Difference between revisions of "BURP Proposal"

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# Host locally to call unlimited number of times.
 
# Host locally to call unlimited number of times.

Revision as of 01:58, 28 February 2019

BURP Logo.png

PROPOSAL

POSTER

PROJECT APPLICATION

RESEARCH PAPER


PROJECT DESCRIPTION
In recent years, the Ministry of Education (MOE) has been appointing new mergers between schools and relocating them. These schools include primary schools, secondary schools as well as junior colleges. The merging and relocation of schools would mean lesser schools in each neighbourhoods. This would affect the students' accessibility to certain schools, especially those in primary schools where parents need to send their children to schools. With more upcoming mergers of school by MOE, it is important for the government and schools to know the inconvenience in terms of time and distance travelled caused by the mergers and implement measures to ensure that these areas have better accessibility. Thus, our team aims to identify the HDB residential areas that are affected due to the merger of schools.


PROJECT OBJECTIVES
Building an application that uses Geospatial to identify the accessibility of HDB residential areas to schools affected by the mergers.


PROJECT MOTIVATION
xxx
PROJECT PROTOTYPE
Prototype v.1.png


PROJECT MILESTONES
BURP Milestone.png


TASKS ALLOCATION
Iteration Week Task In-charge
1 and 2 Week 2 to 7 Idea Development and Project Proposal All
3 Week 8 Wiki Update (Project Assessment) Rebecca
4 Week 9 Data Preparation Peng Chong
5 Week 10 to 11 Application Development and Deployment Brendo and Peng Chong
6 Week 12 Poster Submission Brendo and Rebecca
7 Week 13 Final Project Paper Submission All


KEY CHALLENGES
Key Challenges Description Solution
Cross Referencing of Data As there are many datasets involved, it is difficult to cross reference the data as they are of different level.
  1. Find more data online to merge connect the different data
  2. Consult prof for advise
  3. Find for packages helps to link data
Restriction of Public Api To calibrate data on routes, we used public api. However, the public api do not allow us to call more than 10,000 times.
  1. Host locally to call unlimited number of times.


DATA SOURCES
Data Set Format Attributes
HDB Property Information CSV
  • Block
  • Street
  • Residential Status
Postal Code Data CSV
  • Address
  • Block
  • Latitude & Longitude
  • Postal Code
  • X & Y coordinates
  • Road Name
General Information of Schools CSV
  • School Name
  • Address
  • Postal Code
Route Data CSV
  • Distance
  • Duration
  • Location
  • Destination