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#GIScience

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Tatu Leppämäki<p>🚨 NEW ARTICLE 🚨 </p><p>How many photos are uploaded to Flickr? Where? By who? Why does any of it matter? We explore the rise and fall of <a href="https://mstdn.social/tags/Flickr" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Flickr</span></a> in this <span class="h-card" translate="no"><a href="https://mastodon.online/@digigeolab" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>digigeolab</span></a></span> paper by yours truly, Vuokko Heikinheimo, <span class="h-card" translate="no"><a href="https://ecoevo.social/@eklund_jo" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>eklund_jo</span></a></span>, Anna Hausmann &amp; <span class="h-card" translate="no"><a href="https://mastodon.green/@tuuli" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>tuuli</span></a></span> – now out in the Journal of Outdoor Recreation and Tourism.</p><p>Article: <a href="https://authors.elsevier.com/sd/article/S2213-0780(25)00026-X" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">authors.elsevier.com/sd/articl</span><span class="invisible">e/S2213-0780(25)00026-X</span></a> </p><p>Thread 👇 </p><p><a href="https://mstdn.social/tags/giscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>giscience</span></a> <a href="https://mstdn.social/tags/geography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geography</span></a> <a href="https://mstdn.social/tags/gis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gis</span></a> <a href="https://mstdn.social/tags/opendata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opendata</span></a></p>
Tuomas Väisänen 📼🧟‍♂️<p>🚨🌍 NEW ARTICLE 🌍🚨 </p><p>We geocoded the <a href="https://vis.social/tags/mobility" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mobility</span></a> of over 2 million <a href="https://vis.social/tags/Erasmus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Erasmus</span></a> students across <a href="https://vis.social/tags/Europe" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Europe</span></a> from 2014 to 2022 with <span class="h-card" translate="no"><a href="https://mastodon.social/@miladmzdh" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>miladmzdh</span></a></span> Oula Inkeröinen &amp; Olle Järv. The data descriptor article is published in <a href="https://vis.social/tags/ScientificData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ScientificData</span></a>, and is an output from the <a href="https://vis.social/tags/MobiTwin" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MobiTwin</span></a> project.</p><p><a href="https://doi.org/10.1038/s41597-025-04789-0" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1038/s41597-025-047</span><span class="invisible">89-0</span></a> </p><p><span class="h-card" translate="no"><a href="https://mastodon.online/@digigeolab" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>digigeolab</span></a></span> </p><p><a href="https://vis.social/tags/GIScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIScience</span></a> <a href="https://vis.social/tags/Geospatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Geospatial</span></a> <a href="https://vis.social/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://vis.social/tags/MobiTwin" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MobiTwin</span></a> <a href="https://vis.social/tags/OpenData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenData</span></a> <a href="https://vis.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenScience</span></a></p>
Tuomas Väisänen 📼🧟‍♂️<p>A quick illustrative <a href="https://vis.social/tags/map" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>map</span></a> on the implications of using different types of centroids in regional <a href="https://vis.social/tags/demography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>demography</span></a> <a href="https://vis.social/tags/mobility" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mobility</span></a> and <a href="https://vis.social/tags/migration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>migration</span></a> studies.</p><p>Think about what you are emphasizing.</p><p>By using population-weighted centroids, you can emphasize the population perspective in the analysis instead of the geometry, potentially improving your analysis considerably. The distance difference is stronger in sparsely populated and remote regions.</p><p><a href="https://vis.social/tags/GIScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIScience</span></a> <a href="https://vis.social/tags/Geospatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Geospatial</span></a> <a href="https://vis.social/tags/cartography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cartography</span></a></p>
Tuomas Väisänen 📼🧟‍♂️<p>I have struggled with many IDEs with their lack of good integration of interactive <a href="https://vis.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a>.</p><p>VSCode and its derivatives are nice, but they do not play ball with my workflow. I can get what I want to work only partially, and it is much slower than my current workflow. Running one line at a time in an interactive window is excruciating.</p><p>Isn't it common in <a href="https://vis.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> and <a href="https://vis.social/tags/GIScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIScience</span></a> to have an interactive workflow with a lot of back and forth reiterations with multiple line executions?</p>