44:["$","title",null,{"children":"SAE 303 — Gr 12 | MMI Montbéliard | Observable"}] 4c:T4e1,--- ## 5 questions avant de dessiner ### 1. Nature de Variable a. BDIFF, incendie : - **Données qualitatives nominales** Origine connue ou présumée du feu - **Qualitatives continues** Surface totale parcourue par les flammes en hectares - **Temporelles** Dates & heures de déclenchement - **Spatiales** Coordonnées X/Y ou point de départ du feu b. DataHub, installation à risque : - **Qualitatives nominales** Nom et code de l'établissement, Type d’activité principale, code de la commune d’implantation - **Spatial** Emplacement géographique du site à risque c. Fichier GeoJSON , métropole / découpage - **Spatiales** Contours cartographiques des communes de bordeaux métropoles - **Qualitatives nominales** Identifiants administratifs rattachés ### 2. La moyenne ment-elle ? La moyenne ment au sujet des nombres d'incendies. Puisque les gros rares gros feux biaises les nombreux petits feux qui sont maîtriser rapidements. ### 3. à quoi ressemble la distribution ? **Distribution des origines des feux en Nouvelle Aquitaine.** - La distribution est déséquilibrée, on a beaucoup plus de Nature non identifié. Nous allons donc notifier ce déséquilibre et travailler avec ses données renseignées.4d:T5f7,#### Fiche Distribution 1. **La question :** quelle est la première origine d’un feu ? 2. **La famille :** histogramme 3. **L'encodage choisi et pourquoi :** Pour évaluer la distribution, il est plus simple de quantifier une valeur visuellement avec des barres plus ou moins grandes. 4. **Le dénominateur :** la nature des feux 5. **Le titre et le sous-titre porteur :** - Titre : à quoi ressemble la distribution ? - Sous titre : Distribution des origines des feux en Nouvelle Aquitaine” 6. **L'alternative textuelle :** - a. Type et sujet : Graphique en barres horizontales présentant la distribution des incendies selon leur cause ou origine (variable Nature). - b. Périmètre et volume : Données issues de la BDIFF pour la région Nouvelle-Aquitaine (année 2025), portant sur un total de 484 incendies recensés. - c. Constats et chiffres clés : La cause reste non renseignée pour 269 incendies (soit plus de 55 % des cas). Parmi les 215 feux dont l'origine est identifiée, la cause naturelle est la plus fréquente avec 61 cas. Les origines humaines (cumul de : accidentelle avec 51 cas, travaux involontaires avec 40 cas, malveillance avec 36 cas, et particuliers involontaires avec 27 cas) représentent la grande majorité des départs de feu connus. - d. Conclusion / Emport : Les facteurs humains restent le principal levier d'action pour la prévention des feux, bien qu'une majorité des sinistres conserve une cause indéterminée dans les relevés officiels. ---4e:Ta75,### 4. Absolu ou relatif ? a. BDIFF, impact de incendie. - **Absolu :** surface totale brûlée par commune - **Relatif (Dénominateur retenu) :** rapporterons la surface brûlée à la surface forestière/végétalisée totale de la commune (ex. % de la forêt communale brûlé) ou calculerons un taux de sinistralité par km2. b. DATAHUB, risques et anciens sites industiels. - **Absolu :** nombre brut de sites DATAHUB par commune qui ne reflète ni la densité du risque ni la vulnérabilité des habitants. - **Relatif (Dénominateur retenu) :** Nous rapporterons le nombre de sites à la superficie de la commune (km2) pour obtenir une densité de risque, ou à la population résidente (pour 10 000 habitants) pour évaluer l'exposition des populations. c. BDIFF, analyse des causes. - **Relatif :** Nous exprimons les causes sous forme de proportions / pourcentages du total des incendies documentés (% de feux d'origine humaine vs % d'origine naturelle) plutôt qu'en nombre brut d'événements, pour permettre des comparaisons temporelles ou territoriales claires. ### 5. D'où sort cette donnée, qui manque ? a. Incendies : [BDIFF](https://bdiff.agriculture.gouv.fr/incendies?if%5BidIncendie%5D=&if%5BdateAlerteDeb%5D%5Bdate%5D=01%2F01%2F2025&if%5BdateAlerteDeb%5D%5Btime%5D%5Bhour%5D=0&if%5BdateAlerteDeb%5D%5Btime%5D%5Bminute%5D=0&if%5BdateAlerteFin%5D%5Bdate%5D=31%2F12%2F2025&if%5BdateAlerteFin%5D%5Btime%5D%5Bhour%5D=23&if%5BdateAlerteFin%5D%5Btime%5D%5Bminute%5D=59&if%5BperiodeDeb%5D%5Bjour%5D=&if%5BperiodeDeb%5D%5Bmois%5D=&if%5BperiodeFin%5D%5Bjour%5D=&if%5BperiodeFin%5D%5Bmois%5D=&if%5BperiodeAnnees%5D%5BanneeDeb%5D=&if%5BperiodeAnnees%5D%5BanneeFin%5D=&if%5BheureDeb%5D=&if%5BheureFin%5D=&if%5BsurfaceDeInc%5D=1&if%5BsurfaceDe%5D=&if%5BsurfaceA%5D=&if%5BsurfaceAInc%5D=1&if%5Bzone%5D=&if%5Bra%5D=75&if%5Bdeprts%5D%5Bvalue%5D=&if%5Bcommune%5D=&if%5Bbbox%5D%5Bvalue%5D=&if%5Bsubmit%5D=#tab) - Champs manquants : Certains micro-incendies ou feux très localisés peuvent manquer de précision géographique ou comporter des données temporelles incomplètes. b. Géographique, [DATAHUB](https://datahub.bordeaux-metropole.fr/explore/dataset/ri_casias_p/information/?disjunctive.insee&disjunctive.methode_geoloc) - **Degré de dangerosité :** Le jeu de données répertorie la présence/l'historique des sites, mais n'indique pas directement le niveau d'exposition résiduel ou la dangerosité en temps réel sans croisement avec d'autres sources. - **Biais d'exhaustivité historique :** L'inventaire recense les sites connus/historiques, mais certains très anciens sites artisanaux ou industriels fermés depuis longtemps peuvent être omis. ---4f:T4f1,carte = (donnees, { titre, sousTitre, largeur = 440 } = {}) => { const total = d3.sum(donnees, d => d.surface_ha); const fr = new Intl.NumberFormat("fr-FR", { maximumFractionDigits: 0 }); return html`

${titre}

${sousTitre}

${fr.format(donnees.length)} incendies · ${fr.format(total)} ha parcourus

${Plot.plot({ width: largeur, height: largeur, margin: 0, projection: { type: "conic-conformal", rotate: [-3, -46.5], parallels: [44, 49], domain: departements }, r: echelleR, marks: [ Plot.geo(departements, { fill: "#f3f3f3", stroke: "#ccc", strokeWidth: 0.5 }), Plot.dot(donnees, { x: "lon", y: "lat", r: "surface_ha", sort: { channel: "-r" }, fill: "crimson", fillOpacity: 0.35, stroke: "crimson", strokeWidth: 0.5, tip: true, title: d => `${d.commune} (${d.departement})\n${d.date.toLocaleDateString("fr-FR")}\n${d.surface_ha.toFixed(2)} ha` }) ] })}

`; 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48:{"id":"4681f9dd18218198","slug":"sae-303-gr-12","title":"SAE 303 — Gr 12","thumbnail":"f458a68decff37bafe92e708713a450ea9baf529050bd918ab252acbd0211e0e","access_level":"public","create_time":"$D2026-10-19T08:24:48.242Z","update_time":"$D2026-10-21T14:18:54.984Z","view_time":null,"first_public_time":"$D2026-10-21T11:17:31.290Z","has_unpublished_edits":null,"fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"29853dc62ffa3714","login":"mmi-montbeliard","name":"MMI Montbéliard","avatar_url":"https://avatars-next.observableusercontent.com/9297b8aeeda295f4db64a8d120219d0fff8dee572e0abb90500ea3732512b50b","tier":"education_2026","bio":"","following":false},"version":662,"publish_version":662,"role":null,"authored":false,"authors":[{"type":"individual","id":"9e994ecabe6cd753","login":"xaviersenente","name":"Xavier SENENTE","avatar_url":"https://avatars-next.observableusercontent.com/00724f3264dc62ce6303793b946b15214af84cf98487a4cdaa88dbdfea37786a","tier":null,"bio":"","following":false},{"type":"individual","id":"02ba2c98190896ec","login":"luciegarcia","name":"Lucie Garcia","avatar_url":"https://avatars-next.observableusercontent.com/8daa50ecdf612161091f282a97e330510301e5fd95f380a36851a1c916b0dd66","tier":null,"bio":"","following":false},{"type":"individual","id":"aad2fea316f6ffc6","login":"langenfeld-louise","name":"Langenfeld Louise","avatar_url":"https://avatars-next.observableusercontent.com/104fc6e7324f98750030dace93127a398f14b99317df7591e5f97b83816f6d2d","tier":null,"bio":"","following":false}],"members":[{"type":"individual","id":"aad2fea316f6ffc6","login":"langenfeld-louise","name":"Langenfeld Louise","avatar_url":"https://avatars-next.observableusercontent.com/104fc6e7324f98750030dace93127a398f14b99317df7591e5f97b83816f6d2d","tier":null,"role":"editor"},{"type":"individual","id":"02ba2c98190896ec","login":"luciegarcia","name":"Lucie Garcia","avatar_url":"https://avatars-next.observableusercontent.com/8daa50ecdf612161091f282a97e330510301e5fd95f380a36851a1c916b0dd66","tier":null,"role":"editor"},{"type":"team","id":"29853dc62ffa3714","login":"mmi-montbeliard","name":"MMI Montbéliard","avatar_url":"https://avatars-next.observableusercontent.com/9297b8aeeda295f4db64a8d120219d0fff8dee572e0abb90500ea3732512b50b","tier":"education_2026","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"SAE 303 — Gr 12","cells":[{"id":1,"value":"# SAE 303 — Gr 12","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2,"value":"#### *Lucie GARCIA & Louise LANGENFELD - A2*\n\n---\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3,"value":"# **Sujet B • Prévention des risques à Bordeaux Métropole**\n\n#### Quels sont les facteurs déclencheurs des incendies autour de Bordeaux, comment mesurer l'ampleur de leurs impacts, et sur quels leviers pouvons-nous agir pour prévenir les risques futurs ?","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4,"value":"### **Angle choisi :**\nRisque = aléa x enjeu x vulnérabilité. La structure de votre récit est déjà là : ou est le danger, qui ou quoi est exposé, qui est le plus fragile face à lui.\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5,"value":"### **Public visé :**\nLes personnes qui ont été touchés par les feux (les sinistrés) et ceux qui aurait pu l'être ou qui le seront très probablement.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6,"value":"---\n\n## Introduction\n\nCes dernières années, les catastrophes liées au dérèglement climatique se multiplient à travers le monde. La Gironde et la métropole de Bordeaux n'y échappent pas, gravement marquées par des incendies ravageurs et des crues répétées de la Garonne.\nFace aux dégâts subis et aux bouleversements entraînés dans le quotidien des habitants, une question se pose : quels sont les facteurs déclencheurs des incendies autour de Bordeaux, comment mesurer l'ampleur de leurs impacts, et sur quels leviers pouvons-nous agir pour prévenir les risques futurs ?\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"### Un risque, c’est quoi exactement ?\n\nUn risque c’est la combinaison de plusieurs éléments, un aléa, un enjeux et une vulnérabilité, en effet, si il y a une inondation mais aucune population/infrastructure on ne peut pas parler de risque puisque ça n’affecte personne, il n’y a aucun enjeux.\n\nMalheureusement c’est très loin d'être la situation de bordeaux. C’est une grande ville, avec une grande population, des vulnérabilités et des enjeux tant humains que matériels, car des infrastructures sensibles et critiques s’y trouvent également.\nDe plus, les aléas se font de plus en plus fréquents (incendies, inondations).\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":23,"value":"---\n#### Les donnés","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":12,"value":"incendiesFR = FileAttachment(\"Incendies-france-2025.csv\").csv({ typed: true })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":38,"value":"incendiesNouvelleAquitaine = {\n const texte = await FileAttachment(\"Incendies.csv\").text();\n const lignes = texte.split(/\\r?\\n/).slice(2).join(\"\\n\");\n return d3.dsvFormat(\";\").parse(lignes);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":13,"value":"stuctureRisque = FileAttachment(\"structures_a_risque.json\").json({ typed: true })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":18,"value":"stuctureRisqueGeo = FileAttachment(\"structures_a_risque.geojson\").json({ typed: true })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":25,"value":"situationClimatique = FileAttachment(\"situation_climatique.geojson\").json({ typed: true })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":27,"value":"## Carte des incendies en france en 2025\n\n---","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":28,"value":"incendies_raw = {\n const texte = await FileAttachment(\"Incendies-france-2025.csv\").text();\n const lignes = texte.split(/\\r?\\n/).slice(2).join(\"\\n\");\n return d3.dsvFormat(\";\").parse(lignes);\n}\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":29,"value":"departements = FileAttachment(\"departements.geojson\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":30,"value":"\ncommunes = {\n const r = await fetch(\"https://geo.api.gouv.fr/communes?fields=code,centre&format=json&geometry=centre\");\n const data = await r.json();\n return new Map(\n data\n .filter(d => d.centre)\n .map(d => [d.code, d.centre.coordinates])\n );\n}\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":31,"value":"incendies = incendies_raw\n .map(d => {\n const coords = communes.get(d[\"Code INSEE\"]);\n return {\n commune: d[\"Nom de la commune\"],\n departement: d[\"Département\"],\n date: new Date(d[\"Date de première alerte\"].replace(\" \", \"T\")),\n surface_ha: (+d[\"Surface parcourue (m2)\"] || 0) / 10000,\n lon: coords ? coords[0] : null,\n lat: coords ? coords[1] : null\n };\n })\n .filter(d => d.lon !== null && d.lon > -6 && d.lon < 10 && d.lat > 41 && d.lat < 52)\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":26,"value":"$4c","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":36,"value":"causes_incendies_N = d3.rollups(\n incendiesNouvelleAquitaine,\n v => v.length,\n d => d.Nature || \"Non renseignée\"\n).map(([nature, count]) => ({ nature, count }))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":39,"value":"Plot.plot({\n marginLeft: 160,\n x: { label: \"Nombre d'incendies\" },\n y: { label: null },\n marks: [\n Plot.barX(causes_incendies_N, {\n x: \"count\",\n y: \"nature\",\n fill: \"blue\",\n sort: { y: \"-x\" }\n }),\n Plot.text(causes_incendies_N, {\n x: \"count\",\n y: \"nature\",\n text: d => d.count,\n dx: 15\n }),\n Plot.ruleX([0])\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":67,"value":"$4d","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":58,"value":"$4e","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":72,"value":"## Netoyage des jointures, process\n\nPour ce faire nous nous sommes grandement aidé de l'IA. Les fichiers étant un peu different de ceux que nous avions l'habitude de manipulé, l'IA nous a permis de retrouvé des table plus \"familière\" a partir des fichiers que l'on a pris. Elle s'est également chargé dans le processus de prendre en compte le préambule etc..\n\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":33,"value":"## Les Visualisations\n### Incendies en France en 2025\n##### *feux de forêt centré sur la commune, taille dépend de la surface brulée*\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":32,"value":"\nPlot.plot({\n width: 800,\n height: 800,\n projection: {\n type: \"conic-conformal\",\n rotate: [-3, -46.5],\n parallels: [44, 49],\n domain: departements\n },\n r: { range: [1.5, 22] },\n marks: [\n Plot.geo(departements, { fill: \"#f3f3f3\", stroke: \"#bbb\", strokeWidth: 0.5 }),\n Plot.dot(incendies, {\n x: \"lon\",\n y: \"lat\",\n r: \"surface_ha\",\n fill: \"crimson\",\n fillOpacity: 0.35,\n stroke: \"crimson\",\n strokeWidth: 0.5,\n tip: true,\n title: d => `${d.commune} (${d.departement})\\n${d.date.toLocaleDateString(\"fr-FR\")}\\n${d.surface_ha.toFixed(2)} ha`\n })\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":35,"value":"Source : bdiff.agriculture.gouv.fr","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":40,"value":"---\n\n## Carte Bordeaux","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":49,"value":"### Les communes de bordeaux les plus touchée par les incendies en 2025\n##### *Feux centrés sur les communes, taille dépend de la surface brulée.*","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":41,"value":"\nbordeaux = {\n const g = await FileAttachment(\"fv_commu_s.geojson\").json();\n const inverse = anneau => anneau.slice().reverse();\n return {\n ...g,\n features: g.features.map(f => ({\n ...f,\n geometry: {\n ...f.geometry,\n coordinates: f.geometry.type === \"Polygon\"\n ? f.geometry.coordinates.map(inverse)\n : f.geometry.coordinates.map(poly => poly.map(inverse))\n }\n }))\n };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":42,"value":"centres = new Map(\n bordeaux.features.map(f => [\n f.properties.insee,\n [f.properties.geo_point_2d.lon, f.properties.geo_point_2d.lat]\n ])\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":43,"value":"incendies_bdx = incendies_raw\n .filter(d => centres.has(d[\"Code INSEE\"]))\n .map(d => {\n const [lon, lat] = centres.get(d[\"Code INSEE\"]);\n return {\n commune: d[\"Nom de la commune\"],\n date: new Date(d[\"Date de première alerte\"].replace(\" \", \"T\")),\n surface_ha: (+d[\"Surface parcourue (m2)\"] || 0) / 10000,\n lon,\n lat\n };\n })\n\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":48,"value":"Plot.plot({\n width: 800,\n height: 800,\n projection: {\n type: \"mercator\",\n domain: bordeaux\n },\n r: { range: [4, 30] },\n marks: [\n Plot.geo(bordeaux, {\n fill: \"#f3f3f3\",\n stroke: \"#999\",\n strokeWidth: 0.8\n }),\n Plot.text(bordeaux.features, Plot.centroid({\n text: d => d.properties.nom,\n fontSize: 9,\n fill: \"#666\"\n })),\n Plot.dot(incendies_bdx, {\n x: \"lon\",\n y: \"lat\",\n r: \"surface_ha\",\n fill: \"crimson\",\n fillOpacity: 0.4,\n stroke: \"crimson\",\n tip: true,\n title: d => `${d.commune}\\n${d.date.toLocaleDateString(\"fr-FR\")}\\n${d.surface_ha.toFixed(2)} ha`\n })\n ]\n})\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":50,"value":"Source : bdiff.agriculture.gouv.fr & datahub.bordeaux-metropole.fr","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":68,"value":"\n#### Fiche Carte, valeur rapportée : densité\n1. **La question :** Quelles sont les communes de Bordeaux les plus touchées par les feux ?\n2. **La famille :** Carte de Bordeaux\n3. **L'encodage choisi et pourquoi :** Une map permet de se rendre compte des lieux à risques, pour estimer les zones les plus sensibles et susceptible de reprendre feu.\n4. **Le dénominateur :** Les lieux des feux qui touche Bordeaux\n5. **Le titre et le sous-titre porteur :**\n - Titre :à quel point\n - Sous titre : Bordeaux métropole a été touchée par les incendies en 2025 ?\n6. **L'alternative textuelle. :** Carte des 28 communes de Bordeaux Métropole montrant les 14 incendies de 2025. Chaque incendie est un point rouge dont la taille indique la surface brûlée. Ils sont tous petits : le plus grand, à Blanquefort, couvre 2,8 hectares.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":82,"value":"---\n\n## Test Carte Interactive","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":83,"value":"gironde_brut = {\n const texte = await FileAttachment(\"Incendies-33-2010-2025.csv\").text();\n const lignes = texte.split(/\\r?\\n/);\n const debut = lignes.findIndex(l => l.startsWith(\"Année;\"));\n return d3.dsvFormat(\";\").parse(lignes.slice(debut).join(\"\\n\"));\n}\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":84,"value":"\nfeux_bdx = gironde_brut\n .filter(d => centres.has(d[\"Code INSEE\"]))\n .map(d => {\n const [lon, lat] = centres.get(d[\"Code INSEE\"]);\n const annee = +d[\"Année\"];\n // décalage fixe (même résultat à chaque chargement), d'environ 1 km maximum\n const alea = d3.randomLcg(annee * 100000 + (+d[\"Numéro\"] || 0));\n const angle = alea() * 2 * Math.PI;\n const rayon = 0.010 * Math.sqrt(alea());\n return {\n commune: d[\"Nom de la commune\"],\n annee,\n date: new Date(d[\"Date de première alerte\"].replace(\" \", \"T\")),\n nature: d[\"Nature\"] || \"Non renseignée\",\n surface_ha: (+d[\"Surface parcourue (m2)\"] || 0) / 10000,\n lon0: lon,\n lat0: lat,\n lon: lon + rayon * Math.cos(angle) / 0.71, // 0.71 ≈ cos(latitude de Bordeaux)\n lat: lat + rayon * Math.sin(angle)\n };\n })\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":85,"value":"\nordre_natures = [\n \"Malveillance\",\n \"Accidentelle\",\n \"Involontaire (particulier)\",\n \"Involontaire (travaux)\",\n \"Naturelle\",\n \"Non renseignée\"\n]\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":86,"value":"\ncouleurs_natures = [\"#d62828\", \"#f77f00\", \"#e6a700\", \"#6a4c93\", \"#2a9d8f\", \"#9aa0a6\"]\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":87,"value":"\nviewof annee_choisie = Inputs.select(\n [\"Toutes\", ...d3.range(2010, 2026)],\n { label: \"Année\", value: \"Toutes\" }\n)\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":88,"value":"\nviewof natures_choisies = Inputs.checkbox(ordre_natures, {\n label: \"Origine du feu\",\n value: ordre_natures,\n format: d => html`● ${d}`\n})\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":89,"value":"\nviewof decaler = Inputs.toggle({\n label: \"Décaler légèrement les points pour les distinguer\",\n value: true\n})\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":90,"value":"\nfeux_filtres = feux_bdx.filter(d =>\n (annee_choisie === \"Toutes\" || d.annee === annee_choisie) &&\n natures_choisies.includes(d.nature)\n)\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":91,"value":"\nresume = {\n const fr = new Intl.NumberFormat(\"fr-FR\", { maximumFractionDigits: 1 });\n const n = feux_filtres.length;\n const ha = d3.sum(feux_filtres, d => d.surface_ha);\n return html`

\n ${n} incendie${n > 1 ? \"s\" : \"\"} · ${fr.format(ha)} ha parcourus\n ${annee_choisie === \"Toutes\" ? \"(2010 – 2025)\" : `(${annee_choisie})`}\n

`;\n}\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":92,"value":"\nechelle_bdx = ({ domain: [0, 110], range: [2, 16], clamp: true })\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":93,"value":"\nPlot.plot({\n width: 750,\n height: 750,\n projection: { type: \"mercator\", domain: bordeaux },\n r: echelle_bdx,\n color: { domain: ordre_natures, range: couleurs_natures },\n marks: [\n Plot.geo(bordeaux, { fill: \"#f3f3f3\", stroke: \"#999\", strokeWidth: 0.8 }),\n Plot.text(bordeaux.features, Plot.centroid({\n text: d => d.properties.nom,\n fontSize: 9,\n fill: \"#888\"\n })),\n Plot.dot(feux_filtres, {\n x: d => decaler ? d.lon : d.lon0,\n y: d => decaler ? d.lat : d.lat0,\n r: \"surface_ha\",\n fill: \"nature\",\n stroke: \"nature\",\n fillOpacity: 0.45,\n strokeWidth: 0.8,\n sort: { channel: \"-r\" },\n tip: true,\n title: d => `${d.commune}\\n${d.date.toLocaleDateString(\"fr-FR\")}\\n${d.nature}\\n${d.surface_ha.toFixed(2)} ha`\n })\n ]\n})\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":53,"value":"---\n\n## Carte des incendies en france en 2010","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":54,"value":"incendies_raw_2010 = {\n const texte = await FileAttachment(\"Incendies-france-2010.csv\").text();\n const lignes = texte.split(/\\r?\\n/);\n const debut = lignes.findIndex(l => l.startsWith(\"Année;\"));\n return d3.dsvFormat(\";\").parse(lignes.slice(debut).join(\"\\n\"));\n}\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":55,"value":"incendies_2010 = incendies_raw_2010\n .map(d => {\n const coords = communes.get(d[\"Code INSEE\"]);\n return {\n commune: d[\"Nom de la commune\"],\n departement: d[\"Département\"],\n date: new Date(d[\"Date de première alerte\"].replace(\" \", \"T\")),\n surface_ha: (+d[\"Surface parcourue (m2)\"] || 0) / 10000,\n lon: coords ? coords[0] : null,\n lat: coords ? coords[1] : null\n };\n })\n .filter(d => d.lon !== null && d.lon > -6 && d.lon < 10 && d.lat > 41 && d.lat < 52)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":56,"value":"Plot.plot({\n width: 800,\n height: 800,\n projection: {\n type: \"conic-conformal\",\n rotate: [-3, -46.5],\n parallels: [44, 49],\n domain: departements\n },\n r: { range: [1.5, 22] },\n marks: [\n Plot.geo(departements, { fill: \"#f3f3f3\", stroke: \"#bbb\", strokeWidth: 0.5 }),\n Plot.dot(incendies_2010, {\n x: \"lon\",\n y: \"lat\",\n r: \"surface_ha\",\n fill: \"crimson\",\n fillOpacity: 0.35,\n stroke: \"crimson\",\n strokeWidth: 0.5,\n tip: true,\n title: d => `${d.commune} (${d.departement})\\n${d.date.toLocaleDateString(\"fr-FR\")}\\n${d.surface_ha.toFixed(2)} ha`\n })\n ]\n})\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":71,"value":"#### Fiche Interaction\n1. **La question :** où ? hectar bruler et le nom de la commune/département ?\n2. **La famille :** infobulle\n3. **L'encodage choisi et pourquoi :** l’infobulle permet à l’utilisateur de ce renseigner de manière plus précises sur où le feu c’est passé avec le nom de la commune, sur les degats en hectar.\n4. **Le dénominateur :** Les lieux des incendies et leurs dégats.\n5. **Le titre et le sous-titre porteur :** infobulle incendie\n6. **L'alternative textuelle. :** lieux, taille, date\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":59,"value":"Source : bdiff.agriculture.gouv.fr\n\n---\n\n## Comparaison entre 2025 & 2010","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":60,"value":"\npreparer = async (fichier) => {\n const texte = await fichier.text();\n const lignes = texte.split(/\\r?\\n/);\n const debut = lignes.findIndex(l => l.startsWith(\"Année;\"));\n const brut = d3.dsvFormat(\";\").parse(lignes.slice(debut).join(\"\\n\"));\n\n return brut\n .map(d => {\n const coords = communes.get(d[\"Code INSEE\"]);\n return {\n commune: d[\"Nom de la commune\"],\n departement: d[\"Département\"],\n date: new Date(d[\"Date de première alerte\"].replace(\" \", \"T\")),\n surface_ha: (+d[\"Surface parcourue (m2)\"] || 0) / 10000,\n lon: coords ? coords[0] : null,\n lat: coords ? coords[1] : null\n };\n })\n .filter(d => d.lon !== null && d.lon > -6 && d.lon < 10 && d.lat > 41 && d.lat < 52);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":61,"value":"donnees_2025 = preparer(FileAttachment(\"Incendies-france-2025.csv\"))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":62,"value":"donnees_2010 = preparer(FileAttachment(\"Incendies-france-2010.csv\"))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":63,"value":"echelleR = ({ domain: [0, 11200], range: [1, 8], clamp: true })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":64,"value":"$4f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":65,"value":"legende = {\n const valeurs = [10, 100, 1000, 10000];\n const fr = new Intl.NumberFormat(\"fr-FR\");\n return Plot.plot({\n width: 420,\n height: 90,\n margin: 0,\n marginLeft: 10,\n marginRight: 10,\n x: { axis: null, domain: [-0.5, valeurs.length - 0.5] },\n y: { axis: null, domain: [0, 1] },\n r: echelleR,\n marks: [\n Plot.dot(valeurs, {\n x: (d, i) => i,\n y: 0.65,\n r: d => d,\n fill: \"crimson\",\n fillOpacity: 0.35,\n stroke: \"crimson\"\n }),\n Plot.text(valeurs, {\n x: (d, i) => i,\n y: 0.05,\n text: d => `${fr.format(d)} ha`,\n fontSize: 11\n })\n ]\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":66,"value":"comparaison = html`\n

Surface parcourue par le feu

\n ${legende}\n

\n ${carte(donnees_2010, {\n titre: \"1 · Année 2010\",\n sousTitre: \"Où ont eu lieu les incendies ?\"\n })}\n ${carte(donnees_2025, {\n titre: \"2 · Année 2025\",\n sousTitre: \"Où ont eu lieu les incendies ?\"\n })}\n

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":70,"value":"#### Fiche Comparaison\n1. **La question :** Comment les incendies ont évolué en 15 ans ?\n2. **La famille :** map\n3. **L'encodage choisi et pourquoi :** deux carte cote a cote, avec les points, c’est très visuel, on se rend compte facilement de la différence.\n4. **Le dénominateur :** les lieux des incendies, leurs dégats…\n5. **Le titre et le sous-titre porteur :**\n - Titre : Évolution des incendies en france\n - Sous titre : Sur une période de 15 ans\n6. **L'alternative textuelle. :** Deux cartes de France côte à côte, avec la même échelle de taille, comparent les incendies de 2010 (2 399 incendies, 8 325 hectares) et de 2025 (2 512 incendies, 21 737 hectares). Le nombre d’incendies est proche, mais la surface brûlée est 2,6 fois plus grande en 2025, et les incendies y sont répartis sur une zone bien plus large du territoire.\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":79,"value":"---\n## Visualisation prête pour le site","pinned":true,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":80,"value":"function visuSite(data) {\n return Plot.plot({\n title: \"Répartition des incendies selon leur origine\",\n marginLeft: 160,\n x: { label: \"Nombre d'incendies\" },\n marks: [\n Plot.barX(data, {\n x: \"count\",\n y: \"nature\",\n fill: \"blue\"\n })\n ]\n });\n}","pinned":true,"hidden":false,"mode":"ts","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":81,"value":"visuSite(causes_incendies_N.slice(0, 3))","pinned":true,"hidden":false,"mode":"ts","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":8,"value":"## Synthèse :\nPour cette SAE, nous nous sommes concentrés sur les incendies à Bordeaux, leurs impacts, pourquoi sont-ils de plus en plus violents ? Nous avons réalisé plusieurs graphiques/cartes qui avaient pour but de sensibiliser, de faire prendre conscience que les choses ne cont pas en s'améliorant et qu'il faut agir.\nNous avons aussi couvert la France, plus que Bordeaux pour montrer que tout le monde est concerné car concrètement si on peut pouvoir changer quelque chose il faut que tout le monde agisse.\n\nPour les graphiques on a beaucoup fait de cartes, car c'est le plus visuel, c'est à nos yeux le type de graphique que l'on a le plus tendance à prendre le temps de regarder. Bien évidemment certaines données sont aussi intéressantes à voir sous forme d'histogramme/bar/autres, sur le site nous ont montré la différence d'hectar brûlé avec cela, comme la différence est énorme ça impacte tout autant.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":9,"value":"## Journal IA\n\n1. Quels prompts et quel outil :\n - Claude.IA, Gemini.\n - Des prompts pour faire en sorte que les fichiers de jeux de données soient exploitables. Et de quoi comprendre certaines consignes et de la reformulation de questions.\n - Aide pour réalisé les graphiques\n3. Ce que ça nous a apporté : De la méthodologie, du temps et des codes des fonctionnalités que nous aurions eu du mal à faire autrement.\n4. Ce que nous avons dû corriger : Certaines réponses ou exemple pour les méthodos donner pour les 5 questions, notamment. Le visuel des graphiques souvent erroné (tailles excessives, Points pas forcément très visibles..)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W50","stdlib":"2"}} 24:null