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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ICA-Proc</journal-id>
<journal-title-group>
<journal-title>Proceedings of the ICA</journal-title>
<abbrev-journal-title abbrev-type="publisher">ICA-Proc</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Proc. Int. Cartogr. Assoc.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2570-2092</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/ica-proc-1-83-2018</article-id>
<title-group>
<article-title>Automatic map generalisation from research to production</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nyberg</surname>
<given-names>Rose</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Johansson</surname>
<given-names>Mikael</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Lantmäteriet, the Swedish mapping, cadastral and land registration authority, Sweden</addr-line>
</aff>
<pub-date pub-type="epub">
<day>16</day>
<month>05</month>
<year>2018</year>
</pub-date>
<volume>1</volume>
<elocation-id>83</elocation-id>
<permissions>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://ica-proc.copernicus.org/articles/ica-proc-1-83-2018.html">This article is available from https://ica-proc.copernicus.org/articles/ica-proc-1-83-2018.html</self-uri>
<self-uri xlink:href="https://ica-proc.copernicus.org/articles/ica-proc-1-83-2018.pdf">The full text article is available as a PDF file from https://ica-proc.copernicus.org/articles/ica-proc-1-83-2018.pdf</self-uri>
<abstract>
<p>The manual work of map generalisation is known to be a complex and time consuming task. With the development of technology and societies, the demands for more flexible map products with higher quality are growing. The Swedish mapping, cadastral and land registration authority Lantmäteriet has manual production lines for databases in five different scales, 1&amp;thinsp;:&amp;thinsp;10&amp;thinsp;000 (SE10), 1&amp;thinsp;:&amp;thinsp;50&amp;thinsp;000 (SE50), 1&amp;thinsp;:&amp;thinsp;100&amp;thinsp;000 (SE100), 1&amp;thinsp;:&amp;thinsp;250&amp;thinsp;000 (SE250) and 1&amp;thinsp;:&amp;thinsp;1&amp;thinsp;million (SE1M). To streamline this work, Lantmäteriet started a project to automatically generalise geographic information. Planned timespan for the project is 2015&amp;ndash;2022. Below the project background together with the methods for the automatic generalisation are described. The paper is completed with a description of results and conclusions.</p>
</abstract>
<counts><page-count count="5"/></counts>
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