SMT201 AY2018-19T1 EX1 Lim Jia Yang James

Part 1: Thematic Mapping

Distribution of Public Education Institutes by School Types

I differentiated the different public education institutes namely "Primary", "Secondary", "Mixed Level", "Junior College" and "Centralised Institute" by using Categorized for variable "main_level". Although the original CSV file contains 344 records, my copy only contains 342 records, as I believe that 2 records were lost while geocoding.

Hierarchy of Road Network System

All of Singapore's roads are shown in the map above, broadly categorized to Expressways, Major Roads and Minor Roads. To mimic real world conditions, I made lines representing Expressways thicker and I also chose a darker color. Likewise, I chose a darker color and thicker width lines for the Major Roads as compared to the Minor Roads.

Singapore Master Plan 2014 Landuse

As there are many categories in this layer, the border lines of each segment caused the overall map to look extremely black and hence unable to provide useful information at one glance. I overcame this by reducing the width of the border lines to 0.05mm, this softened most the dark regions and hence the color of the segments are able to come through.

Part 2: Choropleth Mapping

Aged Population in 2010

After downloading the csv file of Singapore's age breakdown, I joined it with the subzone layer. As the subzone layer I used had more subzones than the csv file containing the ages, there were subzones where there were null values for all ages. I replaced these missing values with 0, so as to have a complete looking map as an end product. I then used the Field Calculator to sum up all the age bins from 65 and above to a column 65+ and used that column for Categorizing using Natural Breaks. From this map, I can infer that there were significantly more aged population towards the east side of Singapore in 2010.