20211027
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FALSE
INARISKPOP_2020_TOPDOWN_KECAMATAN
007
10572228.845373
15698328.845373
-1224845.162247
673254.837753
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Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_World_Mercator
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20211027
21584800
20211027
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150000000
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FGDC
Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.0.4322
INARISKPOP_2020_TOPDOWN_KECAMATAN
raster digital data
2020-11-30T00:00:00
2021-03-25T00:00:00
2021-09-15T00:00:00
Dr. Ir. Udrekh, S.E., M.Sc
National Disaster Management Authority
Director of Director of Disaster Risk Mapping and Evaluation
1
94.971948
141.020487
6.077132
-11.007865
Disaster risk analysis requires accurate population distribution data to proximate the element at risk which is part of the vulnerability components. The...
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:16pt">Population distribution as one of the parameters of disaster vulnerability is needed in a disaster risk assessment. Analysis of approaches to determine the spatial population distribution can use many methodological alternatives. The general approach used in Indonesia is distribution approach based on results of a survey or census, where the number of population density is distributed evenly within the administrative borders. Another approach used by Worldpop using Random Regression Tree model-based Forest Mapping. Both of these methodologies have their respective advantages and disadvantages. This study was conducted by combining these two methods and adding some data and parameters as driving factors on the scale of analysis of spatial resolution (grid size) 0.000833333 decimal degrees (approximately 100 m in equatorial region) for case study in Banten Province. Data processing is performed by raster analysis approach and using GIS. The results obtained for the better with the cost requirements are also more affordable and can be utilized to calculate the level of disaster risk in an area.</SPAN></P></DIV></DIV></DIV>
Population Distribution
Geographic Information System
Spatial Analysis
Disaster vulnerability
Population density
File Geodatabase Raster Dataset
dataset
EPSG
8.2.6
Pixel
18981
51261
100.000000
100.000000
32
1
Upper Left
FALSE
NONE
1
pixel codes
FGDBR
TRUE
row and column
100.000000
100.000000
20211027
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