SMT201 AY2019-20T1 EX1 Lim Qiu Hui Candy

1.1 School Distribution

Since institution type is measurable on a nominal scale, I chose point symbols (eg. a book) to indicate the schools on the map and for a reader’s easier understanding. Contrasting hues for the point symbols were used to differentiate between the 4 types of schools. The classification above was done by categorizing the data based on the “mainlevel_” column. OpenStreetMap is used as a background for my map, for readers to identify the rough locations of the schools easily.

1.2 Road Network System

Similar to 1.1, the data in 1.2 is qualitative and measured on a nominal scale. Lines are used to represent the roads instead and to differentiate between the 3 main types of roads, contrasting hues and line thickness were used. As such, the reader can easily tell that the thickest line represents expressways, thinnest line represents minor roads, just like how the width of these roads are in real life.

1.3 Master Plan Landuse

Polygons of different hues are used to represent the land use types. To allow clearer understanding of the map, I decluttered the classification result by grouping similar categories together, based on its official definition. For example, “Business, Industry”, “Commercial” and more are simplified categories. Lines are used to represent “Roads” like 1.2. For “Open Space” and “Reserve Site”, line pattern fills are used so that at a glance, readers know that these are open lands that can potentially be developed – if one is interested in doing so. Planning area labels are also included for easier identification of areas.