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<strong>RIVM</strong> <strong>report</strong> 773301 001 / NRP <strong>report</strong> 410200 051 page 111 of 142<br />

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At present, several gridded population map are publicly available, such as the 1 o x1 o maps from<br />

Harvard/Logan (Logan, 1993, pers. comm.), NASA-GISS (www.giss.nasa.gov/data/landuse/people<br />

.html), two maps at 10'x10' NGCIA (2000), and the GEIA map on 1 o x1 o by Li (1996). In EDGAR 3 we<br />

use the Li map (see Fig. A.1) since it is the only map available at 1 o x1 o which has the following<br />

qualifications:<br />

ú a uniform spatial quality for all countries - in contrast with the NGCIA maps, which are based on<br />

sub-national census data that have in many cases a very high spatial resolution, but also include<br />

several countries - e.g. the Russian Federation - of which the smallest units are much larger then a<br />

1 o x1 o grid cell;<br />

ú a detailed rural population distribution due to the inclusion of small towns to the size of 10,000<br />

inhabitants and compiled for a recent year - in contrast with the NASA-GISS and Harvard/Logan<br />

ú<br />

maps, which were compiled for an older year and using less details for the rural area;<br />

it locates population in the proper grid cell - whereas allows taking account of border cells, which<br />

include areas of more than one country/sea area.<br />

For these reasons the map compiled by Li was selected by GEIA as the default GEIA population map for<br />

new inventories. Therefore, we also decided to use this map, although the EDGAR software presently<br />

does use the multi-country/sea feature provided in the dataset. We combined the Li map with the NASA-<br />

GISS one grid cell-to-one-country relation table for distributing national total emissions of a particular<br />

source to the grid cells allocated to the countries. Moreover, due to the more detailed spatial resolution in<br />

the rural areas, the Li map is better suited for splitting into urban and rural sub-maps.<br />

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