{"id":10753,"date":"2019-11-23T09:19:40","date_gmt":"2019-11-23T07:19:40","guid":{"rendered":"https:\/\/www.datanovia.com\/en\/?p=10753"},"modified":"2019-11-23T09:19:40","modified_gmt":"2019-11-23T07:19:40","slug":"comment-creer-une-carte-avec-ggplot2","status":"publish","type":"post","link":"https:\/\/www.datanovia.com\/en\/fr\/blog\/comment-creer-une-carte-avec-ggplot2\/","title":{"rendered":"Comment Cr\u00e9er une Carte avec GGPlot2"},"content":{"rendered":"<div id=\"rdoc\">\n<p>Cet article fournit de nombreux exemples pour la cr\u00e9ation d\u2019une <strong>carte avec ggplot<\/strong>. Vous apprendrez \u00e9galement comment cr\u00e9er une <strong>carte choropl\u00e8the<\/strong>, dans laquelle les zones sont structur\u00e9es proportionnellement aux valeurs d\u2019une variables donn\u00e9e affich\u00e9e sur la carte, telles que l\u2019esp\u00e9rance de vie ou la densit\u00e9 de population.<\/p>\n<p>Sommaire:<\/p>\n<div id=\"TOC\">\n<ul>\n<li><a href=\"#prerequis\">Pr\u00e9requis<\/a><\/li>\n<li><a href=\"#creer-une-carte-simple\">Cr\u00e9er une carte simple<\/a>\n<ul>\n<li><a href=\"#carte-du-monde\">Carte du monde<\/a><\/li>\n<li><a href=\"#carte-des-regions-specifiques\">Carte des r\u00e9gions sp\u00e9cifiques<\/a><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#faire-une-carte-choroplethe\">Faire une carte choropl\u00e8the<\/a>\n<ul>\n<li><a href=\"#carte-du-monde-coloree-par-lesperance-de-vie\">Carte du monde color\u00e9e par l\u2019esp\u00e9rance de vie<\/a><\/li>\n<li><a href=\"#carte-des-etats-unis-coloree-par-les-taux-de-crimes-violents\">Carte des \u00c9tats-Unis color\u00e9e par les taux de crimes violents<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div>\n<div class='dt-sc-hr-invisible-medium  '><\/div>\n<div class='dt-sc-ico-content type1'><div class='custom-icon' ><a href='https:\/\/www.datanovia.com\/en\/fr\/produit\/ggplot2-lessentiel-pour-une-visualisation-magnifique-des-donnees-dans-r\/' target='_blank'><span class='fa fa-book'><\/span><\/a><\/div><h4><a href='https:\/\/www.datanovia.com\/en\/fr\/produit\/ggplot2-lessentiel-pour-une-visualisation-magnifique-des-donnees-dans-r\/' target='_blank'> Livre Apparent\u00e9 <\/a><\/h4>GGPLOT2 - L\u2019Essentiel pour une Visualisation Magnifique des Donn\u00e9es dans R<\/div>\n<div class='dt-sc-hr-invisible-medium  '><\/div>\n<div id=\"prerequis\" class=\"section level2\">\n<h2>Pr\u00e9requis<\/h2>\n<p>Fonctions et packages R cl\u00e9s:<\/p>\n<ul>\n<li><strong>map_data<\/strong>() [dans ggplot2] pour r\u00e9cup\u00e9rer les donn\u00e9es cartographiques. N\u00e9cessite le package <code>maps<\/code>.<\/li>\n<li><strong>geom_polygon<\/strong>() [dans ggplot2] pour cr\u00e9er la carte<\/li>\n<\/ul>\n<p>Nous utiliserons le package <code>viridis<\/code> pour d\u00e9finir la palette de couleurs de la carte choropl\u00e8the.<\/p>\n<p>Charger les packages requis et d\u00e9finir le th\u00e8me par d\u00e9faut:<\/p>\n<pre class=\"r\"><code>library(ggplot2)\r\nlibrary(dplyr)\r\nrequire(maps)\r\nrequire(viridis)\r\ntheme_set(\r\n  theme_void()\r\n  )<\/code><\/pre>\n<\/div>\n<div id=\"creer-une-carte-simple\" class=\"section level2\">\n<h2>Cr\u00e9er une carte simple<\/h2>\n<div id=\"carte-du-monde\" class=\"section level3\">\n<h3>Carte du monde<\/h3>\n<p>R\u00e9cup\u00e9rer les donn\u00e9es de la carte du monde:<\/p>\n<pre class=\"r\"><code>world_map &lt;- map_data(\"world\")\r\nggplot(world_map, aes(x = long, y = lat, group = group)) +\r\n  geom_polygon(fill=\"lightgray\", colour = \"white\")<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/114-ggplot-map-world-map-1.png\" width=\"576\" \/><\/p>\n<\/div>\n<div id=\"carte-des-regions-specifiques\" class=\"section level3\">\n<h3>Carte des r\u00e9gions sp\u00e9cifiques<\/h3>\n<ol style=\"list-style-type: decimal;\">\n<li>R\u00e9cup\u00e9rer des donn\u00e9es cartographiques pour une ou plusieurs r\u00e9gions sp\u00e9cifiques:<\/li>\n<\/ol>\n<pre class=\"r\"><code># Quelques pays de l'UE\r\nsome.eu.countries &lt;- c(\r\n  \"Portugal\", \"Spain\", \"France\", \"Switzerland\", \"Germany\",\r\n  \"Austria\", \"Belgium\", \"UK\", \"Netherlands\",\r\n  \"Denmark\", \"Poland\", \"Italy\", \r\n  \"Croatia\", \"Slovenia\", \"Hungary\", \"Slovakia\",\r\n  \"Czech republic\"\r\n)\r\n# R\u00e9cup\u00e9rer les donn\u00e9es cartographiques\r\nsome.eu.maps &lt;- map_data(\"world\", region = some.eu.countries)\r\n\r\n# Calculer le centro\u00efde comme \u00e9tant la longitude et la lattitude moyennes\r\n# Utilis\u00e9 comme coordonn\u00e9e pour les noms de pays\r\nregion.lab.data &lt;- some.eu.maps %&gt;%\r\n  group_by(region) %&gt;%\r\n  summarise(long = mean(long), lat = mean(lat))<\/code><\/pre>\n<ol style=\"list-style-type: decimal;\" start=\"2\">\n<li>Visualiser<\/li>\n<\/ol>\n<pre class=\"r\"><code>ggplot(some.eu.maps, aes(x = long, y = lat)) +\r\n  geom_polygon(aes( group = group, fill = region))+\r\n  geom_text(aes(label = region), data = region.lab.data,  size = 3, hjust = 0.5)+\r\n  scale_fill_viridis_d()+\r\n  theme_void()+\r\n  theme(legend.position = \"none\")<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/114-ggplot-map-map-of-a-specific-region-1.png\" width=\"576\" \/><\/p>\n<\/div>\n<\/div>\n<div id=\"faire-une-carte-choroplethe\" class=\"section level2\">\n<h2>Faire une carte choropl\u00e8the<\/h2>\n<div id=\"carte-du-monde-coloree-par-lesperance-de-vie\" class=\"section level3\">\n<h3>Carte du monde color\u00e9e par l\u2019esp\u00e9rance de vie<\/h3>\n<p>Ici, nous allons cr\u00e9er une carte du monde color\u00e9e en fonction de la valeur de l\u2019esp\u00e9rance de vie \u00e0 la naissance en 2015. Les donn\u00e9es sont extraites de la base de donn\u00e9es de l\u2019OMS (Organisation mondiale de la sant\u00e9) \u00e0 l\u2019aide du [package R WHO] (<a class=\"uri\" href=\"https:\/\/cran.r-project.org\/web\/packages\/WHO\/vignettes\/who_vignette.html\">https:\/\/cran.r-project.org\/web\/packages\/WHO\/vignettes\/who_vignette.html<\/a>).<\/p>\n<ol style=\"list-style-type: decimal;\">\n<li>R\u00e9cup\u00e9rer les donn\u00e9es sur l\u2019esp\u00e9rance de vie et pr\u00e9parer les donn\u00e9es:<\/li>\n<\/ol>\n<pre class=\"r\"><code>life.exp &lt;- readr::read_tsv(\"data\/life.expectancy.who2015.txt\")<\/code><\/pre>\n<ol style=\"list-style-type: decimal;\" start=\"2\">\n<li>Fusionner la carte et les donn\u00e9es sur l\u2019esp\u00e9rance de vie:<\/li>\n<\/ol>\n<pre class=\"r\"><code>world_map &lt;- map_data(\"world\")\r\nlife.exp.map &lt;- left_join(life.exp, world_map, by = \"region\")<\/code><\/pre>\n<ol style=\"list-style-type: decimal;\" start=\"3\">\n<li>Cr\u00e9er la carte choropl\u00e8the. Notez qu\u2019il manque des donn\u00e9es pour certaines r\u00e9gions sur la carte ci-dessous:<\/li>\n<\/ol>\n<ul>\n<li>Utilisez la fonction <code>geom_polygon()<\/code>:<\/li>\n<\/ul>\n<pre class=\"r\"><code>ggplot(life.exp.map, aes(long, lat, group = group))+\r\n  geom_polygon(aes(fill = lifeExp ), color = \"white\")+\r\n  scale_fill_viridis_c(option = \"C\")<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/114-ggplot-map-choropleth-map-life-expectancy-1.png\" width=\"480\" \/><\/p>\n<ul>\n<li>Ou utilisez la fonction <code>geom_map()<\/code>:<\/li>\n<\/ul>\n<pre class=\"r\"><code>ggplot(life.exp.map, aes(map_id = region, fill = lifeExp))+\r\n  geom_map(map = life.exp.map,  color = \"white\")+\r\n  expand_limits(x = life.exp.map$long, y = life.exp.map$lat)+\r\n  scale_fill_viridis_c(option = \"C\")<\/code><\/pre>\n<\/div>\n<div id=\"carte-des-etats-unis-coloree-par-les-taux-de-crimes-violents\" class=\"section level3\">\n<h3>Carte des \u00c9tats-Unis color\u00e9e par les taux de crimes violents<\/h3>\n<p>Jeu de donn\u00e9es de d\u00e9monstration : USArrests (Taux de crimes violents par \u00c9tat am\u00e9ricain, en 1973).<\/p>\n<pre class=\"r\"><code># Pr\u00e9parer les donn\u00e9es USArrests\r\nlibrary(dplyr)\r\narrests &lt;- USArrests \r\narrests$region &lt;- tolower(rownames(USArrests))\r\nhead(arrests)<\/code><\/pre>\n<pre><code>##            Murder Assault UrbanPop Rape     region\r\n## Alabama      13.2     236       58 21.2    alabama\r\n## Alaska       10.0     263       48 44.5     alaska\r\n## Arizona       8.1     294       80 31.0    arizona\r\n## Arkansas      8.8     190       50 19.5   arkansas\r\n## California    9.0     276       91 40.6 california\r\n## Colorado      7.9     204       78 38.7   colorado<\/code><\/pre>\n<pre class=\"r\"><code># R\u00e9cup\u00e9rer les donn\u00e9es cartographiques des \u00e9tats et les fusionner avec les donn\u00e9es sur la criminalit\u00e9\r\nstates_map &lt;- map_data(\"state\")\r\narrests_map &lt;- left_join(states_map, arrests, by = \"region\")\r\n\r\n# Cr\u00e9er la carte\r\nggplot(arrests_map, aes(long, lat, group = group))+\r\n  geom_polygon(aes(fill = Assault), color = \"white\")+\r\n  scale_fill_viridis_c(option = \"C\")<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/114-ggplot-map-choropleth-map-color-1.png\" width=\"576\" \/><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!--end rdoc--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cet article fournit de nombreux exemples pour la cr\u00e9ation d\u2019une carte avec ggplot. Vous apprendrez \u00e9galement comment cr\u00e9er une carte choropl\u00e8the, dans laquelle les zones sont structur\u00e9es proportionnellement aux valeurs [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":10620,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rating_form_position":"","rating_results_position":"","mr_structured_data_type":"","footnotes":""},"categories":[279],"tags":[286],"class_list":["post-10753","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ggplot2-fr","tag-faq-ggplot2"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Comment Cr\u00e9er une Carte avec GGPlot2: Meilleure R\u00e9f\u00e9rence - Datanovia<\/title>\n<meta name=\"description\" content=\"Cet article fournit de nombreux exemples pour la cr\u00e9ation d&#039;une carte avec ggplot. 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