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Jeremy Kidwell 2023-10-12 18:50:44 +01:00
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@ -155,12 +155,6 @@ div.csl-indent {
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./index.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Preface</span></a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./intro.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Introduction: Hacking Religion</span></a>
</div>
</li>
@ -216,8 +210,8 @@ div.csl-indent {
<h2 id="toc-title">Table of contents</h2>
<ul>
<li><a href="#administrative-shapes---the-uk" id="toc-administrative-shapes---the-uk" class="nav-link active" data-scroll-target="#administrative-shapes---the-uk"><span class="header-section-number">4</span> Administrative shapes - the UK</a></li>
<li><a href="#load-in-ordnance-survey-openmap-points-data" id="toc-load-in-ordnance-survey-openmap-points-data" class="nav-link" data-scroll-target="#load-in-ordnance-survey-openmap-points-data"><span class="header-section-number">5</span> Load in Ordnance Survey OpenMap Points Data</a></li>
<li><a href="#administrative-shapes---the-uk" id="toc-administrative-shapes---the-uk" class="nav-link active" data-scroll-target="#administrative-shapes---the-uk"><span class="header-section-number">3.1</span> Administrative shapes - the UK</a></li>
<li><a href="#load-in-ordnance-survey-openmap-points-data" id="toc-load-in-ordnance-survey-openmap-points-data" class="nav-link" data-scroll-target="#load-in-ordnance-survey-openmap-points-data"><span class="header-section-number">3.2</span> Load in Ordnance Survey OpenMap Points Data</a></li>
<li><a href="#references" id="toc-references" class="nav-link" data-scroll-target="#references">References</a></li>
</ul>
</nav>
@ -249,8 +243,8 @@ div.csl-indent {
<p>The most complex aspect of point data relates to the ways that coordinates are encoded, as they will aways need to be associated with a coordinate reference system (CRS) which describes how they are situated with respect to the planet earth. The most common CRS is the WGS, though for our data sets we’ll also come into contact with the BGS, a specifically British coordinate reference system. There are dozens of CRS, usually mapping onto a specific geographical region. Bearing in mind the way that you need to use a CRS to understand how coordinates can be associated with specific parts of the earth, you can see how this is a bit like survey data, where you also need a “codebook” to understand what the specific response values map onto, e.g.&nbsp;a “1” means “strongly agree” and so on. We also saw, in a previous chapter, how some forms of data have the codebook already baked into the factor data, simplifying the process of interpreting the data. In a similar way, some types of geospatial data sets can also come with CRS “baked in” while we’ll need to define CRS for other types. Here are some of the most common types of geospatial data files:</p>
<p>CSV: “comma separated values” a plain text file containing various coordinates Shapefile: a legacy file format, often still in use, but being replaced by others for a variety of good reasons. For more on this see [http://switchfromshapefile.org/] Geopackage: one of the more recent ways of packaging up geospatial data. Geopackages can contain a wide variety of different data and are easily portable. GeoJSON: a file format commonly used in other forms of coding, the “JSON” (an acronym for JavaScript Object Notation) is meant to be easily interchangeable across various platforms. GeoJSON is an augmented version of JSON data with coordinates added in.</p>
<p>Now that you have a sense of some of the basic aspects of geospatial data, let’s dive in and do a bit of learning in action.</p>
<section id="administrative-shapes---the-uk" class="level1" data-number="4">
<h1 data-number="4"><span class="header-section-number">4</span> Administrative shapes - the UK</h1>
<section id="administrative-shapes---the-uk" class="level2" data-number="3.1">
<h2 data-number="3.1" class="anchored" data-anchor-id="administrative-shapes---the-uk"><span class="header-section-number">3.1</span> Administrative shapes - the UK</h2>
<p>A good starting point is to aquire some adminstrative data. This is a way of referring to political boundaries, whether country borders or those of a local authority or some other administrative unit. For our purposes, we’re going to import several different types of administrative boundary which will be used at different points in our visualisations below. It’s worth noting that the data we use here was prepared to support the 2011 census, and make use of the shapefile format.</p>
<div class="cell">
<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(sf) <span class="sc">|&gt;</span> <span class="fu">suppressPackageStartupMessages</span>()</span>
@ -310,8 +304,8 @@ i Use the conflicted package (&lt;http://conflicted.r-lib.org/&gt;) to force all
</div>
</div>
</section>
<section id="load-in-ordnance-survey-openmap-points-data" class="level1" data-number="5">
<h1 data-number="5"><span class="header-section-number">5</span> Load in Ordnance Survey OpenMap Points Data</h1>
<section id="load-in-ordnance-survey-openmap-points-data" class="level2" data-number="3.2">
<h2 data-number="3.2" class="anchored" data-anchor-id="load-in-ordnance-survey-openmap-points-data"><span class="header-section-number">3.2</span> Load in Ordnance Survey OpenMap Points Data</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb7"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Note: for more advanced reproducible scripts which demonstrate how these data surces have been </span></span>
<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a><span class="co"># obtained, see the companion cookbook here: https://github.com/kidwellj/hacking_religion_cookbook/blob/main/ordnance_survey.R</span></span>
@ -395,8 +389,8 @@ i Use the conflicted package (&lt;http://conflicted.r-lib.org/&gt;) to force all
<p>Guides to geographies: https://rconsortium.github.io/censusguide/ https://ocsi.uk/2019/03/18/lsoas-leps-and-lookups-a-beginners-guide-to-statistical-geographies/</p>
<p>Calculate proximity to pubs</p>
</section>
<section id="references" class="level1 unnumbered">
<h1 class="unnumbered">References</h1>
<section id="references" class="level2 unnumbered">
<h2 class="unnumbered anchored" data-anchor-id="references">References</h2>
<div id="refs" role="list" style="display: none">
</div>