Difference between revisions of "Kim Chang Heon Ex2 Proximity Maps"

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| style="text-align:justify; width:20em; height: 1em; font-size:17px; font-family: Times New Roman !important; background-color:White; color: black;"| First, a new attribute named "POI_CODE" with the value of 1 was assigned to the layers of the features in Gombak. Then, the vector layer was rasterized into a raster layer using POI_CODE. This output was then used with a Proximity Analysis, which produced the output as shown. The darker areas show that it is nearer to buildings, while the lighter areas show that they are further away from buildings.
 
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| style="text-align:justify; width:20em; height: 1em; font-size:15px; font-family: Times New Roman !important; background-color:White; color: black;"| Roads.
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| style="text-align:justify; width:20em; height: 1em; font-size:15px; font-family: Times New Roman !important; background-color:White; color: black;"| First, a new attribute named "POI_CODE" with the value of 1 was assigned to the layers of the features in Gombak. Then, the vector layer was rasterized into a raster layer using POI_CODE. This output was then used with a Proximity Analysis, which produced the output as shown. The darker areas show that it is nearer to roads, while the lighter areas show that they are further away from roads.
 
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{| align=center width = 100%
 
{| align=center width = 100%
  
| style="text-align:justify; width:20em; height: 1em; font-size:17px; font-family: Times New Roman !important; background-color:white; color: black;"| .
+
| style="text-align:justify; width:20em; height: 1em; font-size:17px; font-family: Times New Roman !important; background-color:white; color: black;"| First, a new attribute named "POI_CODE" with the value of 1 was assigned to the layers of the features in Gombak. Then, the vector layer was rasterized into a raster layer using POI_CODE. This output was then used with a Proximity Analysis, which produced the output as shown. The darker areas show that it is nearer to natural features, while the lighter areas show that they are further away from natural features.
 
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{| align=center width = 100%
 
{| align=center width = 100%
  
| style="text-align:justify; width:20em; height: 1em; font-size:17px; font-family: Times New Roman !important; background-color:white; color: black;"| .
+
| style="text-align:justify; width:20em; height: 1em; font-size:17px; font-family: Times New Roman !important; background-color:white; color: black;"| For this map, it was slightly different from the other maps as the DEM model was already a Raster layer. Hence, the DEM layer was directly used with the Slope function to calculate the degree of inclination. The resulting output is as shown in the bottom right map. The ligther areas depict areas where the inlclination is higher, while the darker areas show no slope/inclination.
 
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Revision as of 17:06, 9 November 2019

OVERVIEW PROXIMITY MAPS CRITERION SCORES AHP RECOMMENDATION
Map Layout View of proximity of basic features


Proximity of Buildings

First, a new attribute named "POI_CODE" with the value of 1 was assigned to the layers of the features in Gombak. Then, the vector layer was rasterized into a raster layer using POI_CODE. This output was then used with a Proximity Analysis, which produced the output as shown. The darker areas show that it is nearer to buildings, while the lighter areas show that they are further away from buildings.



Proximity of Roads
First, a new attribute named "POI_CODE" with the value of 1 was assigned to the layers of the features in Gombak. Then, the vector layer was rasterized into a raster layer using POI_CODE. This output was then used with a Proximity Analysis, which produced the output as shown. The darker areas show that it is nearer to roads, while the lighter areas show that they are further away from roads.



Proximity of Natural Features
First, a new attribute named "POI_CODE" with the value of 1 was assigned to the layers of the features in Gombak. Then, the vector layer was rasterized into a raster layer using POI_CODE. This output was then used with a Proximity Analysis, which produced the output as shown. The darker areas show that it is nearer to natural features, while the lighter areas show that they are further away from natural features.


Map depicting inclination degrees
For this map, it was slightly different from the other maps as the DEM model was already a Raster layer. Hence, the DEM layer was directly used with the Slope function to calculate the degree of inclination. The resulting output is as shown in the bottom right map. The ligther areas depict areas where the inlclination is higher, while the darker areas show no slope/inclination.