Kim Chang Heon Ex2 Proximity Maps

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.