| { | |
| "env": { | |
| "node": true, | |
| "es2021": true | |
| }, | |
| "extends": "eslint:recommended", | |
| "parserOptions": { | |
| "ecmaVersion": "latest", | |
| "sourceType": "module" | |
| }, |
| node_modules/ |
| declare -a depts=(01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 21 22 23 24 25 26 27 28 29 2A 2B 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 971 972 973 974 976) | |
| true >| stats_api_pro_bio.txt | |
| for i in "${depts[@]}" | |
| do | |
| url="https://back.agencebio.org/api/gouv/operateurs/?departements=$i"; | |
| tot=$(curl -X 'GET' "$url" -H 'accept: application/json' | jq -r '.nbTotal'); | |
| echo "${i};${tot}" >> stats_api_pro_bio.txt; | |
| done |
Source: fichier "Base des accidents corporels géocodée" sur la page https://www.data.gouv.fr/fr/datasets/bases-de-donnees-annuelles-des-accidents-corporels-de-la-circulation-routiere-annees-de-2005-a-2020/
Commande utilisée
ogr2ogr -f CSV accidents-motos-2005-2006.csv accidents.csv -dialect SQLite -sql "SELECT * FROM accidents WHERE \"ANNEE\" IN (2005, 2006) AND \"has_deuxrouesmotorises\" = 'true'"
| <head> | |
| <!-- Load plotly.js into the DOM --> | |
| <script src='https://cdn.plot.ly/plotly-2.9.0.min.js'></script> | |
| <script src='https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js'></script> | |
| <link rel="stylesheet" href="style.css"> | |
| </head> | |
| <body> | |
| <div id='myDiv'><!-- Plotly chart will be drawn inside this DIV --></div> | |
| <script src="script.js"></script> |
| id;longitude;latitude;famille_arbre;genre_arbre;espece_arbre;cultivar_variete_arbre;nom_vernaculaire;code_insee;code_postal;adresse;matricule_arbre;date_plantation;hauteur;diametre;type_sol;type_enracinement;port_arbre;arbre_remarquable;arbre_protege;contraintes_sol;contrainte_aeriennes;eclairage;arrosage;allergie;remarque | |
| 1;49.802;0.3768;Sapindaceae;Acer;campestre;;Erable champetre;13028;13600;320 Avenue Joseph Roumanille;259001;2018-05-12;100;58;Argilo-sableux;Oblique;Boule;Non;Non;Sol perméabilisé;Cables éléctriques;Oui;Goutte à goutte;3; | |
| 2;43.2959;5.3761;Rosaceae;Pyrus;calleryana;chanticleerc;"Poirier ""chanticleerc""";13055;13001;60 rue sainte;1998PyrCal130011150;1998-04-20;235;73;Argileux;Pivotant;;Non;Non;Grille abimée;proximité d'un mur;Non;;;tronc abimé lors de travaux | |
| 3;43.2915;5.4805;Platanaceae;Platanus;occidentalis;;Platane d'Amérique;13055;13002;72 Boulevard des Dames;;1990-03-01;;;;;;Non;Non;;;Oui;;2;dans un alignement | |
| 4;44.2920;5.3705;Pinaceae;Pinus;sylvestris;;Pin sylvestre;13055;13013;48 ru |
| wget "https://macarte.ign.fr/carte/322ea69dab4c7e5afabc6ec7043b5994/acquisitionslidarhd" | |
| cat acquisitionslidarhd | grep " symfony.data = "| sed 's# symfony.data = ##g' >| out.json | |
| jq -c '.layers[2].features[] | {"type": "Feature", "geometry": {"type": .type, "coordinates": .coords}, "properties": .attributes}' out.json | jq --slurp '{"type": "FeatureCollection", "features": .}' >| out.geojson | |
| ogr2ogr -f GeoJSON -s_srs "EPSG:3857" -t_srs "EPSG:4326" lidar_hd_overall.geojson out.geojson -lco RFC7946=YES |
# MultiPolygon output
ogr2ogr -f GeoJSON /tmp/mairies_multipolygons.geojson "/vsicurl/https://labs.webgeodatavore.com/partage/bdtopo.gpkg" \
-lco RFC7946=YES \
-sql "SELECT code_insee, nom_officiel, liens_vers_autorite_administrative, zone_d_activite_ou_d_interet.* FROM commune LEFT JOIN zone_d_activite_ou_d_interet ON liens_vers_autorite_administrative = zone_d_activite_ou_d_interet.cleabs"
# Point output
ogr2ogr -f GeoJSON /tmp/mairies_points.geojson "/vsicurl/https://labs.webgeodatavore.com/partage/bdtopo.gpkg" \