View source for SMT201 AY2019-20G1 Ex1 Jeremy Chong Zhen Long

'''Part 1'''

'''Distribution of Public Education'''
[[File:Schools Jeremy.png|thumb|left]]





















Thematic map of school distribution in Singapore, classified by “Mainlevel” under layer properties, symbology and choosing categorized.

'''Road Network'''
[[File:Road Jeremy.png|thumb|left]]
 


















Using LTA’s RoadSectionLine, I classified the roads into expressways, minor road and major road by creating a new field called “Road Type”. Major roads have the word roads contained in their name. I categorized them using the same method as above.


'''Masterplan Landuse'''
[[File:Landuse Jeremy.png|thumb|left]]


















 
Thematic map of masterplan landuse 2014, categorized according to the legend.


'''Part 2'''

After downloading the csv file by age group, I cleaned the data on excel to remain the relevant fields and named it as “Population by age and subzone”, which I imported into QGIS. I then joined subzone and the aforementioned csv file together and formed the relevant choropleth maps.

'''Choropleth Map for Population Above 65 2018'''
[[File:Population Above 65.png|thumb|left]]


















 
'''Choropleth Map for Population Above 65 in 2010'''
[[File:Above 65 2010.png|thumb|left]]



















 
Based on the choropleth maps, we see that there are a lot more subzones with aging population in 2018 as compared to 2010. The highest number of ageing population in a subzone has also increased.

'''Choropleth Map for Proportion of Population above 65 in 2018

[[File:Propoertion 2018.png|thumb|left]]


















 
'''Choropleth Map for Proportion of Population above 65 in 2010'''
[[File:Porportion 2010.png|thumb|left]]



















For proportion of population above 65, the same conclusion can be made based on the choropleth map.

'''Changes in Population above 65'''
[[File:Change in Aged.png|thumb|left]]















 




This map mainly summarizes the before choropleth maps. We see that there are many subzones with increases in aging populations.