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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-4-33-2021</article-id>
<title-group>
<article-title>Testing approaches to visualize land cover/land use changes in time series with Web GIS microservice tools</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Friend</surname>
<given-names>Jesse</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jahnke</surname>
<given-names>Mathias</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>Walen</surname>
<given-names>Niels</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ramminger</surname>
<given-names>Gernot</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Techincal University of Munich, Arcisstraße 21, 80333 Munich, Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>GAF AG, Arnulfstraße 199, 80634 Munich, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>03</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>4</volume>
<elocation-id>33</elocation-id>
<permissions>
<copyright-statement>Copyright: © 2021 Jesse Friend et al.</copyright-statement>
<copyright-year>2021</copyright-year>
<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-4-33-2021.html">This article is available from https://ica-proc.copernicus.org/articles/ica-proc-4-33-2021.html</self-uri>
<self-uri xlink:href="https://ica-proc.copernicus.org/articles/ica-proc-4-33-2021.pdf">The full text article is available as a PDF file from https://ica-proc.copernicus.org/articles/ica-proc-4-33-2021.pdf</self-uri>
<abstract>
<p>Web applications which are high functioning, efficient, and meet the performance demand of the client are essential in modern cartographic workflows. With more and more complex spatial data being integrated into web applications, such as time related features, it is essential to harmonize the means of data presentation so that the end product is aligned with the needs of the end-user. In this paper we present aWeb GIS application built as a microservice which displays various timeseries visualizations to the user to streamline intuitiveness and functionality. The prototype provides a solution which could help to understand various ways in which current web and spatial analysis methods can be combined to create visualizations that add value to existing spatial data for cartographic workflows.</p>
</abstract>
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