SMT201 AY2019-20G1 EX1 Linus Cheng Xin Wei

From Geospatial Analytics for Urban Planning
Jump to navigation Jump to search

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.


School Distribution,2019.png

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.

I derived the classification through the national map line(contains expressways, sliproads and major roads). I cross-referenced the national map line and assumed that roads not belonging in the national map line are minor roads. One technique I have used to show the hierarchy of roads is adjusting the thickness of the line for each class, the thicker the higher it is. I have select the colours by the intensity as well, a more "intense" colour signifies an important road. One thing I noticed is the large amount of minor roads cluttered around SMU, which is a pain to drive around.


Road Hierachy,2019.png

Q1c) Using master plan landuse GIS data from data.gov.sg, prepare a thematic map showing 2014 Master Plan Landuse.

As there were many classes in this data set, I first binned the similar classes together to reduce the amount. I also changed the texture of the residential class, since it was a majority class and it was hard to understand if it was a normal fill texture like everything else. Something interesting is that the newly planned residential area, Tengah new town, stands out as an empty white polygon towards the west. We can also see that majority of the west region is used for business


Planned Landuse, 2014, compressed.png

Q2) Choropleth Mapping

Q2a) 2010 Population Aged 65 >

East has larger population of aged, jurong has a large population too


Absolute, 2010.png


Absolute distribution 2010.png

Q2a) 2018 Population Aged 65 >


Absolute, 2018.png


Absolute distribution 2018.png

Q2b) 2010 Proportion Aged 65 >


Proportion, 2010.png


Proportion distribution 2010.png

Q2b) 2018 Proportion Aged 65 >


Proportion, 2018.png


Proportion distribution 2018.png

Q2C) Percentage Change From 2010 and 2018


Percentage Change, comparison between 2010 and 2018.png


Percentage distribution.png