MATEC Web Conf.
Volume 229, 2018International Conference on Disaster Management (ICDM 2018)
|Number of page(s)||5|
|Section||Improving Lesson Learnt in Disaster Management|
|Published online||14 November 2018|
Geographic information system-based spatial analysis of population distribution in Banten province - Indonesia
1 Geography Science (Magister), University of Indonesia, Kampus Baru UI, Depok, 16424, Indonesia
2 Geography Science (Magister), University of Auckland, Auckland, 1010, New Zealand
3 Member National Assistance, BNPB, Graha BNPB Building, Jl. Pramuka Kav. 38, Jakarta Timur, 10150, Indonesia
* Corresponding author: firstname.lastname@example.org
Population distribution is one of the of disaster vulnerability parameters needed in a disaster risk assessment. The analysis approaches to determine the spatial population distribution can use many methodological alternatives. The general approach used in Indonesia is based on the results of a survey or census, where the number of population density is distributed evenly within the administrative borders. Another approach using Random Regression Tree model-based Forest Mapping is used by Worldpop. Both methodologies have their respective advantages and disadvantages. This study was conducted by combining these two methods where some data and parameters are added as driving factors on the scale spatial resolution analysis (grid size) 0.000833333 decimal degrees (approximately 100 m in the equatorial region) for a case study in Banten Province. Data processing is performed by raster analysis approach and GIS. The results are more affordable, meet cost requirements, and can be utilized to calculate the level of disaster risk in the area.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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