SMT201 AY2019-20T1 EX2 Lee Jung Jae

Part I: A map layout with four views showing Gombak (Roads, Natural Features, Buildings and Elevation)

Roads

The Roads layer shows all the roads and their types that exists within Gombak Subzone area. From the illustration, we can see that there are many sparse areas where there are no roads network at all. This could indicate that there are possibly many areas that are suitable or not suitable for building a national Communicable Disease Quarantine Centre. Further analysis is required to make a decision.

Natural Features

The Natural features layer illustrates the different types of natural bodies that exist within Gombak Subzone area (Forest, Park, and Waterbody). As similar to the road network, there aren't much attributes within the natural features inside Gombak Subzone area.

Buildings

The Buildings layer shows the distribution of buildings inside the Gombak Subzone area. As illustrated, we can witness that most of the buildings exist at the boundaries of Gombak area and only a few exists within the central area.

Elevation model

Building on from the previous layers descriptions, we can see through the elevation map that the Central to the Southern part of Gombak Subzone area have high-elevation characteristics, making it difficult for the places to be developed with buildings and roads.

Part II: A map layout with four views showing Proximity to Gombak Roads, Natural Features, Buildings and Slope

Roads Proximity

The roads proximity map shows the proximity level of roads that exist within Gombak Subzone area. The darker areas represent closer proximity level, indicating that there are many areas within Gombak subzone area that are fairly accessible from the roads.

Natural Features Proximity

The white colors in the map represent high level of proximity in this layer. As seen in the illustration above, we can notice that there are several white spots that passes throughout the central and southern region of Gombak Subzone area. This indicates that most of the natural features are fairly far away from one another.

Buildings Proximity

As illustrated in part 1, we can already see that most of the buildings inside the Gombak Subzone area are quite spread out throughout the central, north, and west regions. As such, we can spot the white colors, which represents high level of proximity, throughout the different parts of Gombak Subzone area.

Slope Proximity

The dark areas indicate a lower and more gentle slope compared to the white areas. From the illustration, we can see that there are various level of slopes that exist throughout the Gombak Subzone areas.

Part III: A map layout showing the criterion scores of each factor layers

In order to standardize the values to prepare for criterion scoring models, the Z-score (MinMax) Standardization approach was used.
Standardization = [Proximity to Features - Min(Proximity to Features)] / [Max(Proximity to Features) - Min(Proximity to Features)]

Roads Criterion Scores

Min = 0, Max = 750
Calculation method: 1 - [RoadsProximity - Min(RoadsProximity )] / [Max(RoadsProximity ) - Min(RoadsProximity )]

Natural Features Criterion Score

Min = 0, Max = 905
Calculation method: [NaturalFeaturesProximity - Min(NaturalFeaturesProximity)] / [Max(NaturalFeaturesProximity) - Min(NaturalFeaturesProximity)]

Buildings Criterion Score

Min = 0, Max = 868
Calculation method: [BuildingsProximity - Min(BuildingsProximity)] / [Max(BuildingsProximity) - Min(BuildingsProximity)]

Slope Criterion Score

Min = 0, Max = 34.5
Calculation method: 1 - [SlopeProximity - Min(SlopeProximity)] / [Max(SlopeProximity) - Min(SlopeProximity)]

Part IV: Analytical Hierarchical Process input matrix and result report

Description

This AHP input matrix and result report was generated by using the AHP template provided by AHP Template provided by SCB Associates. Since the very purpose of this illustration is to find out the optimal location suitable for building a national Communicable Disease Quarantine Centre, it is important to consider the Health Risk Factor as number one priority among the four factors. The importance AHP percentage weights given to each respective factors are as follows:

1. Health Risk Factor: 48%
2. Accessibility Factor: 30.9%
3. Economic Factor: 13.7%
4. Natural Conservation Factor: 7.4%

Part V: A map layout with the suitability land lot(s)

The suitability of the land to decide whether the land is suitable for building a national Communicable Disease Quarantine Center was found using the following calculation method:
("BuildingProximity"*0.48)+("RoadProximity"*0.309)+("SlopeProximity"*0.137)+("NaturalFeaturesProximity"*0.074)
The map was generated through using the raster calculation tool on QGIS. The result shows that only few areas (indicated with orange polygon) in the Southern region are the most suitable land for building a national Communicable Disease Quarantine Center.

References for data used

1. MasterPlan 2014 Subzone (No Sea) retrieved from: https://data.gov.sg/dataset/master-plan-2014-subzone-boundary-no-sea
2. Roads, buildings and natural features data from OpenStreetMap (OSM) data sets retrieved from: https://download.bbbike.org/osm/bbbike/Singapore/
3. ASTER Global Digital Elevation Model (GDEM) dataset jointly prepared by NASA and METI, Japan retrieved from: https://search.earthdata.nasa.gov/search?m=-7.175!25.59375!1!1!0!0%2C2
4. Excel-based AHP Template retrieved from: https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=17&ved=2ahUKEwi198HV87_lAhXhjuYKHWn1AnEQFjAQegQICRAC&url=http%3A%2F%2Fwww.scbuk.com%2FAHP%2520Template%2520SCBUK.xls&usg=AOvVaw002J8QfYIxOE_I9PYqrH8_