Deploy commit: Merge pull request #1088 from babayoshihiko/main

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05-geometry-operations.md

@@ -471,6 +471,11 @@ linestring = st_cast(multipoint, "LINESTRING")
 polyg = st_cast(multipoint, "POLYGON")
 ```
 
+
+```
+#> tmap v3 code detected. Specific changes listed below.
+```
+
 <div class="figure" style="text-align: center">
 <img src="figures/single-cast-1.png" alt="Examples of a linestring and a polygon casted from a multipoint geometry." width="100%" />
 <p class="caption">(\#fig:single-cast)Examples of a linestring and a polygon casted from a multipoint geometry.</p>

09-mapping.md

@@ -1218,6 +1218,7 @@ nlcd = rast(system.file("raster/nlcd.tif", package = "spDataLarge"))
 ```
 
 E1. Create a map showing the geographic distribution of the Human Development Index (`HDI`) across Africa with base **graphics** (hint: use `plot()`) and **tmap** packages (hint: use `tm_shape(africa) + ...`).
+
     - Name two advantages of each based on the experience.
     - Name three other mapping packages and an advantage of each.
     - Bonus: create three more maps of Africa using these three other packages.
@@ -1236,6 +1237,7 @@ Next, combine this map and the map created in the previous exercise into a singl
 
 
 E4. Create a land cover map of the Zion National Park.
+
     - Change the default colors to match your perception of the land cover categories
     - Add a scale bar and north arrow and change the position of both to improve the map's aesthetic appeal
     - Bonus: Add an inset map of Zion National Park's location in the context of the Utah state. (Hint: an object representing Utah can be subset from the `us_states` dataset.) 
@@ -1245,18 +1247,21 @@ E4. Create a land cover map of the Zion National Park.
 
 
 E5. Create facet maps of countries in Eastern Africa:
+
     - With one facet showing HDI and the other representing population growth (hint: using variables `HDI` and `pop_growth`, respectively)
     - With a 'small multiple' per country
 
 
 
 E6. Building on the previous facet map examples, create animated maps of East Africa:
+
     - Showing each country in order
     - Showing each country in order with a legend showing the HDI
 
 
 
 E7. Create an interactive map of HDI in Africa:
+
     - With **tmap**
     - With **mapview**
     - With **leaflet**
@@ -1265,13 +1270,15 @@ E7. Create an interactive map of HDI in Africa:
 
 
 E8. Sketch on paper ideas for a web mapping app that could be used to make transport or land-use policies more evidence based:
+
     - In the city you live, for a couple of users per day
     - In the country you live, for dozens of users per day
     - Worldwide for hundreds of users per day and large data serving requirements
 
 
 
 E9. Update the code in `coffeeApp/app.R` so that instead of centering on Brazil the user can select which country to focus on:
+
     - Using `textInput()`
     - Using `selectInput()`
 

404.html

@@ -131,7 +131,7 @@ <h2>Note: Second Edition is under final polishing 🏗</h2>
 <footer class="bg-primary text-light mt-5"><div class="container"><div class="row">
 
   <div class="col-12 col-md-6 mt-3">
-    <p>"<strong>Geocomputation with R</strong>" was written by Robin Lovelace, Jakub Nowosad, Jannes Muenchow. It was last built on 2024-04-13.</p>
+    <p>"<strong>Geocomputation with R</strong>" was written by Robin Lovelace, Jakub Nowosad, Jannes Muenchow. It was last built on 2024-04-22.</p>
   </div>
 
   <div class="col-12 col-md-6 mt-3">

attr.html

@@ -860,7 +860,7 @@ <h2>Note: Second Edition is under final polishing 🏗</h2>
 <footer class="bg-primary text-light mt-5"><div class="container"><div class="row">
 
   <div class="col-12 col-md-6 mt-3">
-    <p>"<strong>Geocomputation with R</strong>" was written by Robin Lovelace, Jakub Nowosad, Jannes Muenchow. It was last built on 2024-04-13.</p>
+    <p>"<strong>Geocomputation with R</strong>" was written by Robin Lovelace, Jakub Nowosad, Jannes Muenchow. It was last built on 2024-04-22.</p>
   </div>
 
   <div class="col-12 col-md-6 mt-3">

conclusion.html

@@ -132,7 +132,7 @@ <h2>
 </h2>
 <p>A feature of R, and open source software in general, is that there are often multiple ways to achieve the same result.
 The code chunk below illustrates this by using three functions, covered in Chapters <a href="attr.html#attr">3</a> and <a href="geometry-operations.html#geometry-operations">5</a>, to combine the 16 regions of New Zealand into a single geometry:</p>
-<div class="sourceCode" id="cb511"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb519"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><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://jakubnowosad.com/spData/">spData</a></span><span class="op">)</span></span>
 <span><span class="va">nz_u1</span> <span class="op">=</span> <span class="fu">sf</span><span class="fu">::</span><span class="fu"><a href="https://r-spatial.github.io/sf/reference/geos_combine.html">st_union</a></span><span class="op">(</span><span class="va">nz</span><span class="op">)</span></span>
 <span><span class="va">nz_u2</span> <span class="op">=</span> <span class="fu"><a href="https://rspatial.github.io/terra/reference/aggregate.html">aggregate</a></span><span class="op">(</span><span class="va">nz</span><span class="op">[</span><span class="st">"Population"</span><span class="op">]</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html">rep</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fu"><a href="https://rspatial.github.io/terra/reference/dimensions.html">nrow</a></span><span class="op">(</span><span class="va">nz</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>, <span class="va">sum</span><span class="op">)</span></span>
@@ -154,7 +154,7 @@ <h2>
 The same applies for all packages showcased in this book, although it can be helpful (when not distracting) to be aware of alternatives and being able to justify your choice of software.</p>
 <p>A common choice, for which there is no simple answer, is between <strong>tidyverse</strong> and base R for geocomputation.
 The following code chunk, for example, shows <strong>tidyverse</strong> and base R ways to extract the <code>Name</code> column from the <code>nz</code> object, as described in Chapter <a href="attr.html#attr">3</a>:</p>
-<div class="sourceCode" id="cb512"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb520"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><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://dplyr.tidyverse.org">dplyr</a></span><span class="op">)</span>                          <span class="co"># attach a tidyverse package</span></span>
 <span><span class="va">nz_name1</span> <span class="op">=</span> <span class="va">nz</span><span class="op">[</span><span class="st">"Name"</span><span class="op">]</span>                   <span class="co"># base R approach</span></span>
 <span><span class="va">nz_name2</span> <span class="op">=</span> <span class="va">nz</span> <span class="op">|&gt;</span>                        <span class="co"># tidyverse approach</span></span>
@@ -280,13 +280,13 @@ <h3>
 You could simply ask how to do this in one of the places outlined in the previous section.
 However, it is likely that you will get a better response if you provide a reproducible example of what you have tried so far.
 The following code creates a map of the world with blue sea and green land, but the land is not filled in:</p>
-<div class="sourceCode" id="cb513"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb521"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><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://r-spatial.github.io/sf/">sf</a></span><span class="op">)</span></span>
 <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://jakubnowosad.com/spData/">spData</a></span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rspatial.github.io/terra/reference/plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="https://r-spatial.github.io/sf/reference/st_geometry.html">st_geometry</a></span><span class="op">(</span><span class="va">world</span><span class="op">)</span>, col <span class="op">=</span> <span class="st">"green"</span><span class="op">)</span></span></code></pre></div>
 <p>If you post this code in a forum, it is likely that you will get a more specific and useful responses.
 For example, someone might respond with the following code, which demonstrably solves the problem, as illustrated in Figure <a href="conclusion.html#fig:16-synthesis-reprex">16.1</a>:</p>
-<div class="sourceCode" id="cb514"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb522"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><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://r-spatial.github.io/sf/">sf</a></span><span class="op">)</span></span>
 <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://jakubnowosad.com/spData/">spData</a></span><span class="op">)</span></span>
 <span><span class="co"># use the bg argument to fill in the land</span></span>
@@ -444,7 +444,7 @@ <h2>Note: Second Edition is under final polishing 🏗</h2>
 <footer class="bg-primary text-light mt-5"><div class="container"><div class="row">
 
   <div class="col-12 col-md-6 mt-3">
-    <p>"<strong>Geocomputation with R</strong>" was written by Robin Lovelace, Jakub Nowosad, Jannes Muenchow. It was last built on 2024-04-13.</p>
+    <p>"<strong>Geocomputation with R</strong>" was written by Robin Lovelace, Jakub Nowosad, Jannes Muenchow. It was last built on 2024-04-22.</p>
   </div>
 
   <div class="col-12 col-md-6 mt-3">