Spatial Analysis

  1. Database Querying
  2. Buffering/Boolean
  3. Fuzzy/Distance
  4. MCE

1  Database Querying

The image above shows census tracts with a medium and high proportion of families with children (medium is from 50-59% inclusive, and high is 60% or higher). The database filtering command used is: [%fam_w_children] >= 50 This image shows census tracts where the median household income values fall into the medium and high income categories which I define as $35,000 to $55,000 for medium income and greater than $55,000 as high. The following command was used for the filtering: [med_privH_income] >= 35000


2  Buffering/Boolean


This image was used to mask out the areas not part of the municipality of Burnaby in census_tract96.rst. RECLASS was used to assign all Burnaby census tracts the value of 1.




A simple reclassification where all commercial regions are 1.



A 100 meter buffer was set around the commercial areas to go with the criteria that restaurants can be allowed to locate at the most 100 m from the commercial zone. This image used later as a constraint for the MCE.


3  Fuzzy



This image was generated using FUZZY with a linear distance decay function and control points c = 0 and d = 6000. The regions of highest suitability are dark green. It cleary shows the high population density regions and equal concentric rings radiating outwards.




This image generated using FUZZY with a Sigmoidal monotonically decreasing function and control points c= 100 and d = 1000.




This image generated with FUZZY using a decreasing J-shaped curve with control points c = 30 and d = 200. The first control point c was chosen to be 30 m distance since any restaurant located within this distance of the major roads has optimal access to customers, but beyond this point suitability begins to decline from the maximum suitability value.


4  MCE



This image is created by MCE using WLC and having only the constraint of burnbool which eliminates areas not of Burnaby. This image is highly informative since it shows suitability based upon all criteria. The continuous spatial distribution of suitability based upon the factors can clearly be seen. The green shaded regions in a way defines the high potential market areas for the new restaurant. One can see three distinct regions of high suitability. There is the one in the east which extends into another municipality (Coquitlam), and then there are the northern central region and the southern central region.




This final image uses the MCE with the constraints of burnbool.rst as well as combuff.rst. This knocks out regions that are not within the desired proximity to commercial centers. Then a RECLASS was done which set all values above and including 250 to be 1 and the rest the value 0. This was the more desireable method of presentating the final image of potential sites since it shows clearly defined areas of high suitability. This image should also be complemented with the image above it to present a better understanding of the market area. For this image I overlayed the major roads and restaurants layers on top to help others see the spatial association. One can clearly see that all competitor restaurants are easily accessed by major roads and are within commercial areas.



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Introduction | Data Collection | Methodology | Spatial Analysis | Problem Issues

Created By: Luan Vo
Geography 355, Fall 2000