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

From Geospatial Analytics for Urban Planning
Jump to navigation Jump to search
(Created page with "<!-- NAVIGATION TAB --> {| align=center width=74.25% ! style="text-align: center; width:20em; height: 2em; border-top:5px ridge blue; border-bottom: 5px ridge blue; font-weig...")
 
 
(4 intermediate revisions by the same user not shown)
Line 13: Line 13:
 
|}
 
|}
  
[[File:Basic Features Maps.png|thumb|900px|center|'''Map Layout View of basic features''']]
+
[[File:Proximity Maps.png|thumb|900px|center|'''Map Layout View of proximity of basic features''']]
  
  
Line 21: Line 21:
  
 
! style="text-align: center; width:20em; height: 1em; border:5px ridge Blue; font-weight:bold; font-size:25px; font-family:Times New Roman !important;; background-color:White; color: Black;"|  
 
! style="text-align: center; width:20em; height: 1em; border:5px ridge Blue; font-weight:bold; font-size:25px; font-family:Times New Roman !important;; background-color:White; color: Black;"|  
Health Risk Factor
+
Proximity of Buildings
 
|}
 
|}
  
Line 27: Line 27:
 
{| 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 buildings, while the lighter areas show that they are further away from buildings.
 
|}
 
|}
  
Line 35: Line 35:
 
<!-- Roads Heading -->
 
<!-- Roads Heading -->
 
{| align=center width = 100%
 
{| align=center width = 100%
! style="text-align: center; width:20em; height: 1em; border:5px ridge blue; font-weight:bold; font-size:25px; font-family:Times New Roman !important;; background-color:White ; color: Black;"| Accessibility Factor
+
! style="text-align: center; width:20em; height: 1em; border:5px ridge blue; font-weight:bold; font-size:25px; font-family:Times New Roman !important;; background-color:White ; color: Black;"| Proximity of Roads
 
|}
 
|}
  
Line 41: Line 41:
 
{| align=center width = 100%
 
{| align=center width = 100%
  
| style="text-align:justify; width:20em; height: 1em; font-size:15px; font-family: Times New Roman !important; background-color:White; color: black;"| Roads.
+
| 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 roads, while the lighter areas show that they are further away from roads.
 
|}
 
|}
  
Line 51: Line 51:
 
{| align=center width = 100%
 
{| align=center width = 100%
  
! style="text-align: center; width:20em; height: 1em; border:5px ridge blue; font-weight:bold; font-size:25px; font-family:Times New Roman !important;; background-color:White; color: Black;"| Nature Conservation Factor
+
! style="text-align: center; width:20em; height: 1em; border:5px ridge blue; font-weight:bold; font-size:25px; font-family:Times New Roman !important;; background-color:White; color: Black;"| Proximity of Natural Features
 
|}
 
|}
  
Line 57: Line 57:
 
{| 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.
 
|}
 
|}
  
Line 64: Line 64:
 
{| align=center width = 100%
 
{| align=center width = 100%
  
! style="text-align: center; width:20em; height: 1em; border:5px ridge blue; font-weight:bold; font-size:25px; font-family:Times New Roman !important;; background-color:white; color: black;"| Economic Factor
+
! style="text-align: center; width:20em; height: 1em; border:5px ridge blue; font-weight:bold; font-size:25px; font-family:Times New Roman !important;; background-color:white; color: black;"| Map depicting inclination degrees
 
|}
 
|}
  
Line 70: Line 70:
 
{| 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.
 
|}
 
|}

Latest revision as of 17:14, 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.