Difference between revisions of "SMT201 AY2019-20G2 Ex1 FOO CHUAN GENG"

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== Part 1: Raster ==
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== A map layout with four views showing ==
  
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*  '''Distribution of public education institution'''
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=== Study area and the target roads ===
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[[File:All Schools .jpg|none|800px|caption]]
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a short description of not more than 100 words for each view.
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I have use the code provided by our coursemate to plot the school data points as using mmqgis will result in missing data points
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=== Study area and buildings ===
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<br />
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a short description of not more than 100 words for each view.
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Classified the data according to its school types, which each data points having a unique symbol ...
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=== Study area and the target natural features ===
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<br />
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a short description of not more than 100 words for each view.
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Source : https://data.gov.sg/search?q=school+information
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=== Study area and digital elevation ===
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a short description of not more than 100 words for each view.
  
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*  '''Hierarchy of road network system'''
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== Map layout (Proximity) ==
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[[File:Roadline.jpg|none|800px|caption]]
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=== Study area and proximity to target roads layer===
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a short description of not more than 150 words for each view.
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=== Study area and proximity to buildings layer ===
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a short description of not more than 150 words for each view.
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=== Study area and proximity to target natural features layer ===
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a short description of not more than 150 words for each view.
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=== Study area and slope layer ===
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a short description of not more than 150 words for each view.
  
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I classify the road network according to its road types , there are 3 different road types differentiated by different colours
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== Map layout (Criterion scores) ==
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<br />
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A map layout with four views showing the criterion scores of each factor layers and a short description of not more than 150 words for each view
  
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Source : https://data.gov.sg/dataset/national-map-line
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==Analytical Hierarchical Process input matrix==
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Result report and a short description of not more than 150 words discussing the analysis results.
  
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*  '''2014 Master Plan Landuse'''
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== Suitability Land Lot Map Layout ==
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Short description of not more than 200 words commenting on each of the suitable land lot identified.
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[[File:MASTERPLAN 2014 LANDUSE.png|none|800px|caption]]
 
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I categorize the map based on the Land Usage , initially i wanted to group the attributes with common words , but i feel that those attributes may meant different operations to the planner
 
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e.g. Buisness 1 , Buisness 1 - White, Business 2
 
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Source : https://data.gov.sg/dataset/master-plan-2014-land-use
 
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== Part 2: Proximity Raster Layer==
 
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<br />
 
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* '''Aged population (+65) in 2010 and 2018'''
 
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[[File:AGE65 2010.jpg|none|800px|caption]]
 
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[[File:AGE65 2018.jpg|none|800px|caption]]
 
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For both maps, there is a large number of aged population in the east side of Singapore as the darker the colours , the more the ageing population
 
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There is also an increasing number of aged population from 2010 - 2018
 
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* '''Proportional of aged population in 2010 and 2018'''
 
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[[File:AGEPROP2010.jpg|none|800px|caption]]
 
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[[File:AGEPROP2018.jpg|none|800px|caption]]
 
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The proportion of aged population is more spreaded out across Singapore
 
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There is also an increasing number of aged proportion from 2010 - 2018
 
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* '''Percentage change of aged population between 2010 and 2018'''
 
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[[File:PerChnge.jpg|none|800px|caption]]
 
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* '''Discussion'''
 
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For the data for age population 2010 & 2018 , a lot of data cleaning is involve, i reference the data layout in excel with one of the take home exercise where we are given the age population excel data set . One of the challenge that I face that the column for all the values are recognize by qgis as string format due to it having a comma e.g. '1,200', once i change the column properties to make it 'general' e.g. '1200', qgis recognize it as integer / double which solves the problem.
 
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For Aged population (+65) in 2010 and 2018, I added the columns from 60-65 till 85 & over.
 
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For Proportional of aged population in 2010 and 2018, I use Aged population (+65) / The total age columns * 100 to get the percentage
 
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<br />
 
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For the percentage change of age population 2010 & 2018, I joined the shape file of 2008 and 2014 Master Plan , and also the excel file of 2010 and 2018 to calculate the percentage change.
 
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Source : https://www.singstat.gov.sg/find-data/search-by-theme/population/geographic-distribution/latest-data
 

Revision as of 20:46, 7 November 2019

A map layout with four views showing

Study area and the target roads

a short description of not more than 100 words for each view.

Study area and buildings

a short description of not more than 100 words for each view.

Study area and the target natural features

a short description of not more than 100 words for each view.

Study area and digital elevation

a short description of not more than 100 words for each view.

Map layout (Proximity)

Study area and proximity to target roads layer

a short description of not more than 150 words for each view.

Study area and proximity to buildings layer

a short description of not more than 150 words for each view.

Study area and proximity to target natural features layer

a short description of not more than 150 words for each view.

Study area and slope layer

a short description of not more than 150 words for each view.

Map layout (Criterion scores)

A map layout with four views showing the criterion scores of each factor layers and a short description of not more than 150 words for each view

Analytical Hierarchical Process input matrix

Result report and a short description of not more than 150 words discussing the analysis results.

Suitability Land Lot Map Layout

Short description of not more than 200 words commenting on each of the suitable land lot identified.

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