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diff --git a/.nojekyll b/.nojekyll
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diff --git a/EITcourse_GetYourDatasetReady2024.pdf b/EITcourse_GetYourDatasetReady2024.pdf
diff --git a/about.html b/about.html
@@ -315,7 +315,11 @@ <h2 class="unnumbered anchored" data-anchor-id="rosa-félix">Rosa Félix</h2>
 <p>Rosa Félix is a senior post-doctoral researcher at the Instituto Superior Técnico – University of Lisbon and member of the U-Shift lab, in the Transportation Research Group of CERIS. Having a background of Urban Planning Engineering, she completed her Ph.D.&nbsp;in Transport Systems in 2019 at Instituto Superior Técnico (MIT Portugal program), and was a Visiting Scholar at Portland State University in 2017/18.</p>
 <p>Rosa is an active mobility researcher, and excels in R and GIS. She is an open source and reproducible research enthusiast. Her publications include articles on cycling and behavior change, and open source code solutions to specific GIS and mobility problems. Every year, Rosa lectures a course for cycling infrastructure planning and design for practitioners, and also teaches GIS for transportation and introduction to programming for MSc course of Transportation Systems.&nbsp;</p>
 <p>Rosa has worked in multiple R&amp;D and consultancy projects with both municipalities and industry, such as the Municipality of Lisbon (2019-2022) and the Department for Transportation of Lisbon Metro (2023), in which she developed a digital tool<a href="#fn1" class="footnote-ref" id="fnref1" role="doc-noteref"><sup>1</sup></a> to support the planning of the metropolitan cycling network, in collaboration with Institute for Transport Studies of the University of Leeds.</p>
-<p><img src="images/rosa_greencap2000.jpg" class="img-fluid" width="370"></p>
+<div class="quarto-figure quarto-figure-center">
+<figure class="figure">
+<p><img src="images/rosa_greencap2000.jpg" class="img-fluid quarto-figure quarto-figure-center figure-img" width="370"></p>
+</figure>
+</div>
 </section>
 <section id="gabriel-valença" class="level2 unnumbered">
 <h2 class="unnumbered anchored" data-anchor-id="gabriel-valença">Gabriel Valença</h2>
@@ -326,7 +330,11 @@ <h2 class="unnumbered anchored" data-anchor-id="gabriel-valença">Gabriel Valen
 <p>Gabriel Valença is a post-doctoral researcher at the Instituto Superior Técnico - University of Lisbon and member of the U-Shift lab in Transportation Research Group of CERIS, where he recently completed his Ph.D.&nbsp;in Transportation Systems.</p>
 <p>He has experience in R programming with applications related to transport demand modelling, data science, GIS and machine learning. He is a member of the European Doctoral Training Network from the 1st intake. He did his international placement at the Technical University of Denmark for 6 months.</p>
 <p>His background is in Civil Engineering, where he graduated at the Federal University of Rio Grande do Norte (UFRN) in Brazil, while studying part of his degree at the University of Toronto, in Canada. His main research areas are in integrating concepts related to street design, smart cities, urban mobility and intelligent transportation systems focusing on traveler behavior, transport demand modelling and artificial intelligence.&nbsp;</p>
-<p><img src="images/clipboard-1707780526.png" class="img-fluid" width="400"></p>
+<div class="quarto-figure quarto-figure-center">
+<figure class="figure">
+<p><img src="images/clipboard-1707780526.png" class="img-fluid quarto-figure quarto-figure-center figure-img" width="400"></p>
+</figure>
+</div>
 </section>
 <section id="rafael-h.-m.-pereira" class="level2 unnumbered">
 <h2 class="unnumbered anchored" data-anchor-id="rafael-h.-m.-pereira">Rafael H. M. Pereira</h2>
@@ -337,7 +345,11 @@ <h2 class="unnumbered anchored" data-anchor-id="rafael-h.-m.-pereira">Rafael H.
 <p>Rafael H. M. Pereira is a senior researcher in the fields of urban analytics, spatial data science and transport studies at the Institute for Applied Economic Research (Ipea), Brazil. His research looks broadly at how urban policies and technologies shape the spatial organization of cities, human mobility as well as their impacts on social and health inequalities.</p>
 <p>Some of his key contributions to the fields of urban analytics and planning involve the development of new methods and open-source computational tools to the study of urban systems and transportation networks. These contributions emerge from substantive interests around social justice and sustainability issues in urban development, with particular focus on transportation equity and inequalities in access to opportunities, and the environmental impacts of built environments and mobility patterns.</p>
 <p>With a background in Sociology and Demography, Dr.&nbsp;Pereira obtained his PhD in Geography from the Transport Studies Unit at Oxford University.</p>
-<p><img src="images/clipboard-1490291846.png" class="img-fluid" width="400"></p>
+<div class="quarto-figure quarto-figure-center">
+<figure class="figure">
+<p><img src="images/clipboard-1490291846.png" class="img-fluid quarto-figure quarto-figure-center figure-img" width="400"></p>
+</figure>
+</div>
 
 
 <!-- -->
@@ -1001,7 +1013,7 @@ <h2 class="unnumbered anchored" data-anchor-id="rafael-h.-m.-pereira">Rafael H.
 <span id="cb1-21"><a href="#cb1-21" aria-hidden="true" tabindex="-1"></a><span class="ot">[^about-1]: </span>Biclar.</span>
 <span id="cb1-22"><a href="#cb1-22" aria-hidden="true" tabindex="-1"></a>    Available at: <span class="ot">&lt;https://biclar.tmlmobilidade.pt&gt;</span></span>
 <span id="cb1-23"><a href="#cb1-23" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-24"><a href="#cb1-24" aria-hidden="true" tabindex="-1"></a><span class="al">![](images/rosa_greencap2000.jpg)</span>{width="370"}</span>
+<span id="cb1-24"><a href="#cb1-24" aria-hidden="true" tabindex="-1"></a><span class="al">![](images/rosa_greencap2000.jpg)</span>{fig-align="center" width="370"}</span>
 <span id="cb1-25"><a href="#cb1-25" aria-hidden="true" tabindex="-1"></a></span>
 <span id="cb1-26"><a href="#cb1-26" aria-hidden="true" tabindex="-1"></a><span class="fu">## Gabriel Valença {.unnumbered}</span></span>
 <span id="cb1-27"><a href="#cb1-27" aria-hidden="true" tabindex="-1"></a></span>
@@ -1020,7 +1032,7 @@ <h2 class="unnumbered anchored" data-anchor-id="rafael-h.-m.-pereira">Rafael H.
 <span id="cb1-40"><a href="#cb1-40" aria-hidden="true" tabindex="-1"></a>His background is in Civil Engineering, where he graduated at the Federal University of Rio Grande do Norte (UFRN) in Brazil, while studying part of his degree at the University of Toronto, in Canada.</span>
 <span id="cb1-41"><a href="#cb1-41" aria-hidden="true" tabindex="-1"></a>His main research areas are in integrating concepts related to street design, smart cities, urban mobility and intelligent transportation systems focusing on traveler behavior, transport demand modelling and artificial intelligence.&nbsp;</span>
 <span id="cb1-42"><a href="#cb1-42" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-43"><a href="#cb1-43" aria-hidden="true" tabindex="-1"></a><span class="al">![](images/clipboard-1707780526.png)</span>{width="400"}</span>
+<span id="cb1-43"><a href="#cb1-43" aria-hidden="true" tabindex="-1"></a><span class="al">![](images/clipboard-1707780526.png)</span>{fig-align="center" width="400"}</span>
 <span id="cb1-44"><a href="#cb1-44" aria-hidden="true" tabindex="-1"></a></span>
 <span id="cb1-45"><a href="#cb1-45" aria-hidden="true" tabindex="-1"></a><span class="fu">## Rafael H. M. Pereira {.unnumbered}</span></span>
 <span id="cb1-46"><a href="#cb1-46" aria-hidden="true" tabindex="-1"></a></span>
@@ -1038,7 +1050,7 @@ <h2 class="unnumbered anchored" data-anchor-id="rafael-h.-m.-pereira">Rafael H.
 <span id="cb1-58"><a href="#cb1-58" aria-hidden="true" tabindex="-1"></a></span>
 <span id="cb1-59"><a href="#cb1-59" aria-hidden="true" tabindex="-1"></a>With a background in Sociology and Demography, Dr. Pereira obtained his PhD in Geography from the Transport Studies Unit at Oxford University.</span>
 <span id="cb1-60"><a href="#cb1-60" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-61"><a href="#cb1-61" aria-hidden="true" tabindex="-1"></a><span class="al">![](images/clipboard-1490291846.png)</span>{width="400"}</span></code><button title="Copy to Clipboard" class="code-copy-button" data-in-quarto-modal=""><i class="bi"></i></button></pre></div>
+<span id="cb1-61"><a href="#cb1-61" aria-hidden="true" tabindex="-1"></a><span class="al">![](images/clipboard-1490291846.png)</span>{fig-align="center" width="400"}</span></code><button title="Copy to Clipboard" class="code-copy-button" data-in-quarto-modal=""><i class="bi"></i></button></pre></div>
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diff --git a/desire-lines.html b/desire-lines.html
diff --git a/distances.html b/distances.html
diff --git a/index.html b/index.html
@@ -9,7 +9,7 @@
 <meta name="author" content="Rosa Félix">
 <meta name="author" content="Gabriel Valença">
 <meta name="author" content="Rafael Pereira">
-<meta name="dcterms.date" content="2024-09-11">
+<meta name="dcterms.date" content="2024-09-12">
 
 <title>Get your dataset ready!</title>
 <style>
@@ -134,10 +134,10 @@
 <meta name="citation_author" content="Rosa Félix">
 <meta name="citation_author" content="Gabriel Valença">
 <meta name="citation_author" content="Rafael Pereira">
-<meta name="citation_publication_date" content="2024-09-11">
-<meta name="citation_cover_date" content="2024-09-11">
+<meta name="citation_publication_date" content="2024-09-12">
+<meta name="citation_cover_date" content="2024-09-12">
 <meta name="citation_year" content="2024">
-<meta name="citation_online_date" content="2024-09-11">
+<meta name="citation_online_date" content="2024-09-12">
 <meta name="citation_language" content="en">
 <meta name="citation_reference" content="citation_title=Literate Programming;,citation_author=Donald E. Knuth;,citation_publication_date=1984;,citation_cover_date=1984;,citation_year=1984;,citation_fulltext_html_url=https://doi.org/10.1093/comjnl/27.2.97;,citation_issue=2;,citation_doi=10.1093/comjnl/27.2.97;,citation_issn=0010-4620;,citation_volume=27;,citation_journal_title=Comput. J.;,citation_publisher=Oxford University Press, Inc.;">
 <meta name="citation_reference" content="citation_title=Mobilidade e funcionalidade do território nas Áreas Metropolitanas do Porto e de Lisboa: 2017;,citation_author=undefined INE;,citation_publication_date=2018;,citation_cover_date=2018;,citation_year=2018;,citation_fulltext_html_url=https://www.ine.pt/xportal/xmain?xpid=INE&amp;amp;amp;xpgid=ine_publicacoes&amp;PUBLICACOESpub_boui=349495406&amp;PUBLICACOESmodo=2&amp;xlang=pt;,citation_isbn=978-989-25-0478-0;,citation_technical_report_institution=Instituto National de Estatística;">
@@ -373,7 +373,7 @@ <h2 id="toc-title">Table of contents</h2>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">September 11, 2024</p>
+      <p class="date">September 12, 2024</p>
     </div>
   </div>
 

diff --git a/open-data.html b/open-data.html
diff --git a/search.json b/search.json
@@ -115,7 +115,7 @@
     "href": "software.html#r",
     "title": "3  Software",
     "section": "",
-    "text": "WindowsMacUbuntu\n\n\nDownload R-4.4.1 for Windows and run the executable file.\nYou will also need to install Rtools, which is a collection of tools necessary to build R packages in Windows.\n\n\nDownload R-4.4.1 for MacOX. You will have to choose between the arm64 or the x86-64 version.\nDownload the .pkg file and install it as usual.\n\n\n\nThese are instructions for Ubuntu. If you use other linux distribution, please follow the instructions on The Comprehensive R Archive Network - CRAN.\n\nYou can look for R in the Ubuntu Software Center or install it via the terminal:\n\n# sudo apt update && sudo apt upgrade -y\nsudo apt install r-base\n\nOr, if you prefer, you can install the latest version of R from CRAN:\n\n# update indices\nsudo apt update -qq\n# install two helper packages we need\nsudo apt install --no-install-recommends software-properties-common dirmngr\n# add the signing key (by Michael Rutter) for these repos\nwget -qO- https://cloud.r-project.org/bin/linux/ubuntu/marutter_pubkey.asc | sudo tee -a /etc/apt/trusted.gpg.d/cran_ubuntu_key.asc\n# add the R 4.0 repo from CRAN -- adjust 'focal' to 'groovy' or 'bionic' as needed\nsudo add-apt-repository \"deb https://cloud.r-project.org/bin/linux/ubuntu $(lsb_release -cs)-cran40/\"\n\nThen run:\n\nsudo apt install r-base r-base-core r-recommended r-base-dev\n\n[Optional] To keep up-to-date r version and packages, you can follow the instructions at r2u",
+    "text": "WindowsMacUbuntu\n\n\nDownload R-4.4.1 for Windows and run the executable file.\n\n\n\n\n\n\nImportant\n\n\n\nYou will also need to install Rtools, which is a collection of tools necessary to build R packages in Windows.\n\n\n\n\nDownload R-4.4.1 for MacOX. You will have to choose between the arm64 or the x86-64 version.\nDownload the .pkg file and install it as usual.\n\n\n\nThese are instructions for Ubuntu. If you use other linux distribution, please follow the instructions on The Comprehensive R Archive Network - CRAN.\n\nYou can look for R in the Ubuntu Software Center or install it via the terminal:\n\n# sudo apt update && sudo apt upgrade -y\nsudo apt install r-base\n\nOr, if you prefer, you can install the latest version of R from CRAN:\n\n# update indices\nsudo apt update -qq\n# install two helper packages we need\nsudo apt install --no-install-recommends software-properties-common dirmngr\n# add the signing key (by Michael Rutter) for these repos\nwget -qO- https://cloud.r-project.org/bin/linux/ubuntu/marutter_pubkey.asc | sudo tee -a /etc/apt/trusted.gpg.d/cran_ubuntu_key.asc\n# add the R 4.0 repo from CRAN -- adjust 'focal' to 'groovy' or 'bionic' as needed\nsudo add-apt-repository \"deb https://cloud.r-project.org/bin/linux/ubuntu $(lsb_release -cs)-cran40/\"\n\nThen run:\n\nsudo apt install r-base r-base-core r-recommended r-base-dev\n\n[Optional] To keep up-to-date r version and packages, you can follow the instructions at r2u",
     "crumbs": [
       "**Day 1**",
       "<span class='chapter-number'>3</span>  <span class='chapter-title'>Software</span>"
@@ -599,7 +599,7 @@
     "href": "open-data.html#road-networks",
     "title": "11  Open transportation data",
     "section": "",
-    "text": "11.1.1 OpenStreetMap\nThe OpenStreetMap is a collaborative online mapping project that creates a free editable map of the world.\nThis is the most used source of road network data for transportation analysis in academia, since it is available almost everywhere in the world, is open and free to use.\n\n\n\n\n\n\nAlthough it can be not 100% accurate, OSM is a good source of data for most of the cases.\n\n\n\nYou can access it’s visualization tool at www.openstreetmap.org. To edit the map, you can use the Editor, once you register.\nIf you want to download the data, you can use the following tools.\n\nOverpass API\nGeofabrik\n\nThese websites include all the OSM data, with much more information than you need.\n\n\n11.1.2 HOT Export Tool\nThis interactive tool helps you to select the region you want to extract, the type of information to include, and the output data format.\nAccess via export.hotosm.org. You need an OSM account to use it.\n\nAfter the export, you can read in R using the sf package:\n\n\nCode\nGent = sf::st_read(\"data/Gent_center.gpkg\", quiet = TRUE)\n\nmapview::mapview(Gent, zcol = \"highway\")\n\n\n\n\n\n\n\n\n11.1.3 OSM in R\nThere are also some R packages that can help you to download and work with OpenStreetMap data, such as:\n\nosmdata\nosmextract\n\nThis is an example of how to download OpenStreetMap road network data using the osmextract package:\n\n\nCode\nlibrary(osmextract)\nOSM_Malta = oe_get_network(place = \"Malta\") # it will geocode the place\n\nMalta_main_roads = OSM_Malta |&gt; \n  filter(highway %in% c(\"primary\", \"secondary\", \"tertiary\", \"trunk\"))\n\nplot(Malta_main_roads[\"highway\"])",
+    "text": "11.1.1 OpenStreetMap\nThe OpenStreetMap is a collaborative online mapping project that creates a free editable map of the world.\nThis is the most used source of road network data for transportation analysis in academia, since it is available almost everywhere in the world, is open and free to use.\n\n\n\n\n\n\nAlthough it can be not 100% accurate, OSM is a good source of data for most of the cases.\n\n\n\nYou can access it’s visualization tool at www.openstreetmap.org. To edit the map, you can use the Editor, once you register.\nIf you want to download the data, you can use the following tools.\n\nOverpass API\nGeofabrik\n\nThese websites include all the OSM data, with much more information than you need.\n\n\n11.1.2 HOT Export Tool\nThis interactive tool helps you to select the region you want to extract, the type of information to include, and the output data format.\nAccess via export.hotosm.org1.\n\nAfter the export, you can read in R using the sf package:\n\n\nCode\nGent = sf::st_read(\"data/Gent_center.gpkg\", quiet = TRUE)\n\nmapview::mapview(Gent, zcol = \"highway\")\n\n\n\n\n\n\n\n\n11.1.3 OSM in R\nThere are also some R packages that can help you to download and work with OpenStreetMap data, such as:\n\nosmdata\nosmextract\n\nThis is an example of how to download OpenStreetMap road network data using the osmextract package:\n\n\nCode\nlibrary(osmextract)\nOSM_Malta = oe_get_network(place = \"Malta\") # it will geocode the place\n\nMalta_main_roads = OSM_Malta |&gt; \n  filter(highway %in% c(\"primary\", \"secondary\", \"tertiary\", \"trunk\"))\n\nplot(Malta_main_roads[\"highway\"])",
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@@ -616,6 +616,17 @@
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+    "text": "You need an OSM account to use it.↩︎",
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