spatialanal

Non-Market Housing in Vancouver

Spatial Analysis

Upon having the appropriate coverages needed to conduct my spatial analysis, I was then able to prepare for my Multi-Criteria Evaluation using a Weighted Linear Combination. To show the most appropriate area for new non-market housing units, I needed to calculate the distance from commercial areas, skytrain stations and parks. This gave me distances beyond the spatial scope of my project (Vancouver), so I then overlaid (logical Boolean AND) these distances with my Vancouver coverage. Click here to see the resulting Distance Coverages . To each of these new coverages, I assigned fuzzy values with a linear monotonically decreasing function, where a = 0 and b = 800. 800 meters was chosen to be the maximum distance to travel by foot to these amenities. I also assigned fuzzy values to the residential types, the average annual household income, and the total number of non-market housing units. To see these fuzzy coverages, please click here .

These fuzzy values created new images which were then assigned weights . These images and weighted values could then be applied to the Multi-Criteria Evaluation WLC function. Click to see the resulting images and cartographic model .

By overlaying (logical Boolean OR) the dotareas coverage with the suitability coverage, I was able to determine the best and worst neighbourhoods to develop in. According to my analysis, Grandview Woodlands is the best nieghbourhood to develop new non-market housing, while Kerrisdale is the worst. Below are the corresponding images.

To contextualize both of the above images, the following map is that of Vancouver

Next: Problems and Discussion

Back to Table of Contents