SMT201 AY2019-20G1 EX1 Linus Cheng Xin Wei
Revision as of 22:13, 15 September 2019 by Linus.cheng.2017 (talk | contribs) (→Q1a) Using school information from data.gov.sg, prepare a thematic map showing the distribution of public education institution by school types such as primary, secondary, etc.)
Contents
- 1 Q1) Thematic Mapping
- 1.1 Q1a) Using school information from data.gov.sg, prepare a thematic map showing the distribution of public education institution by school types such as primary, secondary, etc.
- 1.2 Q1b) Using road GIS data of LTA, prepare a thematic map showing the hierarchy of road network system of Singapore such as expressway, major road, minor road, etc.
- 1.3 Q1c) Using master plan landuse GIS data from data.gov.sg, prepare a thematic map showing 2014 Master Plan Landuse.
- 2 Q2) Choropleth Mapping
Q1) Thematic Mapping
Q1a) Using school information from data.gov.sg, prepare a thematic map showing the distribution of public education institution by school types such as primary, secondary, etc.
I chose to give the same color to all the school types to signify equal importance between them, as someone that is searching for this information might be parents with a child, who are looking for areas to start their family. To further enhance this map, I split the area by region, so viewers can easily visualize where education clusters are. For example, we can see that the north region is lacking as compared to the other regions I chose pastel colors as it is light on the viewer's eyes, as well as enabling the red points to stand out.
Q1b) Using road GIS data of LTA, prepare a thematic map showing the hierarchy of road network system of Singapore such as expressway, major road, minor road, etc.
Q1c) Using master plan landuse GIS data from data.gov.sg, prepare a thematic map showing 2014 Master Plan Landuse.
Q2) Choropleth Mapping
Q2a) 2010 Population Aged 65 >
Q2a) 2018 Population Aged 65 >
Q2b) 2010 Proportion Aged 65 >
Q2b) 2018 Proportion Aged 65 >
Q2C) Percentage Change From 2010 and 2018
