Deploy commit: Merge pull request #686 from iod-ine/typos

Fix typos in C7, clarify a sentence in C8 42df99c

07-read-write-plot.md

@@ -49,13 +49,13 @@ Various 'geoportals' (web services providing geospatial datasets such as [Data.g
 \index{geoportals}
 Some global geoportals overcome this issue.
 The [GEOSS portal](http://www.geoportal.org/) and the [Copernicus Open Access Hub](https://scihub.copernicus.eu/), for example, contain many raster datasets with global coverage.
-A wealth of vector datasets can be accessed from the National Aeronautics and Space Administration agency (NASA), [SEDAC](http://sedac.ciesin.columbia.edu/) portal and the European Union's [INSPIRE geoportal](http://inspire-geoportal.ec.europa.eu/), with global and regional coverage.
+A wealth of vector datasets can be accessed from the National Aeronautics and Space Administration agency's (NASA) [SEDAC](http://sedac.ciesin.columbia.edu/) portal and the European Union's [INSPIRE geoportal](http://inspire-geoportal.ec.europa.eu/), with global and regional coverage.
 
 Most geoportals provide a graphical interface allowing datasets to be queried based on characteristics such as spatial and temporal extent, the United States Geological Services' [EarthExplorer](https://earthexplorer.usgs.gov/) being a prime example.
 *Exploring* datasets interactively on a browser is an effective way of understanding available layers.
 *Downloading* data is best done with code, however, from reproducibility and efficiency perspectives.
 Downloads can be initiated from the command line using a variety of techniques, primarily via URLs and APIs\index{API} (see the [Sentinel API](https://scihub.copernicus.eu/twiki/do/view/SciHubWebPortal/APIHubDescription) for example).
-Files hosted on static URLs can be downloaded with `download.file()`, as illustrated in the code chunk below which accesses US National Parks data from: [catalog.data.gov/dataset/national-parks](https://catalog.data.gov/dataset/national-parks):
+Files hosted on static URLs can be downloaded with `download.file()`, as illustrated in the code chunk below which accesses US National Parks data from [catalog.data.gov/dataset/national-parks](https://catalog.data.gov/dataset/national-parks):
 
 
 ```r
@@ -834,7 +834,7 @@ E1. List and describe three types of vector, raster, and geodatabase formats.
 
 E2. Name at least two differences between `read_sf()` and the more well-known function `st_read()`.
 
-E3. Read the `cycle_hire_xy.csv` file from the **spData** package as a spatial object (Hint: it is located in the `misc\` folder).
+E3. Read the `cycle_hire_xy.csv` file from the **spData** package as a spatial object (Hint: it is located in the `misc` folder).
 What is a geometry type of the loaded object? 
 
 E4. Download the borders of Germany using **rnaturalearth**, and create a new object called `germany_borders`.

08-mapping.md

@@ -189,7 +189,8 @@ Of course, these default values and other aesthetics can be overridden.
 The purpose of this section is to show how.
 
 There are two main types of map aesthetics: those that change with the data and those that are constant.
-Unlike **ggplot2**, which uses the helper function `aes()` to represent variable aesthetics, **tmap** accepts aesthetic arguments that are either variable fields (based on column names) or constant values.^[
+Unlike **ggplot2**, which uses the helper function `aes()` to represent variable aesthetics, **tmap** accepts aesthetic arguments directly.
+To map a variable to an aesthetic, pass its column name to the corresponding argument, and to set a fixed aesthetic, pass the desired value instead.^[
 If there is a clash between a fixed value and a column name, the column name takes precedence. This can be verified by running the next code chunk after running `nz$red = 1:nrow(nz)`.
 ]
 The most commonly used aesthetics for fill and border layers include color, transparency, line width and line type, set with `col`, `alpha`, `lwd`, and `lty` arguments, respectively.

adv-map.html

@@ -259,7 +259,8 @@ <h3>
 Of course, these default values and other aesthetics can be overridden.
 The purpose of this section is to show how.</p>
 <p>There are two main types of map aesthetics: those that change with the data and those that are constant.
-Unlike <strong>ggplot2</strong>, which uses the helper function <code><a href="https://ggplot2.tidyverse.org/reference/aes.html">aes()</a></code> to represent variable aesthetics, <strong>tmap</strong> accepts aesthetic arguments that are either variable fields (based on column names) or constant values.<a class="footnote-ref" tabindex="0" data-toggle="popover" data-content="&lt;p&gt;
+Unlike <strong>ggplot2</strong>, which uses the helper function <code><a href="https://ggplot2.tidyverse.org/reference/aes.html">aes()</a></code> to represent variable aesthetics, <strong>tmap</strong> accepts aesthetic arguments directly.
+To map a variable to an aesthetic, pass its column name to the corresponding argument, and to set a fixed aesthetic, pass the desired value instead.<a class="footnote-ref" tabindex="0" data-toggle="popover" data-content="&lt;p&gt;
 If there is a clash between a fixed value and a column name, the column name takes precedence. This can be verified by running the next code chunk after running &lt;code&gt;nz$red = 1:nrow(nz)&lt;/code&gt;.&lt;/p&gt;"><sup>44</sup></a>
 The most commonly used aesthetics for fill and border layers include color, transparency, line width and line type, set with <code>col</code>, <code>alpha</code>, <code>lwd</code>, and <code>lty</code> arguments, respectively.
 The impact of setting these with fixed values is illustrated in Figure <a href="adv-map.html#fig:tmstatic">8.3</a>.</p>

read-write.html

@@ -139,12 +139,12 @@ <h2>
 <p>
 Some global geoportals overcome this issue.
 The <a href="http://www.geoportal.org/">GEOSS portal</a> and the <a href="https://scihub.copernicus.eu/">Copernicus Open Access Hub</a>, for example, contain many raster datasets with global coverage.
-A wealth of vector datasets can be accessed from the National Aeronautics and Space Administration agency (NASA), <a href="http://sedac.ciesin.columbia.edu/">SEDAC</a> portal and the European Union’s <a href="http://inspire-geoportal.ec.europa.eu/">INSPIRE geoportal</a>, with global and regional coverage.</p>
+A wealth of vector datasets can be accessed from the National Aeronautics and Space Administration agency’s (NASA) <a href="http://sedac.ciesin.columbia.edu/">SEDAC</a> portal and the European Union’s <a href="http://inspire-geoportal.ec.europa.eu/">INSPIRE geoportal</a>, with global and regional coverage.</p>
 <p>Most geoportals provide a graphical interface allowing datasets to be queried based on characteristics such as spatial and temporal extent, the United States Geological Services’ <a href="https://earthexplorer.usgs.gov/">EarthExplorer</a> being a prime example.
 <em>Exploring</em> datasets interactively on a browser is an effective way of understanding available layers.
 <em>Downloading</em> data is best done with code, however, from reproducibility and efficiency perspectives.
 Downloads can be initiated from the command line using a variety of techniques, primarily via URLs and APIs (see the <a href="https://scihub.copernicus.eu/twiki/do/view/SciHubWebPortal/APIHubDescription">Sentinel API</a> for example).
-Files hosted on static URLs can be downloaded with <code><a href="https://rdrr.io/r/utils/download.file.html">download.file()</a></code>, as illustrated in the code chunk below which accesses US National Parks data from: <a href="https://catalog.data.gov/dataset/national-parks">catalog.data.gov/dataset/national-parks</a>:</p>
+Files hosted on static URLs can be downloaded with <code><a href="https://rdrr.io/r/utils/download.file.html">download.file()</a></code>, as illustrated in the code chunk below which accesses US National Parks data from <a href="https://catalog.data.gov/dataset/national-parks">catalog.data.gov/dataset/national-parks</a>:</p>
 <div class="sourceCode" id="cb238"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/utils/download.file.html">download.file</a></span><span class="op">(</span>url <span class="op">=</span> <span class="st">"http://nrdata.nps.gov/programs/lands/nps_boundary.zip"</span>,
               destfile <span class="op">=</span> <span class="st">"nps_boundary.zip"</span><span class="op">)</span>
@@ -1081,7 +1081,7 @@ <h2>
 </h2>
 <p>E1. List and describe three types of vector, raster, and geodatabase formats.</p>
 <p>E2. Name at least two differences between <code><a href="https://r-spatial.github.io/sf/reference/st_read.html">read_sf()</a></code> and the more well-known function <code><a href="https://r-spatial.github.io/sf/reference/st_read.html">st_read()</a></code>.</p>
-<p>E3. Read the <code>cycle_hire_xy.csv</code> file from the <strong>spData</strong> package as a spatial object (Hint: it is located in the <code>misc\</code> folder).
+<p>E3. Read the <code>cycle_hire_xy.csv</code> file from the <strong>spData</strong> package as a spatial object (Hint: it is located in the <code>misc</code> folder).
 What is a geometry type of the loaded object?</p>
 <p>E4. Download the borders of Germany using <strong>rnaturalearth</strong>, and create a new object called <code>germany_borders</code>.
 Write this new object to a file of the GeoPackage format.</p>