So here we are, here I am, after weeks of swimming upstream in the GIS rapids, with the end in sight, semi-exhausted but well worth it. The last few maps to create and study. This is less a creative process than an analysis process, for I just use the tutorial material and apply it to Thousand Oaks. Again I use my own ArcMap as a layer rather than the one supplied by the class, to keep the focus on TO. See here for more info. Rather than fretting over the format of the drop down menu or the color of the side panel, or the shape of the whole window, I find it more interesting to study the data retrieve from ArcGIS server.
I compare the race make up of 2 particular areas of TO, identified by the polygon and marker; one is known to have a lower number of poverty level, the other higher (based on color gradation). Sure enough, the lower one has a predominantly white population (about 92%), with very very few minorities. The area of higher incidence of poverty, however, indicates more minorities of all kinds, although the percentage of white is still high (75%). But that is a drop of 17%.
Furthermore, comparing the population age and home ownership, a similar pattern appear: (although the information is cropped from view, in web mode the info is revealed by sliding the mouse over the info area) the predominantly white area has a much higher ownership than the one with higher poverty level (93% own vs 69% rent), as per the following maps. Additionally, 35% of the population of the lower poverty level are under 30 as compared to almost 45% in the area with higher poverty level. Conversely, a higher percentage of people are 50 and older in the lower poverty area than the higher level (32% vs 23% ), a sign that a larger older generation of predominantly white people have done much better economically than minorities of young or old ages.
Final Thank yous to Yoh and Madie, and Ryan… Ciao
Dao, a late June night of 2011…