Difference between revisions of "SMT201 AY2019-20G2 Ex1 Mabelle Tham Shiqin"
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=== Figure 3: Masterplan 2014 Landuse === | === Figure 3: Masterplan 2014 Landuse === | ||
[[File:Master Plan 2014 Land Use Mabelle.png|center|1000px|Figure 3: Masterplan 2014 Landuse]] | [[File:Master Plan 2014 Land Use Mabelle.png|center|1000px|Figure 3: Masterplan 2014 Landuse]] | ||
− | [[File:Zone Table.png|center| | + | \n |
+ | [[File:Zone Table.png|center|700px|Figure 3: Zone Table]] | ||
Upon classifying the data using categorized symbology method, there were a total of 31 sub-categories. As classes should be optimally kept between 5-8, I decided to re-group them into 8 categories after using the written statement to better understand the 2014 Master Plan Land use. Thus they are segregated into the following sections namely commercial, educational, industrial, medical, mixed residential-commercial, recreational/spatial, residential and transportation/utility. | Upon classifying the data using categorized symbology method, there were a total of 31 sub-categories. As classes should be optimally kept between 5-8, I decided to re-group them into 8 categories after using the written statement to better understand the 2014 Master Plan Land use. Thus they are segregated into the following sections namely commercial, educational, industrial, medical, mixed residential-commercial, recreational/spatial, residential and transportation/utility. |
Revision as of 02:11, 16 September 2019
Contents
Part One: Thematic Mapping
Figure 1: Road Network System of Singapore
Data sourced from LTA did not have distinctly categorized road types, hence I used QGIS to categorize the roads by Road Type – categorizing them into Expressways, Major Roads and Minor Roads segregating them by colour and thickness.
Figure 2: Road Network (Close Up)
For this map, I chose to contrast the roads using bright and distinct colours for the roads as seen from the 1cm thick bright yellow for Expressway, 0.5cm thick dark blue for Major Road and 0.25cm thin bright orange line for minor roads. For enhanced and clearer visualization, I applied the buffer for each label, ensuring that road names will be easy to read.
Figure 3: Masterplan 2014 Landuse
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Upon classifying the data using categorized symbology method, there were a total of 31 sub-categories. As classes should be optimally kept between 5-8, I decided to re-group them into 8 categories after using the written statement to better understand the 2014 Master Plan Land use. Thus they are segregated into the following sections namely commercial, educational, industrial, medical, mixed residential-commercial, recreational/spatial, residential and transportation/utility.