SMT201 AY2019-20T1 EX1 Eugene Choy Wen Jia

Part One

2014 Master Plan Landuse

Categorized Symbology was used to show a visual representation of the various different usage of land in Singapore. Similar categories were grouped together (Business, Business 1, Business Park) to avoid displaying too many colors which may be confusing and difficult to understand. A pattern with lines is used on Open Space to show that the spaces were not planned for any specific kind of development. This clear distinct visualization makes it easier for user potential user who plans for Land Use to know that this space is opened for planning.

Road Section Line

Road Section Lines are represented with Categorized Symbology as well. The type of roads are categorized with various width instead of difference in color, with Expressways having the thickest width. This helps the user to visualize the hierachy of the various road. The types of road are derived by whether it is a "Road , drive, Expressway" with reference from Remember Singapore.

Distribution of School by Type in Singapore

To achieve the location for each school. The information from general-information-of-schools was geocoded with the OneMap API using Python code. The Geocode shape layer is also later joined with general-information-of-school to get the various school types. The schools in the Thematic Map is represented by a Book SVG and the various colors show the different type of school (Primary, Secondary, Junior College). It appear like the most type of school in Singapore is Secondary.

File Structure for Part One

The Layers for the map were all saved into Geopackage (root/geopackage/take-home-ex1-pkg) with the corresponding Style for each Layer saved into (root/styles). The corresponding GeoPackage Layer and Style is as follows:

Map Layer	GeoPackage Layer Name	Style Path	Remarks
G_MP14_LANDUSE_PL	TakeHome1_MP14_LandUse	TakeHome1_MP14_LandUse_Style	-
RoadSectionLine	TakeHome1_RoadSectionLine	TakeHome1_RoadSectionLine_Style	-
Schools	TakeHome1_Schools	TakeHome1_Schools	Geocoded from general-information-of-schools with Python Cdoe
general-information-of-schools	TakeHome1_SchoolInfo_csv	-	CSV for list of schools and their types

Part Two

Age Population (65 and Above) in Singapore by Subzone for Year 2010 & 2018

Before performing Graduated symbology, several steps were required to prepare the data for importing into QGIS. Firstly, the data is saved into a CSV format and the values were converted into numbers(had to remove the commas). A CSVT (Type for each Column) was also created to allow QGIS to understand the various data type for each column. I also created a new field and added the vaues for age 65 and above. Lastly, a new column was also created to Upper case the Subzone in the csv so that a join can be performed with the Subzone Map Layer.

Proportion of Aged Population (65 and Above) in Singapore by Subzone for Year 2010 & 2018

Percentage Change of Aged Population (65 and Above) in Singapore by Subzone from Year 2010 to 2018

Classification Choice, New Variables, Relevant Judgement and Assumptions

Graduated Symbology were performed on all Choropleth Mapping

References & Acknowledgements

Data.gov For SHP file data
Department of Statistics For Subzone Age statistics
Remember Singapore Understanding how to differentiate Expressway, Major Road, Minor Road