neue">Tools and Technologies</font></div>
 
<div style="margin:0px; padding: 10px; background: #f2f4f4; font-family: Open Sans, Arial, sans-serif; border-radius: 7px; text-align:left">
 
<b>TBC</b><br>
 
</div>
 
 
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<div style="background: #66ff99; padding: 20px; line-height: 0.3em; text-indent: 16px;letter-spacing:0.1em;font-size:26px"><font color=#fbfcfd face="Bebas Neue">Our Team</font></div>
 
<div style="margin:0px; padding: 10px; background: #f2f4f4; font-family: Open Sans, Arial, sans-serif; border-radius: 7px; text-align:left">
 
<b>TBC</b><br>
 
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<div style="background: #66ff99; padding: 20px; line-height: 0.3em; text-indent: 16px;letter-spacing:0.1em;font-size:26px"><font color=#fbfcfd face="Bebas Neue">References</font></div>
 
<div style="margin:0px; padding: 10px; background: #f2f4f4; font-family: Open Sans, Arial, sans-serif; border-radius: 7px; text-align:left">
 
<b>TBC</b><br>
 
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Latest revision as of 21:51, 4 February 2018

Filler.png

Project Details

Project Poster

Project Application

Research Paper




Motivation

By 2030, Singapore’s Department of Statistics purports that nearly 1 in 3 Singaporeans will be over the age of 65, and will be in need of some form of eldercare. In the face on the oncoming ‘Silver Tsunami’, it is important that we rethink the placement and accessibility of our gerontological and palliative facilities, so Singaporeans can have access to the care that they need.

Many existing eldercare facilities are located in the fringes of new town suburbs, and often near regional hospitals which are often further and less accessible from residential areas where the elderly would be.

Our project posits that future eldercare facilities would be better positioned within the heartlands, to better serve an aging community. In this, we hope to equip town planners and eldercare facility administrators with the tools decide where best to place eldercare facilities.


Objectives

The goal of this project would be to build a GIS tool (an R Shiny app), to help administrators determine where best to put eldercare amenities based on a geographical cluster analysis as determined by k-means clustering.


Data Sources

Data Source Data Type/Method
Population Data Singstat.gov.sg .csv
OSM Layer (Singapore) OpenStreet Map SHP
Masterplan 2008 data.gov.sg SHP