Deploy commit: Merge pull request #1154 from eblondel/update-geometa

Nowosad · Nowosad · commit a13f169c96f4 · 2025-04-28T12:30:36.000Z
Update 08-read-write-plot.Rmd - geometa ISO 19115-3 support 53790ad
diff --git a/08-read-write-plot.md b/08-read-write-plot.md
@@ -761,7 +761,7 @@ They help make datasets FAIR (Findable, Accessible, Interoperable, Reusable) and
 These standards are widely used within spatial data infrastructures, handled through metadata catalogs.
 
 Geographic metadata can be managed with **geometa**, a package that allows writing, reading and validating geographic metadata according to the ISO/OGC standards. 
-It already supports various international standards for geographic metadata information, such as the ISO 19110 (feature catalogue), ISO 19115-1 and 19115-2 (geographic metadata for vector and gridded/imagery datasets), ISO 19119 (geographic metadata for service), and ISO 19136 (Geographic Markup Language) providing methods to read, validate and write geographic metadata from R using the ISO/TS 19139 (XML) technical specification.
+It already supports various international standards for geographic metadata information, such as the ISO 19110 (feature catalogue), legacy ISO 19115-1 and 19115-2 (geographic metadata for vector and gridded/imagery datasets), ISO 19115-3, ISO 19119 (geographic metadata for service), and ISO 19136 (Geographic Markup Language) providing methods to read, validate and write geographic metadata from R using the ISO/TS 19139 (XML) and ISO 19115-3 technical specifications.
 <!-- To address the complexity and exhaustiveness the standards, and the advanced knowledge required to use them, complementary packages such as [**geoflow**](https://github.com/r-geoflow/geoflow) have been built to ease and automate the management of metadata. -->
 Geographic metadata can be created with **geometa** as follows, which creates and saves a metadata file:
 
diff --git a/13-transport.md b/13-transport.md
@@ -570,7 +570,7 @@ routes_short_scenario = routes_short |>
   mutate(bicycle = bicycle + car_driver * uptake,
          car_driver = car_driver * (1 - uptake))
 sum(routes_short_scenario$bicycle) - sum(routes_short$bicycle)
-#> [1] 3270
+#> [1] 3273
 ```
 
 Having created a scenario in which approximately 4000 trips have switched from driving to cycling, we can now model where this updated modeled cycling activity will take place.
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@@ -1,7 +1,7 @@
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@@ -49,7 +49,7 @@ Its current 'build status' as follows:
 
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@@ -1001,7 +1001,7 @@ <h2>
 They help make datasets FAIR (Findable, Accessible, Interoperable, Reusable) and are defined by the ISO/OGC standards, in particular the ISO 19115 standard and underlying schemas.
 These standards are widely used within spatial data infrastructures, handled through metadata catalogs.</p>
 <p>Geographic metadata can be managed with <strong>geometa</strong>, a package that allows writing, reading and validating geographic metadata according to the ISO/OGC standards.
-It already supports various international standards for geographic metadata information, such as the ISO 19110 (feature catalogue), ISO 19115-1 and 19115-2 (geographic metadata for vector and gridded/imagery datasets), ISO 19119 (geographic metadata for service), and ISO 19136 (Geographic Markup Language) providing methods to read, validate and write geographic metadata from R using the ISO/TS 19139 (XML) technical specification.
+It already supports various international standards for geographic metadata information, such as the ISO 19110 (feature catalogue), legacy ISO 19115-1 and 19115-2 (geographic metadata for vector and gridded/imagery datasets), ISO 19115-3, ISO 19119 (geographic metadata for service), and ISO 19136 (Geographic Markup Language) providing methods to read, validate and write geographic metadata from R using the ISO/TS 19139 (XML) and ISO 19115-3 technical specifications.
 <!-- To address the complexity and exhaustiveness the standards, and the advanced knowledge required to use them, complementary packages such as [**geoflow**](https://github.com/r-geoflow/geoflow) have been built to ease and automate the management of metadata. -->
 Geographic metadata can be created with <strong>geometa</strong> as follows, which creates and saves a metadata file:</p>
 <div class="sourceCode" id="cb288"><pre class="downlit sourceCode r">
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diff --git a/transport.html b/transport.html
@@ -652,7 +652,7 @@ <h2>
 <span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span><span class="op">(</span>bicycle <span class="op">=</span> <span class="va">bicycle</span> <span class="op">+</span> <span class="va">car_driver</span> <span class="op">*</span> <span class="va">uptake</span>,</span>
 <span>         car_driver <span class="op">=</span> <span class="va">car_driver</span> <span class="op">*</span> <span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">uptake</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/sum.html">sum</a></span><span class="op">(</span><span class="va">routes_short_scenario</span><span class="op">$</span><span class="va">bicycle</span><span class="op">)</span> <span class="op">-</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html">sum</a></span><span class="op">(</span><span class="va">routes_short</span><span class="op">$</span><span class="va">bicycle</span><span class="op">)</span></span>
-<span><span class="co">#&gt; [1] 3270</span></span></code></pre></div>
+<span><span class="co">#&gt; [1] 3273</span></span></code></pre></div>
 <p>Having created a scenario in which approximately 4000 trips have switched from driving to cycling, we can now model where this updated modeled cycling activity will take place.
 For this, we will use the function <code><a href="https://docs.ropensci.org/stplanr/reference/overline.html">overline()</a></code> from the <strong>stplanr</strong> package.
 The function breaks linestrings at junctions (where two or more linestring geometries meet), and calculates aggregate statistics for each unique route segment <span class="citation">(<a href="references.html#ref-morgan_travel_2020">Morgan and Lovelace 2020</a>)</span>, taking an object containing routes and the names of the attributes to summarize as the first and second argument:</p>
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+    <p>"<strong>Geocomputation with R</strong>" was written by Robin Lovelace, Jakub Nowosad, Jannes Muenchow. It was last built on 2025-04-28.</p>
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