SMT201 AY2019-20T1 EX1 Eugene Choy Wen Jia
Contents
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. However, the type of roads are categorized with various width instead of difference in color, with Expressways having the thickest width.
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.
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
