4 mount explosion. The kind of materials in the north generally andosol in the south and
east consist of greey alluvial with clay sediment while in central and west scattered andosol.
Figure 1.1 Research of Study Area. The climate of Bandung mostly influenced by the mountains, so that the
weather is humid and cool. Nowadays, a change to weather occurs. The temperature average extremely rose, which in October 2009 the temperature reach
out 31, 6 C. That phenomena mainly caused by air pollution from motor cycle
and global heat. Even that so, the average of rainfall frequency is still high.
1.5. General of Research Methodology
General of research methodology for Modelling Spatial Distribution Pattern of Urban Growth using Cellular Automata in Bandung area, can be seen in Figure
1.2. Preparation of the data into model input consists of spatial and non-spatial
5 data. Spatial data can be divided into raster and vector data. Topographical maps
Rupa Bumi Indonesia which covering Bandung area was used as vector data, including layers of Administrative boundary, landuse and Road Network.
Meanwhile, satellite imagery including SRTM-DEM, SPOT 5 and Landsat TM imagery were used as a raster data in this research. Statistical data, including time
series of population and village potential statistics of Bandung area in 1991, 1997, 2000 and 2007 was used as non-spatial data to predict population projection.
Data processing using various statistics methods and spatial analysis technique in GIS have been applied to derive the data input into the development
model. On the other hand, landcover type classification was get from references map and derive from satellite imagery in 1991, 1997, 2000 and 2007. Markov
chain change detection was applied to analyze trend of change detection during the periode 1991
– 2007 in Bandung area. The result from this analysis is trend of landcover priority conversion into built-up area. Furthermore, land demand for
built-up area was derived from relation between population projection and built- up area in the same years.
Driving forces and constraints, which are influence for urban development was derived based on regulation from study literature. Standardization value for
each driving forces and constrain into 0 – 1, and then Multicriteria evaluation as a
transition rule was applied to get weighted from each driving forces and there contributes for urban development. Landcover priority that’s means priority for
each type of landcover conversion into built up area was combine with potential value which derive from driving forces and constraints.
Furthermore, land demand for built-up area was related into ranking of potential value. In this step, the model will be indicated that the number of the
cells who have higher potential values will be translated into built-up area development base on amount of land demand requirement for built-up area in year
- t+n. Model calibration and validation using some scenario was applied to calculate simulation accuracies of the urban growth spatial distribution model. The
best scenario from the result will be applied in model simulation and can be used to predict spatial distribution of urban growth simulation in Bandung Area.
6
Driving Factors Neighbourhood Effect
Road Network Urban Hierarchy Index
Slope 0 – 15
Constraints Factors Slope 15
Forest Protected, Green Space Area, Water Body
Standardization Factors Landcover
Classification in 1991, 1997, 2000 and 2007
from Satellite Imagery
Markov Chain Change Detection
Population Data in 1991,
1997, 2000 and 2007
Built-up Area in 1991, 1997, 2001
and 2007
Projection Population in year t+n
Land Demand of Built-up Area in Year t+n
Relation between Population and Built-up
Area Weighted using Ranking Methods
Multicriteria Evaluation to get Potential Cell
Transition Potential Value Ranking of Potential Value
Allocate Potential Value into Built-up Area in Year t+n
Conversion priorities of each landcover type into
Built-up area
Calibration Validation Model with
Actual Built Up Area in year t+n
Future Spatial Distribution of Urban Growth Simulation in Bandung Area Yes
No Reference of
Landuse landcover map in 2000 and
2007
Figure 1.2 General Methodology of Research
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1.6. Thesis Output
