SMT201 AY2019-20T1 EX2 Lim Jia Khee
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Part 1: Data visualisation of vector layers
Views (from top left to bottom left, clockwise direction) | Description (within 100 words) |
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After filtering our initial road layer for two types of roads, namely Service and Track roads, there are a total of 188 different road osm_id. Of the 188 different road types, there are only two track roads and the remaining 186 roads being of service type. | |
There was no filtering done for this building layer. Of 527 different building osm_id there were only 22 rows where the building types were listed. The remaining 505 rows did not specify their building type and are categorised under 'Others'. | |
The lowest ground in Gombak Planning subzone is 9 metres above sea level, while the highest ground in Gombak Planning subzone is 145 metres above sea level. From the Digital Elevation Map (DEM), the elevation of Gombak appears to follow that of a small hill. | |
After filtering for only parks, water and forest nature types, there are eight such features present in Gombak Planning subzone. Forest features are denoted with a shade dark green as compared to the park features. |
Part 2: Proximity Analysis, Raster Layers
Views (from top left to bottom left, clockwise direction) | Description (within 150 words) |
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The proximity for road layer ranges from between 0m (minimum) and 772.01m (maximum). To better illustrate the road proximity distance of this raster layer, I decided to create five different proximity bands. Majority of Gombak planning subzone falls within 193m from any track/service roads, making this planning subzone area highly accessible by foot. Within the planning subzone, the furthest distance one has to travel is within 579m (demarked by turquoise-coloured areas). This also means that road accessibility is likely to not be a significant problem when selecting a site to build our Quarantine centre. | |
Similar to the target roads layer above, the proximity for building layer ranges from 0m (minimum) to 866m (maximum). To better illustrate the building proximity distance of this raster layer, I used Singleband pseudocolor to create five different proximity bands. Majority of Gombak planning subzone are between 0m and 433.1m apart. Given this densely populated area, it might be difficult to find an appropriate location that is far enough from all buildings in Gombak planning subzone. Hence, a premium will be placed on sites that are far away from all buildings within the Gombak planning subzone to prevent the spread of infectious diseases once the quarentine center is operational. | |
From the raster image above, most of the land in Gombak have a steepness that is between 0 and 9.2 degrees. Only a small handful of land in Gombak Planning subzone have steepness of above 18.4 degrees, with the steepest being 36.9 degrees. It appears that the land in Gombak is relatively flat, with small patches of relatively steep grounds. When selecting our quarentine centre site, it is best to avoid the spots that are turquoise or blue in colour (between 18.4 and 36.9 degrees in steepness). This will help manage and keep construction cost low. | |
Similar to the target roads layer above, the proximity for building layer ranges from 0m (minimum) to 866m (maximum). To better illustrate the building proximity distance of this raster layer, I used Singleband pseudocolor to create five different proximity bands. Majority of Gombak planning subzone are between 0m and 433.1m apart. Given this densely populated area, it might be difficult to find an appropriate location that is far enough from all buildings in Gombak planning subzone. Hence, a premium will be placed on sites that are far away from all buildings within the Gombak planning subzone to prevent the spread of infectious diseases once the quarentine center is operational. |
Part 3: Standardisation of Proximity Analysis, Min-Max method
Views (from top left to bottom left, clockwise direction) | Description (within 100 words) |
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Part 4: Analytical Hierarchical Process (AHP) input matrix and result report
Data | Source | Data Description | Source URL | Data Type |
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Part 5: Suitable landlot(s) identified
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