Difference between revisions of "G2-Group08 Homepage"

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<!------- Main Navigation Bar---->
 
<!------- Main Navigation Bar---->
 
<center>
 
<center>
 
[[File:G2G8_background.JPG|400px|centre]]
 
  
 
<!-- Header Start -->
 
<!-- Header Start -->
 
{|style="background-color:#ffffff; color:#000000; padding: 10 0 10 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" |
 
{|style="background-color:#ffffff; color:#000000; padding: 10 0 10 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" |
| style="padding:0.3em; font-size:100%; background-color:#f4788b;  border-bottom:0px solid #000000; text-align:center; color:#ffffff" width="11%" |  
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| style="padding:0.3em; font-size:100%; background-color:#EDCDC0;  border-bottom:0px solid #000000; text-align:center; color:#ffffff" width="15%" |  
[[G2-Group08 Homepage|<font color="#ffffff" size=2><b>HOMEPAGE</b></font>]]
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[[G2-Group08 Homepage|<font color="#ffffff" size=2><b>HOME</b></font>]]
  
 
| style="border-bottom:0px solid #ffffff; background:none;" width="1%" |
 
| style="border-bottom:0px solid #ffffff; background:none;" width="1%" |
| style="padding:0.3em; font-size:100%; background-color:#ffffff;  border-bottom:0px solid #000000; text-align:center; color:#000000" width="12%" |  
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| style="padding:0.3em; font-size:100%; background-color:#ffffff;  border-bottom:0px solid #000000; text-align:center; color:#000000" width="15%" |  
 
[[G2-Group08 Proposal|<font color="#000000" size=2><b>PROPOSAL</b></font>]]
 
[[G2-Group08 Proposal|<font color="#000000" size=2><b>PROPOSAL</b></font>]]
  
 
| style="border-bottom:0px solid #ffffff; background:none;" width="1%" |
 
| style="border-bottom:0px solid #ffffff; background:none;" width="1%" |
| style="padding:0.3em; font-size:100%; background-color:#ffffff;  border-bottom:0px solid #000000; text-align:center; color:#000000" width="14%" |  
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| style="padding:0.3em; font-size:100%; background-color:#ffffff;  border-bottom:0px solid #000000; text-align:center; color:#000000" width="15%" |  
 
[[G2-Group08 Poster |<font color="#000000" size=2><b>POSTER</b></font>]]
 
[[G2-Group08 Poster |<font color="#000000" size=2><b>POSTER</b></font>]]
  
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<!-- Body -->
 
<br>
 
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<br>
 
<div style="background: #f48478; padding: 20px; line-height: 0em; text-indent: 0px;letter-spacing:0.0em;font-size:18px; text-align: left"><font color=#ffffff face="Roboto">Motivation & Objective</font></div>
 
 
{| style="background-color:#FFFFFF;" width="100%"
 
|-
 
|
 
As part of our module, Geographic Information Systems for Urban Planning, our group will be taking on a business profiling project in collaboration with an international F&B chain. For our project, we will be focusing on the company's outlets in Taiwan, in particular the west region and most of which are located in Kaohsiung city. Hence, we are covering a total of 15 outlets in which each outlet is surrounded by a trade area.
 
 
Our main objective is to extract the total number of Point of Interests (POIs) within each trade area. This would allow us to determine the likelihood of customers dining at a particular outlet. The results of this project will provide the F&B chain with the necessary geographic data analysis to make an informed decision regarding their sales and marketing strategy.
 
|-
 
|}
 
 
<!-- END OF PROJECT MOTIVATION --->
 
 
<!-- Body -->
 
 
<br>
 
<br>
<!-- End Body --->
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[[File:Kaohsiung .png|400px|frameless|center]]<br>
<br>
 
<div style="background: #f49978; padding: 20px; line-height: 0em; text-indent: 0px;letter-spacing:0.0em;font-size:18px; text-align: left"><font color=#ffffff face="Roboto">Project Scope</font></div>
 
  
{| style="background-color:#FFFFFF;" width="100%"
 
|-
 
|
 
As part of our module, Geographic Information Systems for Urban Planning, our group will be taking on a business profiling project in collaboration with an international F&B chain. For our project, we will be focusing on the company's outlets in Taiwan, in particular the west region and most of which are located in Kaohsiung city. Hence, we are covering a total of 15 outlets in which each outlet is surrounded by a trade area.
 
 
Our main objective is to extract the total number of Point of Interests (POIs) within each trade area. This would allow us to determine the likelihood of customers dining at a particular outlet. The results of this project will provide the F&B chain with the necessary geographic data analysis to make an informed decision regarding their sales and marketing strategy.
 
|-
 
|}
 
  
<!-- END OF PROJECT MOTIVATION --->
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===Introduction===
 +
As part of our module, Geographic Information Systems for Urban Planning, we are collaborating with an international food chain to analyse 15 trade areas located in Taiwan's Kaohsiung and Ping Tung region. The international food chain currently uses manual methods of delineating their trade area which is largely time-consuming. Therefore we aim to propose new and faster methods using QGIS to delineate the trade area. We will also be analysing the points of interest (POI) within each trade area to determine the correlation between the POIs and sales revenue. To do so, we will be using simple and multiple linear regression analysis. The results of this project will provide the international food chain with the necessary geographic data analysis to make an informed decision regarding their sales and marketing strategy.

Latest revision as of 18:08, 22 November 2019

HOME

PROPOSAL

POSTER

WEBMAPS

PROJECT REPORT


Kaohsiung .png


Introduction

As part of our module, Geographic Information Systems for Urban Planning, we are collaborating with an international food chain to analyse 15 trade areas located in Taiwan's Kaohsiung and Ping Tung region. The international food chain currently uses manual methods of delineating their trade area which is largely time-consuming. Therefore we aim to propose new and faster methods using QGIS to delineate the trade area. We will also be analysing the points of interest (POI) within each trade area to determine the correlation between the POIs and sales revenue. To do so, we will be using simple and multiple linear regression analysis. The results of this project will provide the international food chain with the necessary geographic data analysis to make an informed decision regarding their sales and marketing strategy.