<title>Introduction to Geospatial Data Visualisation</title>
<metaname="description"content="A brief OER lab/course intended to give Undergraduates a basic orientation to geospatial data using the carto platform">
<metaname="generator"content="bookdown and GitBook 2.6.7">
<metaproperty="og:description"content="A brief OER lab/course intended to give Undergraduates a basic orientation to geospatial data using the carto platform"/>
<metaname="twitter:description"content="A brief OER lab/course intended to give Undergraduates a basic orientation to geospatial data using the carto platform"/>
<liclass="chapter"data-level="0.1"data-path="session-1.html"><ahref="session-1.html#challenge-1-find-yourself-on-the-map"><iclass="fa fa-check"></i><b>0.1</b> Challenge 1: Find yourself on the map</a><ul>
<liclass="chapter"data-level="0.1.1"data-path="session-1.html"><ahref="session-1.html#part-1-building-a-data-set"><iclass="fa fa-check"></i><b>0.1.1</b> Part 1, building a data set:</a></li>
<liclass="chapter"data-level="0.1.2"data-path="session-1.html"><ahref="session-1.html#part-2-visualising-your-data"><iclass="fa fa-check"></i><b>0.1.2</b> Part 2, visualising your data:</a></li>
<liclass="chapter"data-level="0.1.3"data-path="session-2.html"><ahref="session-2.html#part-1-getting-data"><iclass="fa fa-check"></i><b>0.1.3</b> Part 1, getting data:</a></li>
<liclass="chapter"data-level="0.1.4"data-path="session-2.html"><ahref="session-2.html#part-2-visualisation-by-category"><iclass="fa fa-check"></i><b>0.1.4</b> Part 2, visualisation by category:</a></li>
<liclass="chapter"data-level="0.1.5"data-path="session-2.html"><ahref="session-2.html#part-3-visualisation-by-density"><iclass="fa fa-check"></i><b>0.1.5</b> Part 3, visualisation by density:</a></li>
<liclass="chapter"data-level="0.2"data-path="session-2.html"><ahref="session-2.html#extra-credit"><iclass="fa fa-check"></i><b>0.2</b> Extra credit:</a></li>
<liclass="chapter"data-level="0.3"data-path="session-2.html"><ahref="session-2.html#possible-diversion-icons"><iclass="fa fa-check"></i><b>0.3</b> Possible diversion (icons!):</a></li>
<p>This module has been designed to enable independent learners to gain a basic familiarity with data visualisation, using the CartoDB platform.</p>
<p>Ideally, a student should expect to invest at least four hours in independent learning activities over the course of a week. It should be possible to work through this a bit more slowly and in-depth. I have tried to point to a range of resources, both those which are accessible and those which are challenging.</p>
<p>For the week, we have divided content into four challenges. Included here (and below) is a brief introduction to the course. There are four additional sessions, which each have associated activities.</p>