Difference between revisions of "G2-Group01 Proposal"

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Taoyuan is located approximately 40 km southwest of Taipei, in northern Taiwan, and occupies 1,220 km2. It is made up of low-lying plains, interconnected mountains and plateaus. Its shape has a long and narrow southeast-to-northwest trend, with the southeast in the Xueshan Range and the far end on the shores of the Taiwan Strait. As the location of Taiwan’s premier international airport, Taoyuan is not only the gateway to Taiwan, but also the first stop for international visitors arriving in our country, and an important hub for Taiwan’s interaction with the world. Taoyuan is one of Taiwan's top industrial and technology cities. Over 200 of Taiwan's top 500 manufacturing companies have factories in Taoyuan. Building on Taoyuan’s strategic location, excellent transportation links and rich industrial base, key industries targeted for development include aerospace maintenance and repair, warehousing and logistics, exhibitions and conventions, optoelectronics, green energy, value-added manufacturing, cloud computing, biotechnology and medicine. Through initiatives such as the Taoyuan Aerotropolis project, Taoyuan aims to reshape Taoyuan as a smart airport city. [1]
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Taoyuan is located approximately 40 km southwest of Taipei, in northern Taiwan, and occupies 1,220 km<sup>2</sup>. It is made up of low-lying plains, interconnected mountains and plateaus. Its shape has a long and narrow southeast-to-northwest trend, with the southeast in the Xueshan Range and the far end on the shores of the Taiwan Strait. As the location of Taiwan’s premier international airport, Taoyuan is not only the gateway to Taiwan, but also the first stop for international visitors arriving in our country, and an important hub for Taiwan’s interaction with the world. Taoyuan is one of Taiwan's top industrial and technology cities. Over 200 of Taiwan's top 500 manufacturing companies have factories in Taoyuan. Building on Taoyuan’s strategic location, excellent transportation links and rich industrial base, key industries targeted for development include aerospace maintenance and repair, warehousing and logistics, exhibitions and conventions, optoelectronics, green energy, value-added manufacturing, cloud computing, biotechnology and medicine. Through initiatives such as the Taoyuan Aerotropolis project, Taoyuan aims to reshape Taoyuan as a smart airport city. [1]
 
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<br>
 
[[File:Aeropic.png|500px|frameless|center|Aeropic]]
 
[[File:Aeropic.png|500px|frameless|center|Aeropic]]
 
<div style="text-align: center;">
 
<div style="text-align: center;">
 
Artist's Impression of Taoyuan Aerotropolis Project [2]
 
Artist's Impression of Taoyuan Aerotropolis Project [2]
 
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<br>
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! style="width:1600px"| Project Motivation
 
! style="width:1600px"| Project Motivation
 
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This is a sample of the project description, James and Clint and christine do your part pls
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<div style="text-align: left;">
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Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. Big data can be analyzed for insights that lead to better decisions and strategic business moves. [3] The use of Big Data is commonplace nowadays by companies to outperform their competitors. In most industries, existing competitors and new entrants alike will use the strategies resulting from the analyzed data to compete, innovate and capture value. With Big Data, the volume of data collected is not its selling point, but it is instead the  information learned; and how it can be used to optimize business operations and make key strategic decisions. This project aims to digest a copious amount of data regarding various different points of interest (POI) and analyse its geographical relevance with our client's outlets.
 +
 
 +
Our project is a collaboration with an International Food Chain (IFC) with more than 16,000 outlets in over 100 countries with a staff team of around 300,000 members. For this project, we will narrow our scope to their Taiwan outlets, more specifically, 13 outlets in the region of Taoyuan. Utilizing geospatial analytics skills learnt in the classroom, we hope to discover meaningful relationships between the different POIs and the outlets.
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<br>
  
  
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! style="width:1600px"| Project Objective
 
! style="width:1600px"| Project Objective
 
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|}
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This is a sample of the project description, James and Clint and christine do your part pls
 
  
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<div style="text-align: left;">
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This project aims to determine defining variables that enable certain stores to perform better than others. We hope to identify the factors of success through analysing the various POIs that are in the proximity of our designated trade areas. This is achieved through meeting the following objectives:
 +
* Digitizing trade areas of our allocated stores
 +
* Extracting relevant POIs within trade areas
 +
* Making detailed business profiles of each outlet based on their respective POIs
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<br>
  
  
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{| border="1" cellpadding="1"
 
{| border="1" cellpadding="1"
 
|- style="background-color:#003366; color: white; height:50px; text-align: center; margin: 0 auto"
 
|- style="background-color:#003366; color: white; height:50px; text-align: center; margin: 0 auto"
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! style="width:1600px"| Project Timeline
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! style="width:1600px"| Project Data
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|}
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<br>
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{| border="1" cellpadding="1"
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|- style="background-color:#BBDEF0; color: black; height:30px; text-align: center; margin: 0 auto"
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! style="width:500px"| Data Folder
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! style="width:500px"| Data Type
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! style="width:500px"| Data Source
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! style="width:700px"| Purpose
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|- style='background-color: white; colour: black; vertical-align: top; text-align:left; margin: 0 auto"
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| Admin Boundary <br> &#8226; COUNTY_MOI_10 <br> &#8226; TOWN_MOI_1080 <br> &#8226; VILLAGE_MOI_121
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| Shapefile (.shp)
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| Client/Prof Kam
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| To outline the countys, towns and villages in Taiwan
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|- style='background-color: white; colour: black; vertical-align: top; text-align:left; margin: 0 auto"
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| GeoPackage <br> &#8226; Taiwan_stores.gpkg
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| GeoPackage (.gkpg)
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| Client
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| To locate our stores of study
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|- style='background-color: white; colour: black; vertical-align: top; text-align:left; margin: 0 auto"
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| location_map <br>
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1. Bade Qiao'ai <br>
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2. JF <br>
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3. JH <br> 
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4. JL <br> 
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5. JP <br>
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6. KI <br>
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7. LD <br> 
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8. LG <br> 
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9. LI <br>
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10. PH <br>
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11. TP <br> 
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12. XU <br> 
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13. YM <br>
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| Powerpoint (.pptx)
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| Client
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| To locate the area that surrounds our stores of study
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|- style='background-color: white; colour: black; vertical-align: top; text-align:left; margin: 0 auto"
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| POI (Points of Interest) <br>
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1. ATM<br>
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2. Bank<br>
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3. Bar or Pub<br>
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4. Bookstore<br>
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5. Bowling Centre<br>
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6. Bus Station<br>
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7. Business Facility<br>
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8. Cinema<br>
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9. Clothing Store<br>
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10. Coffee Shop<br>
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11. Commuter Rail Station<br>
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12. Consumer Electronics Store<br>
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13. Convenience Store<br>
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14. Department Store<br>
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15. Government Office<br>
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16. Grocery Store<br>
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17. Higher Education<br>
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18. Hospital<br>
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19. Hotel<br>
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20. Medical Service<br>
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21. Pharmacy<br>
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22. Residential Area/ Building<br>
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23. Restaurant<br>
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24. School<br>
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25. Shopping<br>
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26. Sports Centre<br>
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27. Sports Complex<br>
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28. Train Station<br>
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| Shapefile (.shp)
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| Prof Kam
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| To locate the point of interests within the marked out areas around our stores of study
 
|}
 
|}
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Insert Gantt Chart
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<br>
  
  
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{| border="1" cellpadding="1"
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|- style="background-color:#003366; color: white; height:50px; text-align: center; margin: 0 auto"
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! style="width:1600px"| Project Timeline
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|}
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<br>
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[[File:Latesttimelines.jpg|1000px|frameless|center|Gantt Chart]]
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<br><br>
  
 
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{| border="1" cellpadding="1"
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! style="width:1600px"| Scope of Work
 
! style="width:1600px"| Scope of Work
 
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|}
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This is a sample of the project description, James and Clint do your part pls
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<br>
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[[File:Latestsow.jpg|1600px|frameless|center|G1Grp1SOW_v2]]
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<br><br>
  
  
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==References==  
 
==References==  
 
[1] https://urdb.tycg.gov.tw/PLPR_TAOYUAN/web_page/PLPR010300.html <br>
 
[1] https://urdb.tycg.gov.tw/PLPR_TAOYUAN/web_page/PLPR010300.html <br>
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[2] DeAeth, Duncan. [https://www.taiwannews.com.tw/en/news/3365598 "Taiwan's Taoyuan Aerotropolis Project on track to begin in 2018"], ''[[Taiwan News]]'', Taiwan, 16 February 2018. Retrieved on 14 October 2019.  
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[2] DeAeth, Duncan. [https://www.taiwannews.com.tw/en/news/3365598 "Taiwan's Taoyuan Aerotropolis Project on track to begin in 2018"], ''[[Taiwan News]]'', Taiwan, 16 February 2018. Retrieved on 14 October 2019. <br>
 +
[3] SAS. [https://www.sas.com/en_sg/insights/big-data/what-is-big-data.html "Big Data"], ''[[SAS]]'', USA, n.d. Retrieved on 17 October 2019.  
 
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Latest revision as of 21:50, 24 November 2019

G2Grp1-header.jpg


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Proposal

Poster

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Project Report


About Taoyuan

Taoyuan is located approximately 40 km southwest of Taipei, in northern Taiwan, and occupies 1,220 km2. It is made up of low-lying plains, interconnected mountains and plateaus. Its shape has a long and narrow southeast-to-northwest trend, with the southeast in the Xueshan Range and the far end on the shores of the Taiwan Strait. As the location of Taiwan’s premier international airport, Taoyuan is not only the gateway to Taiwan, but also the first stop for international visitors arriving in our country, and an important hub for Taiwan’s interaction with the world. Taoyuan is one of Taiwan's top industrial and technology cities. Over 200 of Taiwan's top 500 manufacturing companies have factories in Taoyuan. Building on Taoyuan’s strategic location, excellent transportation links and rich industrial base, key industries targeted for development include aerospace maintenance and repair, warehousing and logistics, exhibitions and conventions, optoelectronics, green energy, value-added manufacturing, cloud computing, biotechnology and medicine. Through initiatives such as the Taoyuan Aerotropolis project, Taoyuan aims to reshape Taoyuan as a smart airport city. [1]


Aeropic

Artist's Impression of Taoyuan Aerotropolis Project [2]



Project Motivation

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. Big data can be analyzed for insights that lead to better decisions and strategic business moves. [3] The use of Big Data is commonplace nowadays by companies to outperform their competitors. In most industries, existing competitors and new entrants alike will use the strategies resulting from the analyzed data to compete, innovate and capture value. With Big Data, the volume of data collected is not its selling point, but it is instead the information learned; and how it can be used to optimize business operations and make key strategic decisions. This project aims to digest a copious amount of data regarding various different points of interest (POI) and analyse its geographical relevance with our client's outlets.

Our project is a collaboration with an International Food Chain (IFC) with more than 16,000 outlets in over 100 countries with a staff team of around 300,000 members. For this project, we will narrow our scope to their Taiwan outlets, more specifically, 13 outlets in the region of Taoyuan. Utilizing geospatial analytics skills learnt in the classroom, we hope to discover meaningful relationships between the different POIs and the outlets.



Project Objective

This project aims to determine defining variables that enable certain stores to perform better than others. We hope to identify the factors of success through analysing the various POIs that are in the proximity of our designated trade areas. This is achieved through meeting the following objectives:

  • Digitizing trade areas of our allocated stores
  • Extracting relevant POIs within trade areas
  • Making detailed business profiles of each outlet based on their respective POIs



Project Data


Data Folder Data Type Data Source Purpose
Admin Boundary
• COUNTY_MOI_10
• TOWN_MOI_1080
• VILLAGE_MOI_121 		Shapefile (.shp) Client/Prof Kam To outline the countys, towns and villages in Taiwan
GeoPackage
• Taiwan_stores.gpkg 		GeoPackage (.gkpg) Client To locate our stores of study
location_map

1. Bade Qiao'ai
2. JF
3. JH
4. JL
5. JP
6. KI
7. LD
8. LG
9. LI
10. PH
11. TP
12. XU
13. YM

Powerpoint (.pptx) Client To locate the area that surrounds our stores of study
POI (Points of Interest)

1. ATM
2. Bank
3. Bar or Pub
4. Bookstore
5. Bowling Centre
6. Bus Station
7. Business Facility
8. Cinema
9. Clothing Store
10. Coffee Shop
11. Commuter Rail Station
12. Consumer Electronics Store
13. Convenience Store
14. Department Store
15. Government Office
16. Grocery Store
17. Higher Education
18. Hospital
19. Hotel
20. Medical Service
21. Pharmacy
22. Residential Area/ Building
23. Restaurant
24. School
25. Shopping
26. Sports Centre
27. Sports Complex
28. Train Station

 Shapefile (.shp) Prof Kam To locate the point of interests within the marked out areas around our stores of study



Project Timeline


Gantt Chart



Scope of Work


G1Grp1SOW_v2




References

[1] https://urdb.tycg.gov.tw/PLPR_TAOYUAN/web_page/PLPR010300.html
[2] DeAeth, Duncan. "Taiwan's Taoyuan Aerotropolis Project on track to begin in 2018", Taiwan News, Taiwan, 16 February 2018. Retrieved on 14 October 2019.
[3] SAS. "Big Data", SAS, USA, n.d. Retrieved on 17 October 2019.

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