Difference between revisions of "SMT201 AY2019-20G1 Ex2 Lim Shen Jie"

From Geospatial Analytics for Urban Planning
Jump to navigation Jump to search
(Created page with "== Part 1: Thematic Mapping == === Schools === 800px|thumb|center|Schools ==== Description ==== The cartographic technique used to categor...")
 
Line 1: Line 1:
== Part 1: Thematic Mapping ==
+
== Part 1: Standard view of study areas ==
=== Schools ===
+
[[File:LSJ Standard four.png|800px|thumb|center|Standard view of study areas]]
[[File:Map1 schools zoomed out.png|800px|thumb|center|Schools]]
 
 
==== Description ====
 
==== Description ====
 
The cartographic technique used to categorize the schools by their main_level was hue. That is because the main_level attribute is a nominal data. Point symbols are the best for schools because it would be able to pinpoint their exact location.
 
The cartographic technique used to categorize the schools by their main_level was hue. That is because the main_level attribute is a nominal data. Point symbols are the best for schools because it would be able to pinpoint their exact location.
Line 9: Line 8:
 
2. [https://data.gov.sg/dataset/school-directory-and-information School Directory and Information]
 
2. [https://data.gov.sg/dataset/school-directory-and-information School Directory and Information]
  
=== Roads ===
+
== Part 2: Raster view of the study areas ==
[[File:Map2 roads zoomed out.png|800px|thumb|center|Roads]]
+
[[File:LSJ Raster four view.png|800px|thumb|center|Raster view of the study areas]]
 
==== Description ====
 
==== Description ====
 
As the roads were not categorized by their road type, a calculated field was needed to generate the road type for the roads based on the name of the road. The cartographic technique used to categorize the roads by the RD_DESC was hue. That is because the RD_DESC data is nominal. To represent the roads on the map, lines are the best way to pinpoint the exact location of the roads.
 
As the roads were not categorized by their road type, a calculated field was needed to generate the road type for the roads based on the name of the road. The cartographic technique used to categorize the roads by the RD_DESC was hue. That is because the RD_DESC data is nominal. To represent the roads on the map, lines are the best way to pinpoint the exact location of the roads.
Line 18: Line 17:
 
2. [https://data.gov.sg/dataset/master-plan-2014-land-use/ Master Plan 2014 Land Use]
 
2. [https://data.gov.sg/dataset/master-plan-2014-land-use/ Master Plan 2014 Land Use]
  
=== Land Usage ===
+
== Part 3: Raster view showing the criterion scores of the study areas ==
[[File:Map3 Land usage zoomed out.png|800px|thumb|center|Land Use]]
+
[[File:Minmax.png|800px|thumb|center|Raster view showing the criterion scores of the study areas]]
 
 
==== Description ====
 
The cartographic technique used to categorize the land usage was hue. That is because the land use attribute is a nominal. Areas is the best way to to pinpoint their exact location, because every piece of land has a unique shape.
 
 
 
== Part 2 Choropleth Mapping ==
 
=== 2010 Aged population 65+ years old ===
 
[[File:Map4 2010 population aged 65.png|800px|thumb|center|Schools]]
 
=== 2018 Aged population 65+ years old ===
 
[[File:Map5 2018 population aged 65.png|800px|thumb|center|Schools]]
 
  
 +
== Part 4: AHP tables ==
 +
[[File:LSJ AHP.JPG|800px|thumb|center|Pair-wise comparison]]
 +
[[File:LSJ AHP column totals.JPG|800px|thumb|center|Resulting weightage]]
 
==== Description ====  
 
==== Description ====  
 
The number of people that were older than 65 years increased from 2010 to 2018
 
The number of people that were older than 65 years increased from 2010 to 2018
=== 2010 Proportion of aged population 65+ years old ===
 
[[File:Map7 2010 proportion.png|800px|thumb|center|Schools]]
 
 
=== 2018 Proportion of aged population 65+ years old ===
 
[[File:Map6 2018 proportion of people 65.png|800px|thumb|center|Schools]]
 
The proportion of people that were older than 65 years old as compared to the rest of the population increased in some areas of Singapore from 2010 to 2018.
 
 
=== Percentage of aged population change from 2010 to 2018 ===
 
[[File:Map8 percentage.png|800px|thumb|center|Schools]]
 
Overal, majority of the subzones in Singapore had an increase in the aged people.
 
  
 +
== Part 5: Suitable land ==
 +
[[File: LSJ Suitable land.png|800px|thumb|center|Suitable land]]
  
 
==== Discussion ====
 
==== Discussion ====
===== Classification =====
 
  
 
==== Sources ====
 
==== Sources ====

Revision as of 13:44, 9 November 2019

Part 1: Standard view of study areas

Standard view of study areas

Description

The cartographic technique used to categorize the schools by their main_level was hue. That is because the main_level attribute is a nominal data. Point symbols are the best for schools because it would be able to pinpoint their exact location.

Sources

1. Master Plan 2014 Land Use 2. School Directory and Information

Part 2: Raster view of the study areas

Raster view of the study areas

Description

As the roads were not categorized by their road type, a calculated field was needed to generate the road type for the roads based on the name of the road. The cartographic technique used to categorize the roads by the RD_DESC was hue. That is because the RD_DESC data is nominal. To represent the roads on the map, lines are the best way to pinpoint the exact location of the roads.

Sources

1. Road Section Line from DataMall 2. Master Plan 2014 Land Use

Part 3: Raster view showing the criterion scores of the study areas

Raster view showing the criterion scores of the study areas

Part 4: AHP tables

Pair-wise comparison
Resulting weightage

Description

The number of people that were older than 65 years increased from 2010 to 2018

Part 5: Suitable land

[[File: LSJ Suitable land.png|800px|thumb|center|Suitable land]]

Discussion

Sources

1. Master Plan 2008 Subzone Boundary (No Sea) 2. Master Plan 2014 Subzone Boundary (No Sea) 3. Singapore Residents by Planning Area/Subzone, Age Group and Sex, June 2000 - 2018