代做Selecting the Next Location for a COBS Bread Store代写数据结构语言

Summative Lab Assignment

Final Lab Assignment:  Selecting the Next Location for a COBS Bread Store

This summative lab assignment gives you an opportunity to bring together many of the analytical techniques you practiced in the first eight workshops in order to propose a viable location for the placement of a tenth COBS Bread store in the Greater Toronto Area.  You will have to consider at least three (3) factors included in the datasets you have already been using (“Toronto_Data.shp”) which would make a location a success given the type of product offered by the company and the market they seek to serve.

This assignment is worth 30% of your final grade.  Half of the marks will be given for the steps you take in the analysis and mapping of data. The other half of the grade will be for the writing up of the procedures and the results, and the explanation you provide (with reference to the maps and other data created) in support of your recommendation for the location of the tenth COBS Bread store in the Toronto region.  Please note that all steps required to complete this assignment have already been described in detail through the previous labs.  It is up to you to decide how to combine the techniques provided in those labs.

First, you must decide what census variables you will include in your analysis.  You must include at least three variables and explain why you have included these ones as those which will help pinpoint viable market areas for expansion.  In Workshop 8 we used two factors: household after tax income > $70 000 and the number of children under 20.  In a previous workshop, we included pre-tax income and school-aged children.  You may choose these and/or any other relevant variables, but must explain why you have chosen the variables you used.

Having chosen the variables you intend to use, you must then determine where in the Toronto CMA there are sufficient clusters of population (i.e., enough census tracts) to make a store viable at that location.  That might be your first map.  You must choose at least three potential locations to investigate, add those locations to your map (by either creating a new shapefile as done in Workshop 9, or by adding possible locations to the shapefile you already created in that workshop.  As before, you can disregard the current land use designation of any potential site.  You are just looking for the best possible market area for expansion.  These three or more potential locations should be labelled and shown on a single map which would also include the locations of all 9 existing COBS Bread stores.  

Next you must analyse and map relevant data for all three or more of the potential store location market areas you have identified.  You may use Select by Location and/or Clip to select the relevant trade areas.  The size of the buffer may differ in each case depending on whether or not the proposed site is inner city or suburban (as was done in one of the labs) but the method chosen to select the relevant CTs must be consistent.  You may not select CTs by centroid for one market area and by intersect for another.  Write up the market area analysis for each potential location and include a map of each.  These market area maps may all be placed on the same map layout page or presented as three (or more) separate map layouts.

You must consider how each potential location may “cannibalize” other stores in the chain.  Therefore you must determine the distance from each potential location to the nearest existing COBS store and determine whether or not the potential new store would share part of its market with an existing location (as the Annex store market area clearly overlaps and the Kensington store market area).  If market areas overlap, then this must be taken into consideration in determining whether or not a potential location is the best one.

Finally, you must determine which potential store has the most promising market area and therefore is the location you would recommend to the corporate headquarters as the best location for the placement of the tenth COBS Bread store in the Greater Toronto Area.  You must support your decision with specific reference to the maps and other data you have created in this activity.

This assignment is not an essay.  It is a report of findings and recommendations after consideration of the market areas of at least three potential new store locations.  Therefore, final product of this assignment must include written statements of key decisions made about the variables chosen as significant, the market area boundaries determined for each location, the analysis of each potential market area, and a defence of the recommendation being made.  All of the written component must be in proper English paragraphs.  The use of subtitles is encouraged.  

The report must also include correctly assembled map layouts of the relevant data for the Toronto region as a whole and for each of the potential market areas.  These maps must be embedded within the report (exported as jpegs from the GIS and inserted into the report).

There is no minimum size (i.e., number of words/pages) for this report, but should not exceed 1500 words of text.  Please use a 12 point font and 2.5 cm (1 inch) margins for the written portions of your report.

 




热门主题

课程名

mktg2509 csci 2600 38170 lng302 csse3010 phas3226 77938 arch1162 engn4536/engn6536 acx5903 comp151101 phl245 cse12 comp9312 stat3016/6016 phas0038 comp2140 6qqmb312 xjco3011 rest0005 ematm0051 5qqmn219 lubs5062m eee8155 cege0100 eap033 artd1109 mat246 etc3430 ecmm462 mis102 inft6800 ddes9903 comp6521 comp9517 comp3331/9331 comp4337 comp6008 comp9414 bu.231.790.81 man00150m csb352h math1041 eengm4100 isys1002 08 6057cem mktg3504 mthm036 mtrx1701 mth3241 eeee3086 cmp-7038b cmp-7000a ints4010 econ2151 infs5710 fins5516 fin3309 fins5510 gsoe9340 math2007 math2036 soee5010 mark3088 infs3605 elec9714 comp2271 ma214 comp2211 infs3604 600426 sit254 acct3091 bbt405 msin0116 com107/com113 mark5826 sit120 comp9021 eco2101 eeen40700 cs253 ece3114 ecmm447 chns3000 math377 itd102 comp9444 comp(2041|9044) econ0060 econ7230 mgt001371 ecs-323 cs6250 mgdi60012 mdia2012 comm221001 comm5000 ma1008 engl642 econ241 com333 math367 mis201 nbs-7041x meek16104 econ2003 comm1190 mbas902 comp-1027 dpst1091 comp7315 eppd1033 m06 ee3025 msci231 bb113/bbs1063 fc709 comp3425 comp9417 econ42915 cb9101 math1102e chme0017 fc307 mkt60104 5522usst litr1-uc6201.200 ee1102 cosc2803 math39512 omp9727 int2067/int5051 bsb151 mgt253 fc021 babs2202 mis2002s phya21 18-213 cege0012 mdia1002 math38032 mech5125 07 cisc102 mgx3110 cs240 11175 fin3020s eco3420 ictten622 comp9727 cpt111 de114102d mgm320h5s bafi1019 math21112 efim20036 mn-3503 fins5568 110.807 bcpm000028 info6030 bma0092 bcpm0054 math20212 ce335 cs365 cenv6141 ftec5580 math2010 ec3450 comm1170 ecmt1010 csci-ua.0480-003 econ12-200 ib3960 ectb60h3f cs247—assignment tk3163 ics3u ib3j80 comp20008 comp9334 eppd1063 acct2343 cct109 isys1055/3412 math350-real math2014 eec180 stat141b econ2101 msinm014/msing014/msing014b fit2004 comp643 bu1002 cm2030
联系我们
EMail: 99515681@qq.com
QQ: 99515681
留学生作业帮-留学生的知心伴侣!
工作时间:08:00-21:00
python代写
微信客服:codinghelp
站长地图