SMT201 AY2019-20T1 EX1 Lee Wan Ning

Part 1:Thematic Mapping

A: Distribution of public education institution by school types

A:Distribution of public education institutions by school type

Choice of classification:

Categorisation by school types

Visual variable:

Using an SVG marker of a graduation hat as symbol

Reason:

School types is a qualitative variable with nominal scale, SVG marker more relevant to the context of education institutions

Observation:

Generally, there are more secondary and primary schools than that of centralised institute mixed levels education institutions and junior colleges. Generally, there are more education institutions congregated near the East and North-East region

B:Hierarchy of Road Network system in Singapore

B:Hierarchy of road network system in Singapore

Choice of classification:
Categorisation by roads

Visual variable:
Using line as symbol

Reason:
Road types is a qualitative variable with nominal scale, road network is more suited to be represented as lines

C:2014 Master Plan Landuse

C:2014 Master Plan Landuse

Choice of classification:
Categorisation by type of uses

Visual variable:
Colour fill as the respective type of land uses

Reason:
Type of land uses is a qualitative variable with nominal scale, colour fill as it is more relevant to the context of land uses

Part 2:Choropleth Mapping

A: Aged population in 2010 and 2018

A: MP14 subzone aged population 2010

A:MP14 subzone aged population 2018

Choice of classification:
Graduated by values

Visual variable:
Colour fill, with colour intensity increasing with increasing values

Reason:
Aged population is a quantitative variable with nominal scale

Observations:
North-East and East region generally have the most number of aged people. Generally, there has also been an increasing trend of aged population from 2010 to 2018, as evident by the larger range in the scales.The choropleth map of 2010 is incomplete as there are no data for some of the areas, however in choropleth map of 2018, there has been data gathered on this missing areas.

B: Aged population proportion in 2010 and 2018

B:MP14 subzone aged population proportion 2010

B:MP14 subzone aged population proportion 2018

Choice of classification:
Graduated by proportion

Visual variable:
Colour fill, with colour intensity increasing with increasing proportion

Reason:
Aged population is a quantitative variable with nominal scale

Observation:
In contrast with the counts of aged population, it is observed that generally the Central regions have the most proportion of aged. By taking into account the total population, the maps with the aged population proportion is a more accurate estimate of the real situation. Generally, there has also been an increasing trend of aged population from 2010 to 2018, as evident by the larger range in the scales. The choropleth map of 2010 is incomplete as there are no data for some of the areas, however in choropleth map of 2018, there has been data gathered on this missing areas.

C: Percentage change of Aged population between 2010 and 2018

C:MP14 subzone aged population percentage change between 2010 and 2018

Choice of classification:
Graduated by percentage change

Visual variable:
Colour fill, with colour intensity increasing with increasing positive percentage changes

Reason:
Aged population is a quantitative variable with nominal scale

Observation:
Generally, it is observed that the North, West and Central regions have the most percentage increase in aged population. In addition, the West region and the region between Central and East generally have the most percentage decrease in aged population. But generally, there are much more percentage increases and no change in percentages than percentage decreases.

Credits

1. Data.gov.sg