<aclass="sourceLine"id="cb1-7"data-line-number="7"><spanclass="co">#> Geospatial Data Abstraction Library extensions to R successfully loaded</span></a>
<aclass="sourceLine"id="cb1-8"data-line-number="8"><spanclass="co">#> Loaded GDAL runtime: GDAL 2.2.2, released 2017/09/15</span></a>
<aclass="sourceLine"id="cb1-9"data-line-number="9"><spanclass="co">#> Path to GDAL shared files: /usr/share/gdal/2.2</span></a>
<aclass="sourceLine"id="cb1-10"data-line-number="10"><spanclass="co">#> GDAL binary built with GEOS: TRUE </span></a>
<aclass="sourceLine"id="cb1-16"data-line-number="16"><spanclass="kw"><ahref="https://www.rdocumentation.org/packages/base/topics/cat">cat</a></span>(<spanclass="st">"We suggest installing the pacakge mapview for interactive visualisation"</span>,</a>
<aclass="sourceLine"id="cb1-17"data-line-number="17"><spanclass="st">"of cartography from within R"</span>)</a></code></pre></div>
<spanclass="kw"><ahref="https://www.rdocumentation.org/packages/base/topics/cat">cat</a></span>(<spanclass="st">"We suggest installing the pacakge mapview for interactive visualisation"</span>,
<spanclass="st">"of cartography from within R"</span>)</code></pre></div>
<p>Download cartography from the Global Administrative Borders Database (GADM, <ahref="https://gadm.org/"class="uri">https://gadm.org/</a>) directly from within R.</p>
<divclass="sourceCode"id="cb5"><preclass="sourceCode r"><codeclass="sourceCode r"><aclass="sourceLine"id="cb5-1"data-line-number="1"><spanclass="co"># Not using this for the moment</span></a>
<ahref="#save-pre-processed-cartography-for-use-within-the-package"class="anchor"></a>Save pre-processed cartography for use within the package</h2>
<p>Prefer standard and modern Open Geospatial Consortium (<ahref="http://www.opengeospatial.org/">OGC</a>) formats: GeoPackage for vector maps and GeoTiff for raster images.</p>