<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Mark J. Mihalasky</dc:creator>
  <dc:date>2016</dc:date>
  <dc:description>&lt;p&gt;Mineral Resource Estimation is about estimating mineral resources at the scale of an ore deposit and is not to be mistaken with mineral resource assessment, which is undertaken at a significantly broader scale, even if similar data and geospatial/geostatistical methods are used. The book describes geological, statistical, and geostatistical tools and methodologies used in resource estimation and modeling, and presents case studies for illustration. The target audience is the expert, which includes professional mining geologists and engineers, as well as graduate-level and advanced undergraduate students.&lt;/p&gt;
&lt;p&gt;Review info:&amp;nbsp;&lt;span class="product-source"&gt;Mineral Resource Estimation&lt;/span&gt;&lt;span&gt;. By&amp;nbsp;Mario E. Rossi, Clayton V. Deutsch&lt;/span&gt;&lt;span&gt;.&amp;nbsp;&lt;/span&gt;&lt;span class="product-year"&gt;2014&lt;/span&gt;&lt;span&gt;.&lt;/span&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;span&gt;ISBN&amp;nbsp;&lt;/span&gt;&lt;span class="product-isbn"&gt;978-1-4020-5716-8 332 pp.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.2113/econgeo.111.1.272</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Society of Economic Geologists</dc:publisher>
  <dc:title>Book review: Mineral resource estimation</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>