Difference between revisions of "SMT201 AY2019-20G2 Ex1 Soh Bai He"

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[[File:P1b-roadnetwork.jpg|700px|thumb|left|Data Source: mytransport.sg / File: RoadSectionLine.shp]]<br>
 
[[File:P1b-roadnetwork.jpg|700px|thumb|left|Data Source: mytransport.sg / File: RoadSectionLine.shp]]<br>
'''Data Handling & Choice of Classification:''' RoadSectionLine.shp is exported into .csv format and new columns RD_CAT_NO, RD_MAIN_CAT, RD_SUB_CAT are added on excel (road-section-category-sorted.csv). Roads are then categorised with reference to [https://www.ura.gov.sg/-/media/Corporate/Resources/Publications/Streets-and-Building-Names/SBNB_handbook_streets.pdf?la=en Urban Redevelopment Authority’s Handbook on Guidelines] for Naming of Streets. Thereafter, I analysed the remaining roads (that do not include the street name descriptors in Table 1) on the OpenStreetMap and grouped them into Arterial/Primary Access as they are minor roads that provide access to developments.<br><br>
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'''Data Handling & Choice of Classification:''' RoadSectionLine.shp is exported into .csv format and new columns RD_CAT_NO, RD_MAIN_CAT are added on excel (road-section-category-sorted.csv). Roads are then categorised with reference to [https://www.ura.gov.sg/-/media/Corporate/Resources/Publications/Streets-and-Building-Names/SBNB_handbook_streets.pdf?la=en Urban Redevelopment Authority’s Handbook on Guidelines for Naming of Streets] (p.13, Annex 1). Thereafter, I analysed the remaining roads (that do not include the street name descriptors in the table below) on the OpenStreetMap and grouped them into Arterial/Primary Access as they are minor roads that provide access to developments.<br>
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{| class="wikitable"
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|-
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! Header text !! Road Category !! Street Name Descriptor
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|-
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| Example || Example || Example
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|-
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| Example || Example || Example
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|-
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| Example || Example || Example
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|-
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| Example || Example || Example
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|}
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'''Visual Variable:''' Line symbols with different colours are used to represent each road type. A warm colour scheme (red > orange > yellow > white) is chosen to highlight the hierarchy of road types. Expressway is given the thickest width as they form the primary network.<br><br><br>
 +
 
  
'''Visual Variable:''' Line symbols with different colours are used to represent each road type. A warm colour scheme (red > orange > yellow > white) is chosen to highlight the hierarchy of road types. Expressway is given the thickest width as they form the primary network.<br><br>
 
  
  

Revision as of 17:41, 15 September 2019

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 Institute 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


Data Handling & Choice of Classification: RoadSectionLine.shp is exported into .csv format and new columns RD_CAT_NO, RD_MAIN_CAT are added on excel (road-section-category-sorted.csv). Roads are then categorised with reference to Urban Redevelopment Authority’s Handbook on Guidelines for Naming of Streets (p.13, Annex 1). Thereafter, I analysed the remaining roads (that do not include the street name descriptors in the table below) on the OpenStreetMap and grouped them into Arterial/Primary Access as they are minor roads that provide access to developments.

Header text Road Category Street Name Descriptor
Example Example Example
Example Example Example
Example Example Example
Example Example Example

Visual Variable: Line symbols with different colours are used to represent each road type. A warm colour scheme (red > orange > yellow > white) is chosen to highlight the hierarchy of road types. Expressway is given the thickest width as they form the primary network.




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