Difference between revisions of "SMT201 AY2018-19T1 EX1 Lim Jia Khee"

From Geospatial Analytics for Urban Planning
Jump to navigation Jump to search
Line 3: Line 3:
 
=== Distribution of Public Education Institutions in Singapore ===
 
=== Distribution of Public Education Institutions in Singapore ===
 
[[File:Q1p1.jpeg|800px|center]]
 
[[File:Q1p1.jpeg|800px|center]]
−
<br>
+
My classification choice for this map is through the Categorized " approach, using 'mainlevel_' as the classification variable. I have chosen to differentiate the different classes through colour differentiation, with a fixed symbol size. I did not manipulate the categories within the chosen variable as the fields within the column were already well sorted out with no missing variables. I included an Open Street Map as the background for this will provide a macro understanding of the distribution of the various institution types in a quick glance.
−
This is a point symbol qualitative thematic map with Open Street Map background, with each institution type differentiated by the circle’s colour. The variable used in the creation of point symbols is ‘mainlevel_’. This is the preferred choice of classification for each institution is sorted to one school type (Centralised Institute or Junior College, etc). Secondly, there are no missing values within the variable. And lastly, there are only five different categorisation type within the ‘mainlevel_’ variable. Hence, there is no need to merge/reduce some categories.
 
 
<br><br>
 
<br><br>
  

Revision as of 18:26, 15 September 2019

Part One: Thematic Mapping

Distribution of Public Education Institutions in Singapore

Q1p1.jpeg

My classification choice for this map is through the Categorized " approach, using 'mainlevel_' as the classification variable. I have chosen to differentiate the different classes through colour differentiation, with a fixed symbol size. I did not manipulate the categories within the chosen variable as the fields within the column were already well sorted out with no missing variables. I included an Open Street Map as the background for this will provide a macro understanding of the distribution of the various institution types in a quick glance.

Hierarchy of Road Network System in Singapore

Q1p2.jpeg

xxxx aa12321


2014 Master Plan Landuse

Q1p3.jpeg

xxxx this xxxx

Part Two: Choropleth Mapping

Singapore's Aged Population (65+) in 2010

Q2p1.jpeg

xxxxx

Singapore's Aged Population (65+) in 2017

Q2p3.jpeg

xxx

Proportion of Singapore's Aged Population in 2010

Q2p2.jpeg

123

Proportion of Singapore's Aged Population in 2017

Q2p4.jpeg

123213

Percentage Change of Aged Population From 2010 to 2017

Q2p5.jpeg

123213

Reasoning behind classification choices

123321

References and data sources

1. https://www.data.gov.sg/search?q=school+information
2. https://www.data.gov.sg/dataset/master-plan-2014-land-use
3. https://www.data.gov.sg/dataset/master-plan-2014-subzone-boundary-no-sea
4. https://www.data.gov.sg/dataset/master-plan-2008-subzone-boundary-no-sea
5. https://www.remembersingapore.org/2018/08/15/singapore-street-suffixes/
6. SMT201 elearn - Week 4 Hands on Ex 4 - Coastal Outline Shapefiles from SLA
7. https://www.mytransport.sg/content/mytransport/home/dataMall/search_datasets.html?searchText=road - Road Section Line
8. https://www.data.gov.sg/dataset/singapore-residents-by-subzone-age-group-and-sex-jun-2017-gender
9. https://www.data.gov.sg/dataset/singapore-residents-by-subzone-age-group-and-sex-june-2010-gender

Retrieved from ‘https://wiki.smu.edu.sg/1920t1smt201/index.php?title=SMT201_AY2018-19T1_EX1_Lim_Jia_Khee&oldid=1846’