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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</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/isprs-archives-XLII-2-W13-1525-2019</article-id>
<title-group>
<article-title>USING AND IMPROVING MAPATHON DATA THROUGH HACKATHONS</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Coetzee</surname>
<given-names>S.</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>Rautenbach</surname>
<given-names>V.</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>Green</surname>
<given-names>C.</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>Gama</surname>
<given-names>K.</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>Fourie</surname>
<given-names>N.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Goncalves</surname>
<given-names>B. A.</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>Sastry</surname>
<given-names>N.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Centre for Geoinformation Science, Department of Geography, Geoinformatics and Meteorology, University of Pretoria, South Africa</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Federal University of Pernambuco (UFPE), Recife, Brazil</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Council for Scientific and Industrial Research, Pretoria, South Africa</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>King’s College London, London, UK</addr-line>
</aff>
<pub-date pub-type="epub">
<day>05</day>
<month>06</month>
<year>2019</year>
</pub-date>
<volume>XLII-2/W13</volume>
<fpage>1525</fpage>
<lpage>1529</lpage>
<permissions>
<copyright-statement>Copyright: © 2019 S. Coetzee et al.</copyright-statement>
<copyright-year>2019</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://isprs-archives.copernicus.org/articles/isprs-archives-XLII-2-W13-1525-2019.html">This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-2-W13-1525-2019.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-2-W13-1525-2019.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-2-W13-1525-2019.pdf</self-uri>
<abstract>
<p>Geospatial data is essential for the development of the blue economy: for sustainable coastal management of coastal areas and to unlock economic potential from marine and ocean resources. In developing countries, such as South Africa, there are often gaps in the data with significant implications for the blue economy. We conducted a project aimed at addressing these data gaps by experimenting with a circular process where geospatial data for selected areas on the South African coastline were collected through mapathons and used in applications that were developed during hackathons. We validated this circular approach with two iterations of mapathons and hackathons, and found that 1) the size and location of the map area need to be carefully chosen; 2) those creating the apps needed a huge amount of help in dealing with the geospatial data; and 3) any geospatial data is useful for the blue economy, not only data with a very specific purpose in the blue economy context, such as coastal access points. Overall, the geospatial data usability improved from one iteration to another and would certainly improve if more iterations were added. Similar to the deployment of mapathons for disaster relief, future research could focus on hosting hackathons for the rapid development of apps to assist with disaster relief operations. Generally, the hosting of mapathons and hackathons in lockstep is a novel way of exposing students to interdisciplinary collaboration in international teams with a common goal.</p>
</abstract>
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