Conclusions
Performing a very accurate and complete MCE takes a lot of time and patience, and should not be taken lightly. Even the most accurate MCE will not be a perfect substitute for real world experience and will still be lacking in regards to cultural and social aspects of an analysis. Data projections from various sources may also be different, leading to further inaccuracies in analysis.
In regards to my analysis, not all low income areas are included due to the land use zones in the area. For example, many parts of Strathcona and Grandview-Woodlands are industrial sectors, which I did not include in suitable areas for urban agricultural initiatives. This would imply that residents living in these areas would not have the benefit of urban agriculture, which I believe is inaccurate, as they may benefit in other ways. It also included many residential areas, which I expected, but also thought that more landuse zones would be included in the final output map. More criteria and factors should have been brought into the MCE to make a more accurate final map, such as population density. The implementation of community urban agriculture initiatives is very complex, and numerous variables were not included, mostly due to my lack of knowledge on the subject. Though the final output map is inherently inaccurate, people living in low income neighborhoods would still benefit greatly from community urban agricultural initiatives.
If I were to do a project like this again, there are many things that I would do differently in regards to capturing an accurate MCE. In order for this MCE to be more successful, a number of constraints and factors should have been included that were not included in this final output map. Additionally, I would have started much earlier to ensure that my data would be compatible and that I had fully thought through the constraints and factors needed for an accurate depiction.