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block_C_ii.html
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block_C_ii.html
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<!doctype html>
<html>
<head>
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<div class="reveal">
<div class="slides">
<section id="section" class="level1">
<h1></h1>
<section id="geographic-data-science" class="level2">
<h2>Geographic Data Science</h2>
<CENTER>
New Forms of (Spatial) Data
</CENTER>
<CENTER>
<a href="http://darribas.org">Dani Arribas-Bel</a>
</CENTER>
</section>
</section>
<section id="section-1" class="level1">
<h1></h1>
<section id="new-forms-of-spatial-data" class="level2">
<h2>New Forms of (Spatial) Data</h2>
</section>
<section id="new-forms-of-spatial-data-1" class="level2">
<h2>New Forms of (Spatial) Data</h2>
<p>Tied into the (geo-)data revolution, new sources are appearing that are:</p>
<ul>
<li><span class="hlg"><strong>Accidental</strong></span> –> created for different purposes but available for analysis as a side effect</li>
<li>Very <span class="hlg">diverse</span> in nature, resolution, and quality but, potentially, much more <strong>detailed</strong> in both space and time</li>
</ul>
<p>Different ways to categorise them…</p>
</section>
<section id="lazer-radford-2017" class="level2">
<h2>Lazer & Radford (2017)</h2>
<ul>
<li><span class="hlg">Digital life</span>: digital actions (Twitter, Facebook, WikiPedia…)</li>
<li><span class="hlg">Digital traces</span>: record of digital actions (CDRs, metadata…)</li>
<li><span class="hlg">Digitalised life</span>: nonintrinsically digital life in digital form (Government records, web…)</li>
</ul>
</section>
<section id="arribas-bel-2014" class="level2">
<h2>Arribas-Bel (2014)</h2>
<p>Three levels, based on how they originate:</p>
<ul>
<li><span class="hlg">Bottom up</span>: “Citizens as sensors”</li>
<li><span class="hlg">Intermediate</span>: Digital businesses/businesses going digital</li>
<li><span class="hlg">Top down</span>: Open Government Data</li>
</ul>
</section>
<section id="opportunities-lazer-radford-2017" class="level2">
<h2>Opportunities (Lazer & Radford, 2017)</h2>
<ul>
<li>Massive, passive</li>
<li>Nowcasting</li>
<li>Data on social systems</li>
<li>Natural and field experiments (“always-on” observatory of human behaviour)</li>
<li>Making big data small</li>
</ul>
</section>
<section id="challenges-arribas-bel-2014" class="level2">
<h2>Challenges (Arribas-Bel, 2014)</h2>
<ul>
<li>Bias</li>
<li>Technical barriers</li>
<li>Methodological “mismatch”</li>
</ul>
</section>
</section>
<section id="section-2" class="level1">
<h1></h1>
<p><a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" /></a><br /><span xmlns:dct="http://purl.org/dc/terms/" property="dct:title">A Course on Geographic Data Science</span> by <a xmlns:cc="http://creativecommons.org/ns#" href="http://darribas.org" property="cc:attributionName" rel="cc:attributionURL">Dani Arribas-Bel</a> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</a>.</p>
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