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about.html
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<!DOCTYPE html>
<html>
<!-- HEAD -->
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width initial-scale=1" />
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>About</title>
<meta name="description" content="The Geocenter's analysis of factors influencing poverty in Rwanda">
<!-- base and accent fonts -->
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Lato:300,400|Oswald:300|Oxygen:300,400|Lora">
<!-- CSS style sheets -->
<!-- Bootstrap -->
<link rel="stylesheet" type="text/css" href="css/bootstrap.min.css"/>
<!-- Font Awesome -->
<link rel="stylesheet" href="/css/font-awesome.min.css">
<!-- Custom CSS -->
<link rel="stylesheet" type="text/css" href="css/main.min.css"/>
</head>
<!-- HEADER -->
<header class="navbar-fixed-top">
<div class="container">
<nav id="navbar-header" class="navbar-default">
</nav>
</div>
</header> <!-- end of HEADER -->
<!-- BODY -->
<body>
<div class="container">
<div class="big-text">
<div class="paragraph">The USAID <a href="https://sites.google.com/a/usaid.gov/usaidgeocenter/home" target="_blank">GeoCenter</a>, located in the <a href="https://www.usaid.gov/digital-development" target="_blank">US Global Development Lab</a>,
conducted the Rwanda Livelihoods Analysis and Mapping over course of six months in 2016 – 2017. </div>
<div class="paragraph">
The study incorporated numerous data sets including:
<ul>
<li>The 2010 and 2014/15 <a href="http://dhsprogram.com/What-We-Do/survey-search.cfm?pgtype=main&SrvyTp=country" target="_blank">Demographic and Health Survey</a></li>
<li>The 2012 and 2015 <a href="https://www.wfp.org/food-security/assessments/comprehensive-food-security-vulnerability-analysis" target="_blank">Comprehensive Food Security and Vulnerability Analysis</a> from the World Food Program</li>
<li>The <a href="https://www.fews.net/shapefiles" target="_blank">Famine Early Warning System Network</a> (FEWS NET) livelihood zones shapefile</li>
<li>The <a href="http://www.worldpop.org.uk/" target="_blank">WorldPop</a> raster data on human population distributions</li>
<li>The 2002 and 2012 <a href="http://www.statistics.gov.rw/survey-period/fourth-population-and-housing-census-2012" target="_blank">Rwanda Population and Housing Census</a></li>
<li>Spatial data from the <a href="http://geodata-nisr.opendata.arcgis.com/datasets?q=Rwanda" target="_blank">National Institute of Statistics of Rwanda</a>,
<a href="http://www.naturalearthdata.com/" target="_blank">Natural Earth</a>, and <a href="http://www.esri.com/" target="_blank">Esri</a></li>
</div>
<div class="paragraph">
The team used R-Studio, Stata, ArcGIS, QGIS, Excel, D3.js, and Adobe Illustrator to process,
analyze and visualize the data. The <a href="https://github.com/tessam30/Rwanda" target="_blank">code</a>
for all analysis is available under the MIT License. If you find it useful, please <a href="mailto:[email protected]" target="_blank">let us know</a>.</div>
</div>
<div class="paragraph">
Disclaimer: The findings, interpretation, and conclusions of the study are those of the authors and do not necessarily reflect the views of United States Agency for International Development or the United States Government. Boundaries are not necessarily authoritative, and all errors remain our own.
</div>
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<script src="js/lib/jquery.js" type="text/javascript"></script>
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</body>
</html>