Difference between revisions of "SMT201 AY2019-20G2 Ex1 Soh Bai He"
| Line 3: | Line 3: | ||
<br> | <br> | ||
=== Public Education Institutions === | === Public Education Institutions === | ||
| − | [[File:P1a-schooldistributionbyregion.jpg|700px|thumb|left|Data Source: data.gov.sg / File: general-information-of-schools.csv]] | + | [[File:P1a-schooldistributionbyregion.jpg|700px|thumb|left|Data Source: data.gov.sg / File: general-information-of-schools.csv]] |
| − | |||
'''Data Handling:''' general-information-of-schools.csv is geocoded into school_information.shp | '''Data Handling:''' general-information-of-schools.csv is geocoded into school_information.shp | ||
<br><br> | <br><br> | ||
| Line 16: | Line 15: | ||
<br><br> | <br><br> | ||
'''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. | '''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. | ||
| − | <br><Br> | + | <br><Br><br> |
Revision as of 17:50, 15 September 2019
Contents
Part One: Thematic Mapping
Public Education Institutions
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 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 URA’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.
| Road Category | Street Name Descriptor |
|---|---|
| Expressway and Semi-Expressway (Cat 1) | Expressway, Highway, Parkway |
| Major Arterial (Cat 2) | Boulevard, Avenue, Way |
| Arterial & Primary Access (Cat 3 & 4) | Drive, Street, Road |
| Local Access Roads (Cat 5) | Walk, Lane, Link |
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.
