SMT201 AY2019-20G2 Ex1 Soh Bai He

From Geospatial Analytics for Urban Planning
Revision as of 16:54, 15 September 2019 by Baihe.soh.2018 (talk | contribs)
Jump to navigation Jump to search

Part One: Thematic Mapping


Public Education Institutions

Data Source: data.gov.sg / File: general-information-of-schools.csv


Data Handling: general-information-of-schools.csv is geocoded into school_information.shp

Choice of Classification: 1) Categorisation by school type. Junior College and Centralised Institute are grouped together as both offers pre-university courses and lead to the ‘A’ Level examinations. 2) Categorisation by region to facilitate easier visualisation of the distribution of schools by region.

Visual Variable: An SVG marker of a book is used as the symbol. Different colours are used for each school type/region for easier identification.

Feature count: Total (344), Primary (181), Secondary (138), Mixed Level (14), Junior College/Centralised Institute (11)

Observation: Of all school types, Junior College/Centralised Isntitute has the least number. However, the existing ones are well distributed across Singapore with every region covered.


Road Network System

Data Source: mytransport.sg / File: RoadSectionLine.shp

2014 Master Plan Landuse

Data Source: data.gov.sg / File: G_MP14_LAND_USE_PL.shp

Part Two: Choropleth Mapping

Aged population (+65) in 2010 and 2018

Data Source: data.gov.sg / File: SUBZONE_AGE_GENDER_2010.shp
Data Source: singstat.gov.sg / File: SGResidentPopulationAgeGroupSex_2018.csv

Proportional of aged population in 2010 and 2018

P2b-2010.jpg
P2b-2018.jpg

Percentage change of aged population between 2010 and 2018

P2c.jpg

References & Acknowledgements