SMT201 AY2019-20G2 Ex1 JerryTohvan

Part 1: Thematic Mapping

Data	Visualisation & Processing Technique
General information of schools from the “School Directory and Information” dataset retrieved from data.gov.sg.	Layer: School Symbology: Categorised by `mainlevel_` attribute which indicates if an indicated point belongs to either centralised institute, junior college, mixed level, secondary or primary school. Each category is labeled with following color: FIGURE I SCHOOL CATEGORISATION Color choices were contrasted differently from other components/layers for easy reference. Processing: The initial dataset was geocoded using the MMQIS by its `address` field in order to retrieve `latlong` projection of the data points. Data not found: - RAFFLES INSTITUTION, 1 RAFFLES INSTITUTION LANE. - BOWEN SECONDARY SCHOOL ,2 LORONG NAPIRI.
“Masterplan 2014 Landuse” dataset retrieved from data.gov.sg.	Layer: Land Use Symbology: Light Grey simple fill FIGURE II SCALE VISIBILITY Visualisation Rule: The visibility of Land Use layer is automatically displayed as the user zooms in approximately 1-2 times.
SLA’s National Map Line retrieved from data.gov.sg. Road Selection Line dataset retrieved from SLA provided by Prof Kam (HandsOnEx1).	Layer: Map Line & Road Network Visualisation Rule: FIGURE III ROAD SELECTION LINE AND MAP LINE Processing: 2 datasets was used to represent different types of road. The national map line only provides expressway, major roads, international boundary and contour lines, the road selection data provides overall road network in Singapore. The Map Line layer highlights its road types using the categorisation rule, applying different colours and line width to emphasize type of road. The minor road can be implied by excluding road network that belongs to express way, intersections, and major roads.
“MP14_SUBZONE_NO_SEA_PL” by URA retrieved from data.gov.sg.	Layer: MP14_SUBZONE_NO_SEA_PL Symbology: Light Brown simple fill Was included to provide a macro view base layer as an optional display. The layer represents subzones that could be useful in interpreting where road networks or school is located. OpenStreetMap view could also be used, however the subzone layer better express the subzone boundaries through a simple display.