Difference between revisions of "G2-Group08 Homepage"

From Geospatial Analytics for Urban Planning
Jump to navigation Jump to search
Line 7: Line 7:
 
<!-- 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:#EDCDC0;  border-bottom:0px solid #000000; text-align:center; color:#ffffff" width="15%" |  
+
| style="padding:0.3em; font-size:100%; background-color:#EDCDC0;  border-bottom:0px solid #000000; text-align:center; color:#ffffff" width="12%" |  
 
[[G2-Group08 Homepage|<font color="#ffffff" size=2><b>HOME</b></font>]]
 
[[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="15%" |  
+
| style="padding:0.3em; font-size:100%; background-color:#ffffff;  border-bottom:0px solid #000000; text-align:center; color:#000000" width="12%" |  
 
[[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="15%" |  
+
| style="padding:0.3em; font-size:100%; background-color:#ffffff;  border-bottom:0px solid #000000; text-align:center; color:#000000" width="12%" |  
 
[[G2-Group08 Poster |<font color="#000000" size=2><b>POSTER</b></font>]]
 
[[G2-Group08 Poster |<font color="#000000" size=2><b>POSTER</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="15%" |  
+
| style="padding:0.3em; font-size:100%; background-color:#ffffff;  border-bottom:0px solid #000000; text-align:center; color:#000000" width="12%" |  
 
[[G2-Group08 Webmaps |<font color="#000000" size=2><b>WEBMAPS</b></font>]]
 
[[G2-Group08 Webmaps |<font color="#000000" size=2><b>WEBMAPS</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="15%" |  
+
| style="padding:0.3em; font-size:100%; background-color:#ffffff;  border-bottom:0px solid #000000; text-align:center; color:#000000" width="12%" |  
 
[[G2-Group08 Project Report|<font color="#000000" size=2><b>PROJECT REPORT</b></font>]]
 
[[G2-Group08 Project Report|<font color="#000000" size=2><b>PROJECT REPORT</b></font>]]
  

Revision as of 18:05, 22 November 2019

Kaohsiung .png


HOME

PROPOSAL

POSTER

WEBMAPS

PROJECT REPORT

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.