Difference between revisions of "SMT201 AY2019-20G2 EX1 FAN YIXI"
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To highlight the hierarchy, the expressway lines are made thicker, followed by major road and minor road being the thinnest.<br> | To highlight the hierarchy, the expressway lines are made thicker, followed by major road and minor road being the thinnest.<br> | ||
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'''2014 Master Plan Landuse''' | '''2014 Master Plan Landuse''' | ||
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I made use of the “LU_DESC” variable to differentiate between the various categories, however I did make minor tweaks by creating a variable “CATEGORY”, categorizing some of the variables together. An example would be “Business” where I merged the numerous business variables together for easier reference. <br> | I made use of the “LU_DESC” variable to differentiate between the various categories, however I did make minor tweaks by creating a variable “CATEGORY”, categorizing some of the variables together. An example would be “Business” where I merged the numerous business variables together for easier reference. <br> | ||
For the map, I used the rainbow colour scheme on the areas except for “OPEN SPACE” which I feel that should have more focus to it as those are spaces available for development.<br> | For the map, I used the rainbow colour scheme on the areas except for “OPEN SPACE” which I feel that should have more focus to it as those are spaces available for development.<br> | ||
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+ | == Part 2: Choropleth Mapping == | ||
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+ | '''Aged Population (+65) in 2010 and 2018''' | ||
+ | [[File:Aged Population (+65) in 2010 (1).png|600px|frameless|center]] | ||
+ | [[File:Aged Population (+65) in 2018 (1).png|600px|frameless|center]] | ||
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+ | '''Proportional of Aged Population in 2010 and 2018''' | ||
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+ | '''Percentage change of Aged Population between 2010 and 2018''' |
Revision as of 21:47, 15 September 2019
Part 1: Thematic Mapping
Distribution of Public Education Institution in Singapore
To depic the distribution of public education institution, I made use of the school information layer where the various institutions are categorized by school types.
Each school type is assigned to a specific SVG marker. I decided to use different markers such as books, location pin etc. for each school type in order to differentiate the different institutions.
I decided to use OSM instead of coastal outline for my background as it makes it clearer to the viewer, the institution options available in each subzones.
Hierarchy of Road Network Systemm in Singapore
This map shows the hierarchy of road network system in Singapore, classified under 3 main categories, expressway, major road and minor roads.
Making use of the GIS data from LTA, it allows us to separate the roads into the categories by using the RD_TYPE variable.
To highlight the hierarchy, the expressway lines are made thicker, followed by major road and minor road being the thinnest.
2014 Master Plan Landuse
Using the master plan land use GIS data, I have managed to plot a map representing the various use of land at the moment.
I made use of the “LU_DESC” variable to differentiate between the various categories, however I did make minor tweaks by creating a variable “CATEGORY”, categorizing some of the variables together. An example would be “Business” where I merged the numerous business variables together for easier reference.
For the map, I used the rainbow colour scheme on the areas except for “OPEN SPACE” which I feel that should have more focus to it as those are spaces available for development.
Part 2: Choropleth Mapping
Aged Population (+65) in 2010 and 2018
Proportional of Aged Population in 2010 and 2018
Percentage change of Aged Population between 2010 and 2018