DATA MANIPULATION

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Base on the four criteria, I need to generate at least four map to produce the final map.

Criteria 1: General Land use
When doing the buffer zone for school and public parks, I set a higher factors of 500 meters and the buffer zone for commercial as 250 meters.  Since schools and parks are more important, so I first overlay the two maps and then add the third layer of commercial map.  Then I overlay add the last component of residential layer and generate the last map for this criteria.  This will later combine with other three criteria to generate the final images on best location for homeless shelter.
 
 




Criteria 2: Proximity to Skytrain and Major Roads
From the given data sources, there are no public transit system for the whole GVRD area.  The only data I could get is the main roads which I assume that most of them have public transit route.  The data sources problems might cause some error but I think it is still very limited.  I set a 150 meters buffer zone for the skytrain and main road before overlay the maps.  The resulting map will be use for the final MCE procedure.
 




Criteria 3: Socio-economic indicators
When doing the reclass on income less than $1000 and without income, I set the cut off number to 300 and 500 respectively. Then I overlay this two map first.  The unemployment reclass is also to 300 and then added to the pervious income map. This map will use to the final MCE procedure.  The individual map of average gross rent also done by reclass with 5 classes.
 
 



Criteria 4: Social indicator
The reclass on children under 10 and teenagers are both set to 600 and then I overlay the two maps.  The other map on education level also go through the reclass, education less than grade 9 is set to 1000 while education up to 13 only is set to 1500.  This is only a supporting reference map so I do not need to overlay the two.  Only the children and teenagers map is set ready to the final MCE procedure.
 




Final procedure: I use the MCE function to combine above four maps and calculate the possible best area for homeless shelters.
 







        Index Page      Background         Methodology         Data Collection       Data Manipulation     Spatial Analysis and Result      Problems