Livelihood Security: Climate change, conflict and migration in - UNEP
Livelihood Security: Climate change, conflict and migration in - UNEP
Livelihood Security: Climate change, conflict and migration in - UNEP
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88<br />
Strengths of the dataset:<br />
•<br />
•<br />
•<br />
•<br />
high spatial resolution (2.5 arc m<strong>in</strong>utes)<br />
time-series enables retrospective <strong>change</strong> analysis (available time-series: 1960-2000)<br />
high correlation (Pearson) with the Gridded Population of the Word (GPWv3) dataset→ GPWv3 dataset<br />
can be utilized to extend the time-series to 2010<br />
freely available via <strong>UNEP</strong>-APD data portal<br />
Weaknesses of the dataset:<br />
•<br />
•<br />
•<br />
data is only available for the African cont<strong>in</strong>ent (no weakness with<strong>in</strong> the context of this project, however<br />
could be a weakness for other projects)<br />
accuracy of the data as it is partly census-based <strong>and</strong> there is a lack of available census <strong>in</strong>formation<br />
<strong>in</strong> the region of <strong>in</strong>terest<br />
dataset ends <strong>in</strong> the year 2000 (no up-to-date data available)<br />
GRIDDED POPULATION OF THE WORLD (GPWv3) – POPULATION DATA<br />
Gridded Population of the World (GPWv3) is the third edition of a large-scale data product that demonstrates<br />
the spatial distribution of human populations across the globe. The output is unique <strong>in</strong> that<br />
the distribution of human population is converted from national or sub-national spatial units (usually<br />
adm<strong>in</strong>istrative units) of vary<strong>in</strong>g resolutions, to a series of geo-referenced quadrilateral grids at a resolution<br />
of 2.5 arc m<strong>in</strong>utes.<br />
Strengths of the dataset:<br />
•<br />
•<br />
•<br />
•<br />
•<br />
•<br />
dataset is cont<strong>in</strong>uous <strong>in</strong> space (global coverage)<br />
high spatial resolution (2.5 arc m<strong>in</strong>utes)<br />
time-series enables retrospective <strong>change</strong> analysis (available time-series: 1990-2015)<br />
dataset comprises a population count/density forecast until 2015<br />
high correlation (Pearson) with the <strong>UNEP</strong>-APD population dataset→ GPWv3 dataset can be utilized<br />
to extend the available population time-series from 1960 to 2010<br />
freely available at the GPW/GRUMP data portal<br />
Weaknesses of the dataset:<br />
•<br />
•<br />
the 1990 population <strong>and</strong> population density estimates are miss<strong>in</strong>g from all countries <strong>in</strong> Africa<br />
accuracy of the data (data is partly census-based → lack<strong>in</strong>g census data <strong>in</strong> the region of <strong>in</strong>terest)<br />
PRIO-CSCW – CONFLICT SITE DATA<br />
The Uppsala Conflict Data Project (UCDP) def<strong>in</strong>es armed <strong>conflict</strong> as ‘a contested <strong>in</strong>compatibility that<br />
concerns either government or territory or both, where the use of armed force between two parties results<br />
<strong>in</strong> at least 25 battle-related deaths.’ The PRIO-CSCW ‘<strong>conflict</strong> site’ dataset is an extension to the UCDP/<br />
PRIO ‘Armed Conflicts Dataset’ that provides coord<strong>in</strong>ates for the <strong>conflict</strong> zones <strong>and</strong> lists of countries <strong>in</strong><br />
which the <strong>conflict</strong>s were located from 1946 to 2005. Follow<strong>in</strong>g the procedure of earlier versions of the<br />
UCDP/PRIO data, the <strong>conflict</strong> zones are coded with centre-po<strong>in</strong>t coord<strong>in</strong>ates, plus a radius variable to<br />
denote the estimated spatial extent of the <strong>conflict</strong>s.<br />
Strengths of the dataset:<br />
•<br />
•<br />
•<br />
•<br />
global dataset<br />
time-series enables retrospective <strong>change</strong> analysis (available time-series: 1946-2005)<br />
data reflects the estimated area affected by <strong>conflict</strong> (radius variable)<br />
freely available at PRIO-CSCW website<br />
<strong>Livelihood</strong> <strong>Security</strong>: <strong>Climate</strong> Change, Migration <strong>and</strong> Conflict <strong>in</strong> the Sahel