Difference between revisions of "G2-Group14 Proposal"

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| style="background-color:white" | Taiwan_Stores
 
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| style="text-align: center;" | Point
 
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| style="text-align: center;" | Professor Kam Tin Seong
 
| style="text-align: center;" | Professor Kam Tin Seong
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Polygon - MultiPolygon
 
| style="text-align: center;" | Polygon - MultiPolygon
 
| style="text-align: center;" | Professor Kam Tin Seong
 
| style="text-align: center;" | Professor Kam Tin Seong
 
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| style="background-color:white" | VILLAGE_MOI_1080726
 
| style="background-color:white" | VILLAGE_MOI_1080726
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Polygon - MultiPolygon
 
| style="text-align: center;" | Polygon - MultiPolygon
 
| style="text-align: center;" | Professor Kam Tin Seong
 
| style="text-align: center;" | Professor Kam Tin Seong
 
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| style="background-color:white" | TOWN_MOI_108072
 
| style="background-color:white" | TOWN_MOI_108072
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| style="text-align: center;" | Polygon - MultiPolygon
 
| style="text-align: center;" | Polygon - MultiPolygon
 
| style="text-align: center;" | Professor Kam Tin Seong
 
| style="text-align: center;" | Professor Kam Tin Seong
 
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| style="background-color:white" | COUNTY_MOI_1080726
 
| style="background-color:white" | COUNTY_MOI_1080726
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Polygon - MultiPolygon
 
| style="text-align: center;" | Polygon - MultiPolygon
 
| style="text-align: center;" | Professor Kam Tin Seong
 
| style="text-align: center;" | Professor Kam Tin Seong
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| Business Facility - 5000
 
| Business Facility - 5000
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Client
 
| style="text-align: center;" | Client
 
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| Industrial Area - 9991
 
| Industrial Area - 9991
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
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| Government Office - 9525
 
| Government Office - 9525
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| style="text-align: center;" | Point
 
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| Bowling Centre - 7933
 
| Bowling Centre - 7933
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| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
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| Sports Complex - 7940
 
| Sports Complex - 7940
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| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Client
 
| style="text-align: center;" | Client
 
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| Sports Centre - 7997
 
| Sports Centre - 7997
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| Higher Education - 8200
 
| Higher Education - 8200
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| School - 8211
 
| School - 8211
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| Bar or Pub - 9532
 
| Bar or Pub - 9532
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| Cinema - 7832
 
| Cinema - 7832
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| Nightlife - 5813
 
| Nightlife - 5813
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| Performing Arts - 7929
 
| Performing Arts - 7929
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| Residential Area or Building - 9590
 
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| ATM - 3578
 
| ATM - 3578
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| style="text-align: center;" | Point
 
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| Bank - 6000
 
| Bank - 6000
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| style="text-align: center;" | Shapefile
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| Hospital - 8060
 
| Hospital - 8060
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| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
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| Medical Service - 9583
 
| Medical Service - 9583
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| Coffee Shop - 9996
 
| Coffee Shop - 9996
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| Restaurant - 5800
 
| Restaurant - 5800
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| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
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| Bus Station - 4170
 
| Bus Station - 4170
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Client
 
| style="text-align: center;" | Client
 
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| Commuter Rail Station - 4100
 
| Commuter Rail Station - 4100
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
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| style="text-align: center;" | Client
 
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| Train Station - 4013
 
| Train Station - 4013
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
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| Bookstore - 9995
 
| Bookstore - 9995
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| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
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| Clothing Store - 9537
 
| Clothing Store - 9537
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
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| Electronics Store - 9987
 
| Electronics Store - 9987
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Client
 
| style="text-align: center;" | Client
 
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| Convenience Store - 9535
 
| Convenience Store - 9535
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
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| Department Store - 9545
 
| Department Store - 9545
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Client
 
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| Grocery Store - 5400
 
| Grocery Store - 5400
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Client
 
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| Pharmacy - 9565
 
| Pharmacy - 9565
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
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| Shopping - 6512
 
| Shopping - 6512
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | .shp
 
| style="text-align: center;" | Point
 
| style="text-align: center;" | Point
 
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| Specialty Store - 9567
 
| Specialty Store - 9567
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | .shp
 
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| Hotel - 7011
 
| Hotel - 7011
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| style="text-align: center;" | Shapefile
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| style="text-align: center;" | Point
 
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| style="background-color:white" | SC-20171124寬74高90(鋁)含框
 
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| style="background-color:white" | SZ-20190830寬88.5高100(鋁)含框
 
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| style="background-color:white" | FW-20171115寬75高80(鋁)含框
 
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| style="background-color:white" | ZT-20190323寬76高等比(鋁)含框
 
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Revision as of 02:28, 24 November 2019

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HOME

PROPOSAL

POSTER

WEB MAPS

REPORT


PROJECT MOTIVATION


Big Data, in today’s context, is indispensable. Businesses are realising its importance and how they should utilize data they have captured over the years by applying analytics. Over the years, Big Data analytics has helped organisations process their data; discovering insights, trends and uncovering potential opportunities. This has benefited these organisations by improving their decision-making and problem solving processes.

When the opportunity to work with an international restaurant franchise arose, our team was more than keen to take on the challenge. With the relevant data readily provided by our client, we will then employ skills like delineating and digitizing the trade areas of our allocated stores, then analyse how other relevant factors such as competitions and human traffic can affect their business across Taipei. In this project, we are excited to apply skill sets that we have acquired in our Geospatial classes to help identify potential hotspots and potential problems that might be occurring. We hope that our analysis can provide the client with valuable insights, and that our proposed recommendations can aid them with their business strategies and decisions in the coming years.


PROJECT OBJECTIVE


The project aims to conduct a thorough analysis of the 13 of our client’s restaurant stores located near the Tamsui River in Taiwan to evaluate the success of each individual store based on their location. We will come up with the following:

  1. Digitized maps on the Quantum Geographic Information System (QGIS) software, based on the subzones labelled and provided to us by the international franchise
  2. Business profiles of each store and their relative performance to each other through extracting out relevant POIs within the trade area and subzones
  3. Setting up buffer zones to evaluate the possibility of creating an accurate business profile of each store through the use of such buffer tools, rather than digitizing the actual map areas given to us
  4. Analyze, research and provide recommendations to our client through the creation of an interesting and informational poster filled with QGIS maps for better visualization, as well as a thorough project report.


PROJECT DATA SETS


Name of Data Format of Data Geographic Representation Source
Stores
Taiwan_Stores .shp Point Professor Kam Tin Seong
Land Segregation
VILLAGE_MOI_121_1080726 .shp Polygon - MultiPolygon Professor Kam Tin Seong
VILLAGE_MOI_1080726 .shp Polygon - MultiPolygon Professor Kam Tin Seong
TOWN_MOI_108072 .shp Polygon - MultiPolygon Professor Kam Tin Seong
COUNTY_MOI_1080726 .shp Polygon - MultiPolygon Professor Kam Tin Seong
Points of Interest
Business
Business Facility - 5000 .shp Point Client
Industrial Area - 9991 .shp Point Client
Community Service
Government Office - 9525 .shp Point Client
Park Recreational
Bowling Centre - 7933 .shp Point Client
Sports Complex - 7940 .shp Point Client
Sports Centre - 7997 .shp Point Client
Education
Higher Education - 8200 .shp Point Client
School - 8211 .shp Point Client
Entertainment
Bar or Pub - 9532 .shp Point Client
Cinema - 7832 .shp Point Client
Nightlife - 5813 .shp Point Client
Performing Arts - 7929 .shp Point Client
Miscellaneous
Residential Area or Building - 9590 .shp Point Client
Financial
ATM - 3578 .shp Point Client
Bank - 6000 .shp Point Client
Hospitals
Hospital - 8060 .shp Point Client
Medical Service - 9583 .shp Point Client
Restaurants
Coffee Shop - 9996 .shp Point Client
Restaurant - 5800 .shp Point Client
Transport Hubs
Bus Station - 4170 .shp Point Client
Commuter Rail Station - 4100 .shp Point Client
Train Station - 4013 .shp Point Client
Shopping
Bookstore - 9995 .shp Point Client
Clothing Store - 9537 .shp Point Client
Electronics Store - 9987 .shp Point Client
Convenience Store - 9535 .shp Point Client
Department Store - 9545 .shp Point Client
Grocery Store - 5400 .shp Point Client
Pharmacy - 9565 .shp Point Client
Shopping - 6512 .shp Point Client
Specialty Store - 9567 .shp Point Client
Travel Destination
Hotel - 7011 .shp Point Client
Trade Areas
CU-20171212寬52高42(鋁)含框 .pptx - Client
LF-20190416寬60高76(鋁) .pptx - Client
LU-20190318寬70高90(木) .pptx - Client
SC-20171124寬74高90(鋁)含框 .pptx - Client
SZ-20190830寬88.5高100(鋁)含框 .pptx - Client
LW-20180109寬110高76.5(木) .pptx - Client
WG-20150722寬60高比例(鋁) .pptx - Client
BL .pptx - Client
DC .pptx - Client
DJ .pptx - Client
DS .pptx - Client
FW-20171115寬75高80(鋁)含框 .pptx - Client
ZT-20190323寬76高等比(鋁)含框 .pptx - Client


SCOPE OF WORK


CHALLENGES AND ERRORS INCURRED


PROJECT TIMELINE


PROJ SCHEDULE.png


TOOLS USED


  1. QGIS - A Geographic Information System Software
  2. Python - A Programming Language


REFERENCES


About:

  1. https://www.trip.com/travel-guide/taipei/tamsui-river-23866567/
  2. https://guidetotaipei.com/visit/tamsui-fishermans-wharf-%E6%B7%A1%E6%B0%B4%E6%BC%81%E4%BA%BA%E7%A2%BC%E9%A0%AD
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