Difference between revisions of "G1-Group08"

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Professor Kam Tin Seong</font></div><br>
 
Professor Kam Tin Seong</font></div><br>
 
<div style="background: #093066; text-align: left; padding: 15px; font-weight: bold; line-height: 1em; text-indent: 10px; border-left: #FE0000 solid 30px; font-size: 20px"><font color="white">Project Description</font></div><br>
 
<div style="background: #093066; text-align: left; padding: 15px; font-weight: bold; line-height: 1em; text-indent: 10px; border-left: #FE0000 solid 30px; font-size: 20px"><font color="white">Project Description</font></div><br>
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<div style="text-align: left; width: 95%;"><font size=3px; face="Open Sans, Arial, sans-serif">This business profiling project aims to derive the trade areas for an international food chain in Taiwan with the application of QGIS software. Drive area is also digitised for the trade areas in county of ChangHua, Yunlin and Chiayi. The project will involve extracting the relevant business profile of the food and beverage (F&B) brand in finding out how the location of their stores can drive their sales better. The client will be able to benefit from the digitised map produced so they can further understand the individual outlet trade area profile.To do that, POI (Point of Interests) are categorised based on the facility codes and will be classified in the Choropleth maps of Taiwan. Three different buffer areas are set within the trade area to see which POI can be found near the individual store. Sales performance of each individual outlet's trade area within the same county is then compared and evaluated to figure if the geographic location and presence of POI affects the sales performance greatly or not.
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<div style="text-align: left; width: 95%;"><font size=3px; face="Open Sans, Arial, sans-serif">This business profiling project aims to derive the trade areas for an international food chain in Taiwan with the application of QGIS software. The trade areas are digitised for the counties of ChangHua, Yunlin and Chiayi. With the use of buffer zones, the project will involve extracting the relevant business profile for the client in finding out how the location of their stores can boost their sales performance within the different trade areas. The client will be able to benefit from the digitised map produced so they can further understand their individual outlet trade area profile. Furthermore, POI (Point of Interests) are categorised based on the facility codes and will be classified in the choropleth maps for the three counties. Sales performance of each individual outlet's trade area that falls within the same county is then compared and evaluated to figure how the geographic location and presence of POI can affect the client's sales performance.
 
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Revision as of 19:59, 13 October 2019

Proposal

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