SMT201 AY2019-20T1 EX2 Gui yuqi

Part One - Map Views w Roads, Buildings, Natural Areas and Elevation

Map with Roads

After exracting the Gomback area out, we put the road layer on top. For Road layer, we specificly focus on Servie Roads and Tracks. Since the Disease Quarantine Centre requires a better accessibility factor, so the suitable slot should locate closer to the roads. I used red color to represent track and blue color to represent service roads, so that viewr can better differenciate those two types of roads.
By looking the map view alone, suitable slots should locate at north-east area.

Map with Buildings

I used blue color to represent building areas, as we can see from the map view above, most of the buildings are locate at northern part or sorth-west areas. Since we need to consider the health risk factor, and we need to put the suitable slots far away from populations, in this case, the building areas, thus, based on the building map itself, the suitable slots should be located at southern Gombak area.

Map with Naturals

For the naturals map view, I used different color to represent different type of natural areas. I used green to represent forest, pink for park and baby blue for water. For natural conservation factor, we need to put the suitable slot far away from the natural areas, based on the naturals map alone, the slots should be put around southern Gombak area.

Map with Elevation

As you can see from the Elevation map, I used different color to represent areas with different elevation, yellow areas have higher elevation while the dark areas have lower elevation, green areas have relatively middle elevation.
As you can see, the middle Gombak area is the most elevated, we shoudl consider avoid putting suitable slots here.

Part Two Proximity Raster w Roads, Buildings, Natural Areas and Slope Raster layer

Roads Proximity Map

Min = 0 meters, Max = 742.560163330078 meters
As you can see from the Roads proximity map view, I used dark red color to represent the rastered roads. I used red colors to represent those areas who are closer to roads and I used cold color like blue to represent areas who are far from roads, since the Quarantine Centre should be located close to the roads, the red areas could be the potential slots.

Buildings Proximity Map

Min = 0 meters, Max = 837.627415466309 meters
I used redish color to represent areas which close to the buildings to alarm viewers, becasue those are the areas close to population which are the areas we need to avoid when we choose suitable slots. The areas with cold color like blue, are areas far from population and could be the potential suitable slots.

Naturals Proximity Map

Min = 0 meters, Max = 862.805825134277 meters
I use redish color for areas closer to naturals and darker and colder color for areas which far from the naturals

Slope Raster Map

Min = 0 degrees, Max = 36.3826292610168 degrees

I used blue color to represent those areas who has steep slope and yellow color to represent areas which are more flat.

Part Three - Criterion Scores for various Layers

Criterion Score Calculation

In order to standardise every layer, I used Min-Max Criteria Standardisation Technique.

Formulas:

Roads: 1 - (X - 0 meters ) / 742.560163330078
Slope: 1 - (X - 0 degree ) / 36.3826292610168
The reason why I used 1-(Min-Max Technique) is that for both roads and slope, we need the closer the better and the more flat the better, so those who are closer to roads should have higher score, same as those who are more flat.
BUildings: (X - 0 meters) / 837.627415466309 meters
Naturals: (X - 0 meters) / 862.805825134277 meters
For both buildings and naturals, I just used Min-Max Technique because those areas who are further from building or naturals should have higher score.

Part Four - Analytical Hierarchical Process input matrix

I used the AHP template provided by SCB Associates, the result is shown above. The most important requirement factor is obviously Health risk factor, followed by Natural conservation factor, then Accessibility factor, lastly, the Economic factor. The reason why I rank the factors as above is that Health is always the most important factor ever, and Natural conservation is also one of the most important issue, which is also related to health factor, because we can't live healthly without a good natural environment.

Part Five - Suitability land lots layout

The Suitability Raster Map above is the map I generate with AHP score, the formula I used is:
"Criterion_Roads@1" * 0.143 + "Criterion_Buildings@1" * 0.525+"Criterion_Naturals@1" * 0.239 + "Criterion_Slope@1" * 0.093
I used red color to represent areas with lower score and green color to represent areas with higher score. As you can tell from the map, there are 4 potential suitable slots with relatively higher score, but in order to confirm the suitability of those slots, more steps need to be performed.

As you can tell from the two Binary Suitability Maps above, I classify areas with score lower than 5 as 0, which means not suitable, represented by red color. And I classify areas with socre equals or higher than 5 as 1, which means suitable, represented by green color.
The map on the left is raster map and the map on the right is vector map. The reason I generated vector map is that I can seperate the final suitable slots out and calculate their areas.
As you can see from the those maps, after applying the criteria of score must higher then 5, only 2 suitable slots left, and their areas are 22182 square meters and 54645 square meters respectively, which both fulfilled with the area requirement, thus, the slots 1 and 2 are the final suitable slots.