Difference between revisions of "SMT201 AY2019-20T1 EX1 Renata Dharma"

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<big>Part 1</big>
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In the first stage, 1 data file was sourced:
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# Numbered list item
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1. School Directory and Information zip folder containing a csv file titled 'General information of schools'
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Inside the datasets:
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# Numbered list item
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1. The relevant features of this file include School Name, School Address, Postal Code, MainLevel_Code.
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Data processing:
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# Numbered list item
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1. Due to the x & y coordinates being unavailable from the csv file, each data point must be geocoded into its coordinates on the map. For this, the use of MMQGIS was employed.
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2. The shapefile was then modified such that its projection matched SVY21 / Singapore TM, EPSG:3414
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Visualising the layers:
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1. A point symbol map showing the education institution in Singapore by tenure types was also prepared.
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---------------------------------------------------
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In the second stage, 2 data files were sourced:
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# Numbered list item
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1. Road Selection Line dataset from SLA
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2. SLA’s National Map Line from data.gov.sg
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Inside the datasets:
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From the Road Selection Line dataset, the entire country's Road System Network was obtained, which included the major and minor roads.
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From the National Map Line dataset, major features for national map data represented in polyline form were found. Data includes road data like expressway, major roads, international boundary and contour lines.
 +
 
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Data Processing:
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The data were categorized into 3 different colours: yellow, green and blue. As the island contour lines did not apply to this stage of the Take-Home Exercise, it has been removed so that only Major Road, Expressways and Intersections were shown.
 +
 
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Visualising the layers:
 +
The vector representing Major Roads, Expressways and Intersections have been modified to a larger width so that it is more obvious on the map.
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By making use of layer ordering, by placing (2) over (1), the non-overlapping vectors would represent the Minor Roads.
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[[File:Image 1.jpg|thumb]]
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---------------------------------------------------
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In the 3rd stage, 1 file was sourced:
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1. MP14_Planning Area from data.gov.sg
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Data Processing:
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The layer was modified to ensure consistent projection.
 +
 
 +
Visualising the layers:
 +
The layers' dependent visibility was scaled to a minimum of 1:50000. This ensures that the map does not take too long to render while it was initially opened and that only meaningful base maps were used. At a lower scale, there is a need to see the individual roads and buildings surrounding lanes or roads. However, at a higher level, it is better for the specific area in Singapore to be seen so as to aid analyzing frequency base on each neighbourhood.
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[[File:Annotation at scale 1-50000.png|thumb]]
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[[File:Annotation 2019-09-15 043003.png|thumb]]

Revision as of 04:32, 15 September 2019

Part 1

In the first stage, 1 data file was sourced:

  1. Numbered list item

1. School Directory and Information zip folder containing a csv file titled 'General information of schools'

Inside the datasets:

  1. Numbered list item

1. The relevant features of this file include School Name, School Address, Postal Code, MainLevel_Code.

Data processing:

  1. Numbered list item

1. Due to the x & y coordinates being unavailable from the csv file, each data point must be geocoded into its coordinates on the map. For this, the use of MMQGIS was employed. 2. The shapefile was then modified such that its projection matched SVY21 / Singapore TM, EPSG:3414

Visualising the layers: 1. A point symbol map showing the education institution in Singapore by tenure types was also prepared.


In the second stage, 2 data files were sourced:

  1. Numbered list item

1. Road Selection Line dataset from SLA 2. SLA’s National Map Line from data.gov.sg

Inside the datasets: From the Road Selection Line dataset, the entire country's Road System Network was obtained, which included the major and minor roads. From the National Map Line dataset, major features for national map data represented in polyline form were found. Data includes road data like expressway, major roads, international boundary and contour lines.

Data Processing: The data were categorized into 3 different colours: yellow, green and blue. As the island contour lines did not apply to this stage of the Take-Home Exercise, it has been removed so that only Major Road, Expressways and Intersections were shown.

Visualising the layers: The vector representing Major Roads, Expressways and Intersections have been modified to a larger width so that it is more obvious on the map. By making use of layer ordering, by placing (2) over (1), the non-overlapping vectors would represent the Minor Roads.

Image 1.jpg

In the 3rd stage, 1 file was sourced: 1. MP14_Planning Area from data.gov.sg

Data Processing: The layer was modified to ensure consistent projection.

Visualising the layers: The layers' dependent visibility was scaled to a minimum of 1:50000. This ensures that the map does not take too long to render while it was initially opened and that only meaningful base maps were used. At a lower scale, there is a need to see the individual roads and buildings surrounding lanes or roads. However, at a higher level, it is better for the specific area in Singapore to be seen so as to aid analyzing frequency base on each neighbourhood.

Annotation at scale 1-50000.png
Annotation 2019-09-15 043003.png