Group06 Elec3city Proposal

From Geospatial Analytics and Applications
Jump to navigation Jump to search


HOME

PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER


Project Motivation



Project Objective

Through our project, we aim to:


Data Preparation

Data Source Data Type
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 2H 2016 ema.gov.sg xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 1H 2016 ema.gov.sg xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 2H 2015 ema.gov.sg xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 1H 2015 ema.gov.sg xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) & Dwelling Type, 2H 2014 ema.gov.sg xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) and Dwelling Type, 1H 2014 ema.gov.sg xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) and Dwelling Type, 2H 2013 ema.gov.sg xls
Average Monthly Household Electricity Consumption by Postal Code (Public Housing) and Dwelling Type, 1H 2013 ema.gov.sg xls
Average Monthly Household Electricity Consumption by Postal Code (Private Apartments), 2015 and 2016 ema.gov.sg xls
Average Monthly Household Electricity Consumption by Postal Code (Private Apartments), 2013 to 2014 ema.gov.sg xls


Data Collection

Collecting accidents and heavy traffic data

The data collected is in the format below:

Attributes Example

With all the data ready, we can now proceed for data cleaning.


Data Cleaning





Literature Review






Methodology:
1.

2.

3.


Learning Points:



Areas for improvement:








Approach

After performing the literature review, we have a better understanding of what methodology could be used to achieve our objective. We then consulted our professor to decide the most appropriate analysis technique for use and finally we chose the techniques below.








Web Application Design

Design Inspiration




Initial Storyboard



Application Architecture

The image below shows the application architecture of our web application.


Application Overview


Type Feature Image Purpose


Interesting Findings

The following section describes some of the interesting discussions from the R Shiny Web Application we have created.




Project Challenges

Key Challenges Description Solution
1.
2.
3.




Project Timeline



Meet the Team



Feel free to leave any comments! :)

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