anchor.diff:        <div class='source_body'>
           <div class='source_summary'>
             <h3 class='overview_title'>Overview</h3>
  -          <p>“The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) consists of estimates of human population for the years 1990, 1995, and 2000 in a 1km global grid. The population density grids measure population per square km.</p>
  -
  -          <p>A proportional allocation gridding algorithm, utilizing more than 1,000,000 national and sub-national geographic units, is used to assign population values to grid cells. The population count grids are divided by the land area grid to produce population densities. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT).</p>
  +          <p>“The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) consists of estimates of human population for the years 1990, 1995, and 2000 in a 1 kilometer global grid. The population density grids measure population per square kilometer.</p>
  +
  +          <p>A proportional allocation gridding algorithm, utilizing more than 1,000,000 national and sub-national geographic units, is used to assign population values to grid cells. The population count grids are divided by the land area grid to produce population densities. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), the World Bank, and Centro Internacional de Agricultura Tropical (CIAT).</p>
   
             <p class='credits'><strong>Citation:</strong> Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) D.L. Balk, U. Deichmann, G. Yetman, F. Pozzi, S.I. Hay and A. Nelson. Determining Global Population Distribution: Methods, Applications and Data., Advances in Parasitology 62: 119-156, 2006. <a href='http://www.globalforestwatch.org' target='_blank'>www.globalforestwatch.org</a>.</p>
   
  
positive.code:           <dl class='sources_row'>
              <dt>Cautions</dt>
              <dd>
                <p>Not all fires are detected. There are several reasons why MODIS may not have detected a certain fire. The fire may have started and ended between satellite overpasses. The fire may have been too small or too cool to be detected in the (approximately) 1 km<sup>2</sup> pixel. Cloud cover, heavy smoke, or tree canopy may completely obscure a fire.</p>
                <p>It is not recommended to use active fire locations to estimate burned area due to spatial and temporal sampling issues.</p>
                <p>When zoomed out, this data layer displays some degree of inaccuracy because the data points must be collapsed to be visible on a larger scale. Zoom in for greater detail.</p>
              </dd>
  
negative.code:             <dd>Landsat Global Land Survey Collection</dd>
            </dl>
            <dl class='sources_row'>
              <dt>Frequency of updates</dt>
              <dd>None planned</dd>
            </dl>
            <dl class='sources_row'>
  