Spatial Data and the Tidyverse

<P>This mini-workshop will introduce you to recent developments that enable work with spatial data 'in the tidyverse'. By this we mean handling spatial datasets using functions (such as %>% and filter()) and concepts (such as type stability) from R packages that are part of the metapackage <STRONG>tidyverse</STRONG>, which can now be installed from CRAN with the following command:</P>
<DIV CLASS="remark-code-line">install.packages(<SPAN CLASS="hljs-string">"tidyverse"</SPAN>)</DIV>
<P>This functionality is possible thanks to <STRONG>sf</STRONG>, a recent package (first release in 2016) that implements the open standard data model <EM>simple features</EM>. Get <STRONG>sf</STRONG> with:</P>
<DIV CLASS="remark-code-line">install.packages(<SPAN CLASS="hljs-string">"sf"</SPAN>)</DIV>
<P>The workshop will briefly introduce both packages (which should be installed on your computer before attending) before demonstrating how they can work in harmony using a dataset from the <STRONG>spData</STRONG> package, which can be installed with:</P>
<DIV CLASS="remark-code-line">install.packages(<SPAN CLASS="hljs-string">"spData"</SPAN>)</DIV>
<P>The workshop is based on our work on the forthcoming book <EM>Geocomputation with R</EM> - please take a look at the book and its source code prior to the workshop here: <A HREF="https://github.com/Robinlovelace/geocompr" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">github.com/Robinlovelace/geocompr</A>.</P>

University of Leeds School of Medicine

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Spatial Data and the Tidyverse

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