SMT201 AY2019-20G2 Ex1 Ng Qi Hui

From Geospatial Analytics for Urban Planning
Revision as of 23:35, 15 September 2019 by Qihui.ng.2018 (talk | contribs)
Jump to navigation Jump to search

Distribution of School Types

Distribution of School Types.png

The school types are qualitative data with nominal scales, so I categorized the data in POI_CHAR from the attribute table. I made use of the SVG symbols to symbolize schools. Following that, by assigning a different color to every school type, I could show the distribution of the type of schools throughout Singapore. For better identification purposes, I added the planning area of Singapore and included their labels so that the user can know at a glance where are the different types of schools located at.

Hierarchy of Road Network System

Road network system.png

Since the types of roads in the network system is a form of qualitative data with nominal scales, I chose to categorize the roads. There were too many roads from the network system data initially which resulted in a very messy road network . Hence, I decided to categorize the roads into 6 big categories: Expressways, Highways, Local Access (walk, lane, link), Major Roads (boulevard, avenue, drive), Minor Roads (road, street), and Others. I created a new column RD_CLASS and filtered out the different roads into their various types. Then I opened field calculator to input the corresponding category type to the roads. Each category was assigned a different color for clearer illustration of the composition of the road network system.

Singapore Master Plan 2014 Land Use

Singapore Master Plan 2014 Land Use.png

The land use features are qualitative data, so I used the data in LU_Desc from the attribute table to categorize the various land uses. Since there were too many separate land uses throughout Singapore which resulted in a very complicated map, I decided to merge some land uses which are common together into a larger group category. For instance, I grouped business 1 and business 2 together as ‘Industrial’. A different color was assigned to every land use category so that the user can identify how much of Singapore’s land is being used for that particular purpose.