SMT201 AY2019-20G2 Ex1 Ng Poh Yeng
Revision as of 01:14, 15 September 2019 by Pohyeng.ng.2017 (talk | contribs)
Contents
Part One: Thematic Mapping
Level of Schools
As the classification data of each school was discrete in nature, categorized symbology was used to visualise the distribution of public educational institutes. For each category of educational institutes, different symbols and colours were used such that they could be easily told apart from each other. Some python code was used in order to geocode the educational institutes onto QGIS as only their ZIP codes were provided in the dataset.
Subzone data provided by data.gov.sg was used as the backdrop such that the reader would be able see the distribution of schools across Singapore.
Road Network System
nnn
2014 Master Plan Landuse
nnn
