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etnawlrcpopdmodxwebm.tif
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We modelled the population distribution of Ethiopia using census data (aggregated at Kebele and Wereda level (for Somali region)) and ancillary data for the definition of the sub-classes (i.e. land cover data and information on topography (slope). A proportional multi-class weighting dasymetric approach was applied for each sub-class to come up with a total population per Kebele. For Kebeles without census information and for data gaps the total population was estimated. We did this by a visual comparison of the land cover patterns between the units without census data and the surrounding units with population information. We assumed that neighbouring units with a similar configuration of land cover classes will show similar population densities. The population of the units without data was thus estimated by averaging the population den
<DIV STYLE="text-align:Left;"><P><SPAN STYLE="font-weight:bold;">etna</SPAN><SPAN STYLE="font-weight:bold;">wlrcp</SPAN><SPAN STYLE="font-weight:bold;">opd</SPAN><SPAN STYLE="font-weight:bold;">modx</SPAN><SPAN STYLE="font-weight:bold;">webm</SPAN><SPAN STYLE="font-weight:bold;">.tif</SPAN></P><P><SPAN STYLE="font-weight:bold;">etna: </SPAN><SPAN>National Dataset Ethiopia</SPAN></P><P><SPAN STYLE="font-weight:bold;">wlrc</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN>Water and Land Resources Centre</SPAN><SPAN /></P><P><SPAN STYLE="font-weight:bold;">popd</SPAN><SPAN>: Population density</SPAN></P><P><SPAN STYLE="font-weight:bold;">modx</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN>Own model approach</SPAN></P><P><SPAN STYLE="font-weight:bold;">webm: </SPAN><SPAN>WebMercator projection</SPAN></P></DIV>
All layers from www.wlrc-eth.org, Models: Kaspar Hurni, Elias Hodel, CDE, University of Bern www.cde.unibe.ch
Ethiopia
human settlement
urban
rural
population
density
built-up area
land cover
weighting
Raster Dataset
dataset
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8.8(9.3.1.2)
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