Difference between revisions of "EX2 Lim Zhong Zhen Timothy"
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===Data preparation=== | ===Data preparation=== | ||
In order to do a ranked analysis, the layer data have to be normalised as the data now vary in scale. To that, '''Min-Max''' normalisation was used. <br> | In order to do a ranked analysis, the layer data have to be normalised as the data now vary in scale. To that, '''Min-Max''' normalisation was used. <br> | ||
| − | For example, To normalise road proximity:" "Prox_road@1" / 703.28" | + | For example, To normalise road proximity, we take the (current_data - min_of given layer)/(max_of given layer - min_of given layer):" "Prox_road@1" - 0 / (703.28" - 0) |
| + | <br> | ||
| + | Another thing to note, is that the results for roads and steepness needs to be inversed. As the closer the roads or less steep the land the '''better'''! | ||
| + | Thus, I took (1 - normalised data) to get the correct comparison. | ||
| + | <br> | ||
| + | ===Next step=== | ||
| + | {| class="wikitable" | ||
| + | |- | ||
| + | | Factor | ||
| + | | Priority | ||
| + | | Reason | ||
| + | | AHP Scoring | ||
| + | |||
| + | |||
| + | |||
| + | |||
| + | |- | ||
| + | | Health Risk | ||
| + | | 1 | ||
| + | | CDQC's top priority is to keep the diseased away from the general population, this is prevent the virus from spreading and causing an epidemic. Thus, this factor is highest | ||
| + | priority | ||
| + | | 9 | ||
| + | |||
| + | |- | ||
| + | | Accessibility | ||
| + | | 2 | ||
| + | | Transportation is the key issue in swiftly getting the patient away from the masses. Thus, accessibility is also given a very high priority. | ||
| + | | 7 | ||
| + | |||
| + | |- | ||
| + | | Natural Conservation | ||
| + | | 3 | ||
| + | | Although important, Parks and water beds and forests is not as populated as the buildings. | ||
| + | | 3 | ||
| + | |||
| + | - | ||
| + | | Economic | ||
| + | | 4 | ||
| + | | Singapore has limited land space, and do not have a lot of non-steep land. Thus, I believe it is worth investing on a place which poses less health risk, has good transportation and further away from natural conservation. | ||
| + | | 1 | ||
| + | |} | ||
Revision as of 23:52, 10 November 2019
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Criterion Maps
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Data preparation
In order to do a ranked analysis, the layer data have to be normalised as the data now vary in scale. To that, Min-Max normalisation was used.
For example, To normalise road proximity, we take the (current_data - min_of given layer)/(max_of given layer - min_of given layer):" "Prox_road@1" - 0 / (703.28" - 0)
Another thing to note, is that the results for roads and steepness needs to be inversed. As the closer the roads or less steep the land the better!
Thus, I took (1 - normalised data) to get the correct comparison.
Next step
| Factor | Priority | Reason | AHP Scoring
| ||||
| Health Risk | 1 | CDQC's top priority is to keep the diseased away from the general population, this is prevent the virus from spreading and causing an epidemic. Thus, this factor is highest
priority |
9 | ||||
| Accessibility | 2 | Transportation is the key issue in swiftly getting the patient away from the masses. Thus, accessibility is also given a very high priority. | 7 | ||||
| Natural Conservation | 3 | Although important, Parks and water beds and forests is not as populated as the buildings. | 3
- |
Economic | 4 | Singapore has limited land space, and do not have a lot of non-steep land. Thus, I believe it is worth investing on a place which poses less health risk, has good transportation and further away from natural conservation. | 1 |
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