Spatial Analysis
Two different maps were generated from the multi-criteria evaluation. One was made using equal weighting and the other using weight defined by myself under the analytical hierarchy process (AHP) analysis in Decision Wizard. These maps were base on the constraints and factors the were discussed in the methodology section. The factors and constraints were given different suitability in each map to create the FUZZY maps shown in the methodology. The FUZZY maps rank the areas in Vancouver on a scale of 0 to 255 based on there suitability. Below are the two MCE maps of Vancouver that were generated from the FUZZY maps and the weighting associated with each.
Multi-Criteria Evaluation maps of Vancouver
The map above is a multi-criteria evaluation map of the best location for a new coffee shop location in Vancouver. The results are shown in a scale ranking suitability on a scale of 0 to 255 with 255 being the highest suitability. The user-defined weights are shown below along with a Pairwise Comparison showing how the weight were derived.
For the map above the all the factors are equally weighted. This means at they receive a 0.143, and that no one factor is of anymore importance then another. The results rank the areas in the city based on a scale of 0 to 255, with 255 being the highest suitability.
User-defined weights that were derived from the Pairwise Comparison below.
The Pairwise Comparison 9 point Continuous Rating Scale, in IDRISI Decision Wizard. It helps to create a user-defined weighting system between different factor the Pairwise Comparison here was used to produce the weights above and the MCE maps.
Shown above are the weights that I gave to the different factors. I gave the factor based on the percent of the population between 25-60 years old, the major roads distance factor, and the skytrain stations distance factor are all equal weighting because I viewed them as all being the 3 most important factors due to the fact that they would bring the most tariff to a coffee shop located in an area where all 3 of the factors. The reason that bus stops received a much lower importance then skytrain stations is due to the fact that there are considerably more bus stops then skytrain stations in Vancouver. The reason that income and Starbucks received the next lowest was due to the fact that most goods in a coffee shop are relatively inexpensive, and because even though Starbucks is a profitable coffee company, due to the amount of coffee shops they have there is a high possibility that they would locate in an area that less suitable then I would like. Finally people who walk or take transit to work receive a moderate importance because although it is important to have people walk by your store it is more important to have a coffee shop in a high tariff location. The data was aggregated into a ratio and therefore there could be a small population in a certain DA with large amount of people who walk and take public transit to work resulting in importance being placed on a low population.