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<title>Spatial Analysis Datasets for Teaching • geodaData</title>
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<meta property="og:description" content="Stores small spatial datasets used to teach basic spatial analysis
    concepts. Datasets are based off of the GeoDa software workbook and data
    site &lt;https://geodacenter.github.io/data-and-lab/&gt; developed by Luc Anselin
    and team at the University of Chicago. Datasets are stored as sf objects.">
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<div id="geodadata" class="section level1">
<div class="page-header"><h1 class="hasAnchor">
<a href="#geodadata" class="anchor"></a>geodaData</h1></div>
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<p>The goal of geodaData is to store sample spatial datasets. These datasets are intended to be used to teach basic spatial analysis concepts. They are used in the weekly R Spatial Workshop at the Center for Spatial Data Science at UChicago, and are based off of the <a href="https://geodacenter.github.io/documentation.html">GeoDa workbook</a> and <a href="https://geodacenter.github.io/data-and-lab/">data site</a> developed by Luc Anselin and team. Datasets are stored in the sf spatial object format.</p>
<div id="installation" class="section level2">
<h2 class="hasAnchor">
<a href="#installation" class="anchor"></a>Installation</h2>
<p>You can install geodaData from CRAN with:</p>
<div class="sourceCode" id="cb1"><pre class="downlit">
<span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span><span class="op">(</span><span class="st">"geodaData"</span><span class="op">)</span></pre></div>
<p>You can install the development version of geodaData from <a href="https://github.com/">GitHub</a> with:</p>
<div class="sourceCode" id="cb2"><pre class="downlit">
<span class="co"># install.packages("remotes")</span>
<span class="fu">remotes</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html">install_github</a></span><span class="op">(</span><span class="st">"spatialanalysis/geodaData"</span><span class="op">)</span></pre></div>
</div>
<div id="usage" class="section level2">
<h2 class="hasAnchor">
<a href="#usage" class="anchor"></a>Usage</h2>
<p>To use geodaData in a workshop, first load <code>sf</code>, then load the package:</p>
<div class="sourceCode" id="cb3"><pre class="downlit">
<span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://r-spatial.github.io/sf/">sf</a></span><span class="op">)</span> <span class="co"># can use without sf, but datasets will print weirdly in console</span>
<span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/spatialanalysis/geodaData">geodaData</a></span><span class="op">)</span></pre></div>
<p>Find a list of all datasets in geodaData with:</p>
<div class="sourceCode" id="cb4"><pre class="downlit">
<span class="fu"><a href="https://rdrr.io/r/utils/data.html">data</a></span><span class="op">(</span>package <span class="op">=</span> <span class="st">"geodaData"</span><span class="op">)</span></pre></div>
<p>You can load a specific dataset into your R environment and show the metadata for it:</p>
<div class="sourceCode" id="cb5"><pre class="downlit">
<span class="fu"><a href="https://rdrr.io/r/utils/head.html">head</a></span><span class="op">(</span><span class="va">nyc</span><span class="op">)</span>
<span class="op">?</span><span class="va">nyc</span></pre></div>
<p>Instructions for adding a new dataset to this package can be found in the <a href="https://github.com/spatialanalysis/geodaData/wiki/How-to-add-a-dataset-to-this-package">Wiki</a> of this repository.</p>
</div>
<div id="datasets" class="section level2">
<h2 class="hasAnchor">
<a href="#datasets" class="anchor"></a>Datasets</h2>
<p>Current datasets included in this package:</p>
<ul>
<li>
<code>abandonedcars</code>: Abandoned Vehicles (2016).</li>
<li>
<code>airbnb</code>: Airbnb rentals, socioeconomics, and crime in Chicago.</li>
<li>
<code>atlanta_homicide</code>: Atlanta, GA region homicide counts and rates.</li>
<li>
<code>baltimore_home</code>: Baltimore house sales prices and hedonics.</li>
<li>
<code>bostonhsg</code>: Boston housing and neighborhood data.</li>
<li>
<code>buenosaires</code>: Electoral Data for 1999 Argentinean Elections.</li>
<li>
<code>charleston1</code>: 2000 Census Tract Data for Charleston, SC MSA and counties.</li>
<li>
<code>charleston2</code>: 1998 and 2001 Zip Code Business Patterns (Census Bureau) in Charleston, SC MSA.</li>
<li>
<code>chigroceries</code>: Chicago supermarkets (2015).</li>
<li>
<code>chihealth</code>: Chicago Health and Socio-Economics (2014).</li>
<li>
<code>chilelabor</code>: Labor Markets in Chile (1982-2002).</li>
<li>
<code>chisociohealth</code>: Chicago Health Indicators (2005-11).</li>
<li>
<code>cincinnati</code>: Cincinnati Crime and Socio-Demographics (2008).</li>
<li>
<code>cleveland</code>: Cleveland Home Sales (2015).</li>
<li>
<code>columbus</code>: Columbus neighborhood crime (1980).</li>
<li>
<code>commpop</code>: Chicago Population Change (2000-2010).</li>
<li>
<code>community_pop</code>: Chicago Community Area Population for 2010 (non-spatial, csv).</li>
<li>
<code>denver</code>: Demographics and housing in Denver neighborhoods (2010).</li>
<li>
<code>elections1216</code>: 2012 and 2016 Presidential Elections in the United States.</li>
<li>
<code>grid100</code>: Grids with simulated variables.</li>
<li>
<code>guerry</code>: Guerry “Moral Statistics” (1830s).</li>
<li>
<code>healthplus</code>: Health, Income and Diversity for US counties (2000).</li>
<li>
<code>hickory1</code>: Census Tract Data for Hickory, NC MSA and counties (2000).</li>
<li>
<code>hickory2</code>: Zip Code Business Patterns (Census Bureau) for Hickory, NC MSA (1998 and 2001).</li>
<li>
<code>houstonhom</code>: Houston, TX region homicide counts and rates (1980s-90s).</li>
<li>
<code>juvenile</code>: Cardiff juvenile delinquent residences.</li>
<li>
<code>kchomesale</code>: Home Sales in King County, WA (2014-15).</li>
<li>
<code>lansing1</code>: 2000 Census Tract Data for Lansing, MI MSA and counties.</li>
<li>
<code>lansing2</code>: 1998 and 2001 Zip Code Business Patterns (Census Bureau) for Lansing, MI MSA.</li>
<li>
<code>laozone</code>: Ozone measures at monitoring stations in Los Angeles basin (1996).</li>
<li>
<code>lasrosas1</code>: Corn yield, fertilizer and field data for precision agriculture, Argentina (1999).</li>
<li>
<code>lasrosas2</code>: Corn yield, fertilizer and field data for precision agriculture, Argentina (1999).</li>
<li>
<code>liquorstore</code>: Chicago Liquor Stores (2015).</li>
<li>
<code>malaria_col_dept</code>: Malaria incidence and population (1973, 95, 93 censuses and projections until 2005).</li>
<li>
<code>malaria_col_munic</code>: Malaria incidence and population (1973, 95, 93 censuses and projections until 2005).</li>
<li>
<code>milwaukee1</code>: 2000 Census Tract Data for Milwaukee, WI MSA..</li>
<li>
<code>milwaukee2</code>: 1998 and 2001 Zip Code Business Patterns (Census Bureau) for Milwaukee, WI MSA.</li>
<li>
<code>mspolice</code>: Police expenditures Mississippi counties.</li>
<li>
<code>ncovr</code>: Homicides &amp; Socio-Economics (1960-90).</li>
<li>
<code>ndvi</code>: Normalized Difference Vegetation Index grid.</li>
<li>
<code>nepal</code>: Health, poverty and education indicators for Nepal districts (2007-14).</li>
<li>
<code>nyc</code>: Rental Housing and Demographics in NYC (2000s), non-spatial.</li>
<li>
<code>nyc_sf</code>: Rental Housing and Demographics in NYC (2000s).</li>
<li>
<code>nycearnings</code>: Block-level Earnings in NYC (2002-14).</li>
<li>
<code>nyceducation</code>: NYC Education (2000).</li>
<li>
<code>nycneighborhood</code>: Demographics for New York City neighborhoods (2000s).</li>
<li>
<code>nycsociodemo</code>: NYC Education and Socio-Demographics (2000s).</li>
<li>
<code>ohio_lung</code>: Ohio Lung Cancer Mortality (1960s-80s).</li>
<li>
<code>orlando1</code>: 2000 Census Tract Data for Orlando, FL MSA and counties.</li>
<li>
<code>orlando2</code>: 1998 and 2001 Zip Code Business Patterns (Census Bureau) for Orlando, FL MSA.</li>
<li>
<code>ozone9799</code>: Monthly ozone data, 1997-99.</li>
<li>
<code>phoenixACS</code>: Phoenix American Community Survey Data (2010, 5-year averages).</li>
<li>
<code>pittsburghom</code>: Pittsburgh homicide locations (1993).</li>
<li>
<code>sacramento1</code>: 2000 Census Tract Data for Sacramento MSA.</li>
<li>
<code>sacramento2</code>: 1998 and 2001 Zip Code Business Patterns (Census Bureau) for Sacramento MSA.</li>
<li>
<code>savannah1</code>: 2000 Census Tract Data for Savannah, GA MSA and counties.</li>
<li>
<code>savannah2</code>: 1998 and 2001 Zip Code Business Patterns (Census Bureau) for Savannah, GA MSA.</li>
<li>
<code>scotlip</code>: Male lip cancer in Scotland, 1975-80.</li>
<li>
<code>seattle1</code>: 2000 Census Tract Data for Seattle, WA MSA and counties.</li>
<li>
<code>seattle2</code>: 1998 and 2001 Zip Code Business Patterns (Census Bureau) for Seattle, WA MSA.</li>
<li>
<code>Sfcartheft</code>: Car theft incidents in San Francisco (points and area) - for CAST (July-Dec 2012).</li>
<li>
<code>Sfcrime</code>: Crime incidents in San Francisco (points and area) - for CAST (July-Dec 2012).</li>
<li>
<code>Sfdrugs</code>: Drug incidents in San Francisco (points and area) - for CAST (July-Dec 2012).</li>
<li>
<code>Sfrobbery</code>: Robbery incidents in San Francisco (points and area) - for CAST (July-Dec 2012).</li>
<li>
<code>Sfvandalism</code>: Vandalism incidents in San Francisco (points and area) - for CAST (July-Dec 2012).</li>
<li>
<code>SIDS</code>: North Carolina county SIDS death counts (1970s and 1980s).</li>
<li>
<code>snow</code>: John Snow &amp; the 19th Century Cholera Epidemic.</li>
<li>
<code>southom</code>: US Southern county homicides 1960-1990.</li>
<li>
<code>stlouishom</code>: St Louis region county homicide counts and rates (1980s and 1990s).</li>
<li>
<code>tampa</code>: 2000 Census Tract Data for Tampa, FL MSA and counties.</li>
<li>
<code>us_sdoh</code>: US Social Determinants of Health Data (2014).</li>
<li>
<code>vehicle_pts</code>: Point locations of abandoned vehicles in Chicago in September 2016.</li>
</ul>
</div>
<div id="similar-packages" class="section level2">
<h2 class="hasAnchor">
<a href="#similar-packages" class="anchor"></a>Similar Packages</h2>
<p>Interested in finding more R packages with spatial data included? Check out:</p>
<ul>
<li>
<a href="https://github.com/Nowosad/spData">spData</a>: package with large variety of spatial datasets, accompanies the <a href="https://geocompr.github.io">Geocomputation with R</a> book.</li>
<li>
<a href="https://github.com/walkerke/tidycensus">tidycensus</a> / <a href="https://github.com/walkerke/tigris">tigris</a>: API package for US Census data</li>
</ul>
</div>
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    <div class="links">
<h2>Links</h2>
<ul class="list-unstyled">
<li>Download from CRAN at <br><a href="https://cloud.r-project.org/package=geodaData">https://​cloud.r-project.org/​package=geodaData</a>
</li>
<li>Browse source code at <br><a href="https://github.com/spatialanalysis/geodaData/">https://​github.com/​spatialanalysis/​geodaData/​</a>
</li>
<li>Report a bug at <br><a href="https://github.com/spatialanalysis/geodaData/issues">https://​github.com/​spatialanalysis/​geodaData/​issues</a>
</li>
</ul>
</div>
<div class="license">
<h2>License</h2>
<ul class="list-unstyled">
<li>CC0</li>
</ul>
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<div class="developers">
<h2>Developers</h2>
<ul class="list-unstyled">
<li>Angela Li <br><small class="roles"> Author, maintainer </small> <a href="https://orcid.org/0000-0002-8956-419X" target="orcid.widget" aria-label="ORCID"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a> </li>
<li>Karina Acosta <br><small class="roles"> Author, contributor </small> <a href="https://orcid.org/0000-0001-5103-1147X" target="orcid.widget" aria-label="ORCID"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a> </li>
<li><a href="authors.html">All authors...</a></li>
</ul>
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