Difference between revisions of "Centroid-Amenities Project Details"

From IS415-Geospatial Analytics for Business Intelligence
Jump to navigation Jump to search
Line 60: Line 60:
  
 
==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Trebuchet MS; border-bottom:2px solid #B21C0E;"><font color= #5E2705>Challenges</font></div>==
 
==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Trebuchet MS; border-bottom:2px solid #B21C0E;"><font color= #5E2705>Challenges</font></div>==
Lack of Data
+
'''Lack of Data'''
 
* Diffcult to find insightful data needed for the project
 
* Diffcult to find insightful data needed for the project
 
* Data found are not complete
 
* Data found are not complete
  
Data cleaning and transformation
+
'''Data cleaning and transformation'''
 
* Data found are not in the format that could be analysed, thus data cleaning is tough
 
* Data found are not in the format that could be analysed, thus data cleaning is tough
 
* Documentation of cleaning process
 
* Documentation of cleaning process
  
Inexperience with QGIS
+
'''Inexperience with QGIS'''
 
* Self-learning is required
 
* Self-learning is required
 
* Listen to Prof Kam in class
 
* Listen to Prof Kam in class

Revision as of 00:42, 5 February 2018

Filler.png

Proposal

Poster

Application

Research Paper

Motivation and Problem Discovery

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.

Project 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 through 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

Milestones

To be Updated

Related Work

To be Updated

Challenges

Lack of Data

  • Diffcult to find insightful data needed for the project
  • Data found are not complete

Data cleaning and transformation

  • Data found are not in the format that could be analysed, thus data cleaning is tough
  • Documentation of cleaning process

Inexperience with QGIS

  • Self-learning is required
  • Listen to Prof Kam in class
  • Peer-to-peer learning

Tools and Techologies

  • QGIS
  • Shiny
  • R Language
  • Open Street Map
  • Mircosoft Excel

References

To be Updated