﻿{"id":12844,"date":"2024-04-16T10:00:00","date_gmt":"2024-04-16T08:00:00","guid":{"rendered":"https:\/\/www.sigterritoires.fr\/?p=12844"},"modified":"2024-04-16T09:14:32","modified_gmt":"2024-04-16T07:14:32","slug":"herramientas-para-proyectos-de-mapas-marinos-enc-en-qgis","status":"publish","type":"post","link":"https:\/\/www.sigterritoires.fr\/index.php\/es\/herramientas-para-proyectos-de-mapas-marinos-enc-en-qgis\/","title":{"rendered":"Herramientas para proyectos de mapas marinos ENC en QGis"},"content":{"rendered":"\n<p>Este art\u00edculo completa la serie de art\u00edculos sobre la creaci\u00f3n de una base de datos <a href=\"https:\/\/www.sigterritoires.fr\/index.php\/es\/el-formato-geopackage-y-qgis-3-un-formato-abierto-de-informacion-geoespacial\/\">geopackage<\/a> para gestionar las cartas n\u00e1uticas ENC en QGis y la simbolog\u00eda de las distintas capas de datos. Trabajar con un n\u00famero reducido de mapas no presenta especiales problemas, pero en cuanto el n\u00famero aumenta se producen una serie de operaciones que se complican o consumen mucho tiempo.<br>Hemos desarrollado una serie de scripts en Python que simplifican el trabajo con grandes bases de datos de geopaquetes.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">1- Carga de capas<\/h1>\n\n\n\n<p>El primer problema es el gran n\u00famero de capas que hay que cargar en el proyecto QGis. Mientras que un mapa puede tener unas veinte capas, en cuanto el n\u00famero de mapas aumenta puedes encontrarte r\u00e1pidamente con m\u00e1s de cien capas que cargar.<\/p>\n\n\n\n<p>QGis permite cargar todas las capas de un geopackage en bloque. As\u00ed no tienes que cargar el centenar de capas una a una. Pero una vez cargadas, hay dos tareas que realizar:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>eliminar capas irrelevantes, como las capas de metadatos<\/li>\n\n\n\n<li>ordenar la visualizaci\u00f3n de las capas para evitar que ciertas capas sean completamente invisibles por estar superpuestas a otras capas. Las capas superficiales como DEPARE y LNDARE (profundidades y terreno) deben estar siempre por debajo de los objetos marinos y terrestres, de lo contrario estos objetos no ser\u00e1n visibles.<\/li>\n<\/ul>\n\n\n\n<p>Adem\u00e1s, siempre es m\u00e1s agradable trabajar con escalas de visualizaci\u00f3n m\u00ednimas, de forma que s\u00f3lo se muestren determinadas capas al ampliar a escalas muy peque\u00f1as y la informaci\u00f3n detallada s\u00f3lo se muestre al ampliar a una escala mayor.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Selecci\u00f3n de capas a cargar<\/h2>\n\n\n\n<p>Hemos proporcionado un script en python que resuelve todos estos problemas por s\u00ed solo. Puede descargarlo desde este enlace.<\/p>\n\n\n\n<p>El script incluye una lista de 210 capas S57, ordenadas para su correcta visualizaci\u00f3n:<\/p>\n\n\n\n<p>Capas de superficie representadas por pol\u00edgonos s\u00f3lidos, luego capas de superficie representadas por pol\u00edgonos vac\u00edos (s\u00f3lo se muestran los per\u00edmetros), luego capas de tipo lineal y finalmente capas de tipo puntual. Dentro de cada categor\u00eda, el orden se ha dise\u00f1ado para evitar enmascarar la informaci\u00f3n.<\/p>\n\n\n\n<p>Cada capa va acompa\u00f1ada de un valor m\u00ednimo de escala de visualizaci\u00f3n, siendo el valor por defecto 100000000.<\/p>\n\n\n\n<p>He aqu\u00ed un ejemplo:<\/p>\n\n\n\n<p><em><strong>#Liste des couches dans l&rsquo;ordre de chargement<br>couches_a_charger = [<br>(&lsquo;pl_DEPARE&rsquo;, 100000000),<br>(&lsquo;pl_UNSARE&rsquo;, 100000000),<br>(&lsquo;pl_TIDEWY&rsquo;, 100000000),<br>(&lsquo;pl_DAMCON&rsquo;, 100000000),<br>(&lsquo;pl_CAUSWY&rsquo;, 100000000),<br>(&lsquo;pl_HULKES&rsquo;, 100000000),<br>(&lsquo;pl_LOKBSN&rsquo;, 100000000),<br>(&lsquo;pl_OBSTRN&rsquo;, 100000000),<br>(&lsquo;pl_PONTON&rsquo;, 100000000),<br>(&lsquo;pl_PYLONS&rsquo;, 100000000),<\/strong><\/em><\/p>\n\n\n\n<p>Si no quieres que el script cargue capas que no te interesan, puedes simplemente comentar la l\u00ednea correspondiente a\u00f1adiendo un &lsquo;#&rsquo; al principio de la l\u00ednea:<\/p>\n\n\n\n<p><em><strong>#Liste des couches dans l&rsquo;ordre de chargement<br>couches_a_charger = [<br>(&lsquo;pl_DEPARE&rsquo;, 100000000),<br>(&lsquo;pl_UNSARE&rsquo;, 100000000),<br>#(&lsquo;pl_TIDEWY&rsquo;, 100000000),<br>#(&lsquo;pl_DAMCON&rsquo;, 100000000),<\/strong><\/em><\/p>\n\n\n\n<p>En este ejemplo, las capas TIDEWY y DAMCON no se cargar\u00e1n.<\/p>\n\n\n\n<p>Adem\u00e1s, si desea definir una escala de visualizaci\u00f3n m\u00ednima para una capa, basta con cambiar el valor correspondiente:<\/p>\n\n\n\n<p><em><strong>&lsquo;pl_DEPARE&rsquo;, 100000000),<br>(&lsquo;pl_UNSARE&rsquo;, 100000000),<br>(&lsquo;pl_TIDEWY&rsquo;, 100000),<br>#(&lsquo;pl_DAMCON&rsquo;, 100000000),<br>#(&lsquo;pl_CAUSWY&rsquo;, 100000000),<br>(&lsquo;pl_HULKES&rsquo;, 100000000),<br>(&lsquo;pl_LOKBSN&rsquo;, 100000000),<br>(&lsquo;pl_OBSTRN&rsquo;, 50000),<\/strong><\/em><\/p>\n\n\n\n<p>En este ejemplo, la capa TIDEWY s\u00f3lo se mostrar\u00e1 cuando el valor del zoom de la ventana del mapa sea inferior a 100000 y la capa OBSTRN cuando el valor sea inferior a 50000.<\/p>\n\n\n\n<p>Para utilizar el script<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www<.nasca.ovh\/downloads\/load_layers_gpkg.py\" title=\"descargue el archivo .py\">descargue el archivo .py<\/a><\/li>\n\n\n\n<li>gu\u00e1rdelo en un directorio de su elecci\u00f3n<\/li>\n\n\n\n<li>Abra la consola Python de QGis (Extensiones -&gt;Consola Python)<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/04\/aert8-1.png?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"230\" data-attachment-id=\"12812\" data-permalink=\"https:\/\/www.sigterritoires.fr\/index.php\/outils-python-pour-la-gestion-des-couches-qgis\/aert8-1\/\" data-orig-file=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/04\/aert8-1.png?fit=1885%2C677&amp;ssl=1\" data-orig-size=\"1885,677\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"aert8-1\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/04\/aert8-1.png?fit=640%2C230&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/04\/aert8-1.png?resize=640%2C230&#038;ssl=1\" alt=\"\" class=\"wp-image-12812\" srcset=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/04\/aert8-1.png?resize=1024%2C368&amp;ssl=1 1024w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/04\/aert8-1.png?resize=300%2C108&amp;ssl=1 300w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/04\/aert8-1.png?resize=768%2C276&amp;ssl=1 768w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/04\/aert8-1.png?resize=1536%2C552&amp;ssl=1 1536w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/04\/aert8-1.png?w=1885&amp;ssl=1 1885w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/04\/aert8-1.png?w=1280&amp;ssl=1 1280w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Abra la ventana Editor (1)<\/li>\n\n\n\n<li>Haga clic en el icono Examinar (2) y apunte al archivo .py descargado<\/li>\n\n\n\n<li>Cambie la ruta del geopackage por la ruta y el nombre de su geopackage (3)<\/li>\n\n\n\n<li>Ejecute el script (4)<\/li>\n<\/ul>\n\n\n\n<p>Antes de ejecutarlo, puedes hacer cambios para evitar que se carguen las capas o para asignarles una escala m\u00ednima diferente. No olvides guardar estos cambios antes de cerrar el proyecto.<\/p>\n\n\n\n<p>El c\u00f3digo del script es el siguiente:<\/p>\n\n\n\n<div class='stb-container stb-style-download stb-caption-box'><div class='stb-caption'><div class='stb-logo'><img class='stb-logo__image' src='data:image\/png;base64,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' alt='img'\/><\/div><div class='stb-caption-content'>load_layers.py<\/div><div class='stb-tool'><\/div><\/div><div class='stb-content'><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from qgis.core import QgsProject\n\n# Chemin vers le geopackage\nchemin_geopackage = 'c:\/testgpkgV3\/ENC2.gpkg'\n\n## Liste des couches dans l'ordre de chargement\ncouches_a_charger = &#091;\n    ('pl_DEPARE', 100000000),\n    ('pl_UNSARE', 100000000),\n    ('pl_TIDEWY', 100000000),\n    ('pl_DAMCON', 100000000),\n    ('pl_CAUSWY', 100000000),\n    ('pl_HULKES', 100000000),\n    ('pl_LOKBSN', 100000000),\n    ('pl_OBSTRN', 100000000),\n    ('pl_PONTON', 100000000),\n    ('pl_PYLONS', 100000000),\n    ('pl_SBDARE', 100000000),\n    ('pl_DRGARE', 100000000),\n    ('pl_TSEZNE', 100000000),\n    ('pl_WRECKS', 100000000),\n    ('pl_FLODOC', 100000000),\n    ('pl_LNDARE', 100000000),\n    ('pl_CANALS', 100000000),\n    ('pl_LAKARE', 100000000),\n    ('pl_RIVERS', 100000000),\n    ('pl_BUAARE', 100000000),\n    ('pl_BUISLG', 100000000),\n    ('pl_CHKPNT', 100000000),\n    ('pl_CONVYR', 100000000),\n    ('pl_DOCARE', 100000000),\n    ('pl_ROADWY', 100000000),\n    ('pl_RUNWAY', 100000000),\n    ('pl_DRYDOC', 100000000),\n    ('pl_DYKCON', 100000000),\n    ('pl_FORSTC', 100000000),\n    ('pl_GATCON', 100000000),\n    ('pl_LNDMRK', 100000000),\n    ('pl_SLCONS', 100000000),\n    ('pl_BRIDGE', 100000000),\n    ('pl_WEDKLP', 100000000),\n    ('pl_WATTUR', 100000000),\n    ('pl_VEGATN', 100000000),\n    ('pl_TWRTPT', 100000000),\n    ('pl_TUNNEL', 100000000),\n    ('pl_TSSLPT', 100000000),\n    ('pl_TESARE', 100000000),\n    ('pl_SWPARE', 100000000),\n    ('pl_SPLARE', 100000000),\n    ('pl_SNDWAV', 100000000),\n    ('pl_SMCFAC', 100000000),\n    ('pl_SLOGRD', 100000000),\n    ('pl_SILTNK', 100000000),\n    ('pl_SEAARE', 100000000),\n    ('pl_RESARE', 100000000),\n    ('pl_RCTLPT', 100000000),\n    ('pl_PRDARE', 100000000),\n    ('pl_PRCARE', 100000000),\n    ('pl_PIPARE', 100000000),\n    ('pl_PILBOP', 100000000),\n    ('pl_OSPARE', 100000000),\n    ('pl_OFSPLF', 100000000),\n    ('pl_MORFAC', 100000000),\n    ('pl_MIPARE', 100000000),\n    ('pl_MARCUL', 100000000),\n    ('pl_LOGPON', 100000000),\n    ('pl_LNDRGN', 100000000),\n    ('pl_ISTZNE', 100000000),\n    ('pl_ICEARE', 100000000),\n    ('pl_HRBFAC', 100000000),\n    ('pl_HRBARE', 100000000),\n    ('pl_GRIDRN', 100000000),\n    ('pl_FSHZNE', 100000000),\n    ('pl_FSHGRD', 100000000),\n    ('pl_FSHFAC', 100000000),\n    ('pl_FRPARE', 100000000),\n    ('pl_FERYRT', 100000000),\n    ('pl_FAIRWY', 100000000),\n    ('pl_EXEZNE', 100000000),\n    ('pl_DWRTPT', 100000000),\n    ('pl_DMPGRD', 100000000),\n    ('pl_CTSARE', 100000000),\n    ('pl_CTNARE', 100000000),\n    ('pl_CBLARE', 100000000),\n    ('pl_BERTHS', 100000000),\n    ('pl_AIRARE', 100000000),\n    ('pl_ADMARE', 100000000),\n    ('pl_ACHBRT', 100000000),\n    ('pl_ACHARE', 100000000),\n    ('pl_CRANES', 100000000),\n\t('li_RAPIDS', 100000000),\n\t('li_MARCUL', 100000000),\n\t('li_FLODOC', 100000000),\n\t('li_LNDMRK', 100000000),\n\t('li_FERYRT', 100000000),\n\t('li_CBLSUB', 100000000),\n\t('li_COALNE', 100000000),\n\t('li_DEPARE', 100000000),\n\t('li_DEPCNT', 100000000),\n\t('li_LNDARE', 100000000),\n\t('li_RIVERS', 100000000),\n\t('li_SLCONS', 100000000),\n\t('li_PIPOHD', 100000000),\n\t('li_MAGVAR', 100000000),\n\t('li_RECTRC', 100000000),\n\t('li_PIPSOL', 100000000),\n\t('li_BRIDGE', 100000000),\n\t('li_CONVYR', 100000000),\n\t('li_SBDARE', 100000000),\n\t('li_LNDELV', 100000000),\n\t('li_SLOTOP', 100000000),\n\t('li_DAMCON', 100000000),\n\t('li_OBSTRN', 100000000),\n\t('li_RADLNE', 100000000),\n\t('li_RAILWY', 100000000),\n\t('li_ROADWY', 100000000),\n\t('li_CAUSWY', 100000000),\n\t('li_WATFAL', 100000000),\n\t('li_CBLOHD', 100000000),\n\t('li_TSSBND', 100000000),\n\t('li_WATTUR', 100000000),\n\t('li_MORFAC', 100000000),\n\t('li_GATCON', 100000000),\n\t('li_TSELNE', 100000000),\n\t('li_DYKCON', 100000000),\n\t('li_VEGATN', 100000000),\n\t('li_RUNWAY', 100000000),\n\t('li_FNCLNE', 100000000),\n\t('li_RDOCAL', 100000000),\n\t('li_STSLNE', 100000000),\n\t('li_NAVLNE', 100000000),\n\t('li_OILBAR', 100000000),\n\t('li_CANALS', 100000000),\n\t('li_FORSTC', 100000000),\n\t('li_DWRTCL', 100000000),\n\t('li_TIDEWY', 100000000),\n\t('li_TUNNEL', 100000000),\n\t('li_BERTHS', 100000000),\n\t('li_RCRTCL', 100000000),\n\t('li_FSHFAC', 100000000),\n\t('li_PONTON', 100000000),\n\t('pt_ROADWY', 100000000),\n\t('pt_BUAARE', 100000000),\n\t('pt_DMPGRD', 100000000),\n\t('pt_BOYCAR', 100000000),\n\t('pt_BOYSAW', 100000000),\n\t('pt_ACHARE', 100000000),\n\t('pt_BOYINB', 100000000),\n\t('pt_PILBOP', 100000000),\n\t('pt_OFSPLF', 100000000),\n\t('pt_BOYSPP', 100000000),\n\t('pt_FOGSIG', 100000000),\n\t('pt_LNDARE', 100000000),\n\t('pt_LNDELV', 100000000),\n\t('pt_SPLARE', 100000000),\n\t('pt_LNDRGN', 100000000),\n\t('pt_LIGHTS', 100000000),\n\t('pt_SILTNK', 100000000),\n\t('pt_WATTUR', 100000000),\n\t('pt_ICNARE', 100000000),\n\t('pt_MIPARE', 100000000),\n\t('pt_TS_TIS', 100000000),\n\t('pt_OBSTRN', 100000000),\n\t('pt_PILPNT', 100000000),\n\t('pt_RTPBCN', 100000000),\n\t('pt_SBDARE', 100000000),\n\t('pt_RETRFL', 100000000),\n\t('pt_SOUNDG', 100000000),\n\t('pt_TOPMAR', 100000000),\n\t('pt_HULKES', 100000000),\n\t('pt_LOGPON', 100000000),\n\t('pt_WEDKLP', 100000000),\n\t('pt_WRECKS', 100000000),\n\t('pt_NEWOBJ', 100000000),\n\t('pt_UWTROC', 100000000),\n\t('pt_AIRARE', 100000000),\n\t('pt_CURENT', 100000000),\n\t('pt_LNDMRK', 100000000),\n\t('pt_LOCMAG', 100000000),\n\t('pt_SEAARE', 100000000),\n\t('pt_LITFLT', 100000000),\n\t('pt_BOYISD', 100000000),\n\t('pt_CTNARE', 100000000),\n\t('pt_FSHFAC', 100000000),\n\t('pt_HRBFAC', 100000000),\n\t('pt_MORFAC', 100000000),\n\t('pt_VEGATN', 100000000),\n\t('pt_PIPSOL', 100000000),\n\t('pt_GATCON', 100000000),\n\t('pt_SMCFAC', 100000000),\n\t('pt_BUISGL', 100000000),\n\t('pt_BCNLAT', 100000000),\n\t('pt_BCNSPP', 100000000),\n\t('pt_CTRPNT', 100000000),\n\t('pt_FORSTC', 100000000),\n\t('pt_RDOSTA', 100000000),\n\t('pt_DAMCON', 100000000),\n\t('pt_LITVES', 100000000),\n\t('pt_BCNCAR', 100000000),\n\t('pt_RUNWAY', 100000000),\n\t('pt_PYLONS', 100000000),\n\t('pt_CGUSTA', 100000000),\n\t('pt_RCTLPT', 100000000),\n\t('pt_TS_FEB', 100000000),\n\t('pt_BRIDGE', 100000000),\n\t('pt_SPRING', 100000000),\n\t('pt_ACHBRT', 100000000),\n\t('pt_RDOCAL', 100000000),\n\t('pt_BOYLAT', 100000000),\n\t('pt_TS_PAD', 100000000),\n\t('pt_TS_PRH', 100000000),\n\t('pt_DISMAR', 100000000),\n\t('pt_SLOGRD', 100000000),\n\t('pt_SNDWAV', 100000000),\n\t('pt_PRDARE', 100000000),\n\t('pt_SISTAW', 100000000),\n\t('pt_RADSTA', 100000000),\n\t('pt_CRANES', 100000000),\n\t('pt_MARCUL', 100000000),\n\t('pt_BERTHS', 100000000),\n\t('pt_RSCSTA', 100000000),\n\t('pt_BCNSAW', 100000000),\n\t('pt_SISTAT', 100000000),\n\t('pt_SLCONS', 100000000),\n\t('pt_BCNISD', 100000000),\n\t('pt_DAYMAR', 100000000),\n\t('pt_WATFAL', 100000000)\n\n    # Ajoutez d'autres noms de couche avec leur \u00e9chelle minimale dans le m\u00eame format\n]\n\n# R\u00e9cup\u00e9rer le projet en cours\nprojet = QgsProject.instance()\n\n# Charger chaque couche dans l'ordre sp\u00e9cifi\u00e9\nfor nom_couche, echelle_min in couches_a_charger:\n    # Construire le chemin complet de la couche\n    chemin_couche = '{}|layername={}'.format(chemin_geopackage, nom_couche)\n    # Charger la couche\n    couche = QgsVectorLayer(chemin_couche, nom_couche, 'ogr')\n    # V\u00e9rifier si la couche est valide\n    if couche.isValid():\n        # Ajouter la couche au projet\n        projet.addMapLayer(couche)\n        # D\u00e9finir l'\u00e9chelle minimale pour la couche\n        couche.setScaleBasedVisibility(True)\n        couche.setMinimumScale(echelle_min)\n        print(f\"L'\u00e9chelle d'affichage de la couche {nom_couche} a \u00e9t\u00e9 d\u00e9finie sur {echelle_min}.\")\n    else:\n        print(\"Impossible de charger la couche :\", nom_couche)\n\nprint(\"Chargement des couches termin\u00e9.\")\n<\/code><\/pre>\n\n\n\n<p><\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Gesti\u00f3n de la escala de visualizaci\u00f3n<\/h2>\n\n\n\n<p>El script anterior se utiliza para definir una escala m\u00ednima cuando las capas se cargan por primera vez en el proyecto. Al guardar el proyecto, se guarda el valor del campo Escala_m\u00ednima de la capa. Cuando se abre el proyecto, se tiene en cuenta la configuraci\u00f3n de visualizaci\u00f3n en el momento de cerrar el proyecto. Por lo tanto, s\u00f3lo se utilizar\u00e1 el gui\u00f3n anterior al empezar a trabajar en un proyecto. Sin embargo, las escalas definidas en el script load_layers pueden no ser adecuadas para su \u00e1rea de trabajo. Por lo tanto, es posible que tenga que modificar los valores m\u00ednimos de escala para determinadas capas.<\/p>\n\n\n\n<p>Le proporcionamos un script Python que le permite definir la escala m\u00ednima de visualizaci\u00f3n para todas las capas seleccionadas en el panel <strong>Capas<\/strong>. Una vez guardado el proyecto, estos ajustes se utilizar\u00e1n cada vez que se abra el proyecto.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?ssl=1\"><img loading=\"lazy\" decoding=\"async\" width=\"3711\" height=\"1747\" data-attachment-id=\"12563\" data-permalink=\"https:\/\/www.sigterritoires.fr\/index.php\/creation-dune-base-de-donnees-geopackage-pour-les-cartes-enc-2eme-partie-ajouter-la-symbologie\/chargergpkg4\/\" data-orig-file=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?fit=3711%2C1747&amp;ssl=1\" data-orig-size=\"3711,1747\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"chargergpkg4\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?fit=640%2C301&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?resize=640%2C301&amp;ssl=1\" alt=\"\" class=\"wp-image-12563\" srcset=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?w=3711&amp;ssl=1 3711w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?resize=300%2C141&amp;ssl=1 300w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?resize=1024%2C482&amp;ssl=1 1024w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?resize=768%2C362&amp;ssl=1 768w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?resize=1536%2C723&amp;ssl=1 1536w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?resize=2048%2C964&amp;ssl=1 2048w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?w=1280&amp;ssl=1 1280w, https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/03\/chargergpkg4.png?w=1920&amp;ssl=1 1920w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/figure>\n\n\n\n<p>Para usarlo, primero c\u00e1rgalo en la consola Python de QGis, selecciona (resalta) las capas que quieras modificar en el panel Capas y, lo m\u00e1s importante, cambia la l\u00ednea<\/p>\n\n\n\n<p>#Define la escala m\u00ednima (por ejemplo, 1:50000)<\/p>\n\n\n\n<p>min_escala = <em><strong>250000<\/strong><\/em><\/p>\n\n\n\n<p>con el valor deseado para la escala m\u00ednima de visualizaci\u00f3n.<\/p>\n\n\n\n<p>El script de Python para definir la escala m\u00ednima de visualizaci\u00f3n de las capas seleccionadas es el siguiente:<\/p>\n\n\n\n<div class='stb-container stb-style-download stb-caption-box'><div class='stb-caption'><div class='stb-logo'><img class='stb-logo__image' src='data:image\/png;base64,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' alt='img'\/><\/div><div class='stb-caption-content'>setminscale.py<\/div><div class='stb-tool'><\/div><\/div><div class='stb-content'><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># R\u00e9cup\u00e9rer la vue des couches\nlayer_tree_view = iface.layerTreeView()\n\n# R\u00e9cup\u00e9rer les couches s\u00e9lectionn\u00e9es\nselected_layers = layer_tree_view.selectedLayers()\n\n# D\u00e9finir l'\u00e9chelle minimale pour chaque couche s\u00e9lectionn\u00e9e\nfor layer in selected_layers:\n    # D\u00e9finir l'\u00e9chelle minimale (par exemple, 1:50000)\n    min_scale = 250000\n    \n    # D\u00e9finir l'\u00e9chelle minimale d'affichage pour la couche\n    layer.setScaleBasedVisibility(True)\n    layer.setMinimumScale(min_scale)\n    print(f\"L'\u00e9chelle d'affichage de la couche {layer.name()} a \u00e9t\u00e9 d\u00e9finie sur {min_scale}.\")\n\n\n<\/code><\/pre>\n\n\n\n<p><\/div><\/div>\n\n\n\n<p><a href=\"https:\/\/www.nasca.ovh\/downloads\/setminscale.py\">Puede descargarlo aqu\u00ed.<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Un script de Python para filtrar capas por \u00ab\u00a0prop\u00f3sito\u00a0\u00bb<\/h2>\n\n\n\n<p>Las tablas de su geopackage incluyen un atributo llamado \u00ab\u00a0prop\u00f3sito\u00a0\u00bb, que es un valor entre 1 y 6 y corresponde al prop\u00f3sito principal del mapa:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>1: Visi\u00f3n general<\/li>\n\n\n\n<li>2: General<\/li>\n\n\n\n<li>3: Litoral<\/li>\n\n\n\n<li>4: Aproximaci\u00f3n<\/li>\n\n\n\n<li>5: Puerto<\/li>\n\n\n\n<li>6: Atraque<\/li>\n<\/ul>\n\n\n\n<p>Si tiene mapas con prop\u00f3sitos diferentes cubriendo la misma \u00e1rea, por ejemplo un mapa de tipo <em><strong>General <\/strong><\/em>y un mapa de tipo <em><strong>Aproximaci\u00f3n<\/strong><\/em>, tendr\u00e1 informaci\u00f3n duplicada. Si las entidades de dos mapas no son del mismo tipo (una entidad de superficie en un mapa de <em><strong>Aproximaci\u00f3n <\/strong><\/em>corresponder\u00e1 a una entidad de punto en el mapa <em><strong>General<\/strong><\/em>, por ejemplo), la representaci\u00f3n puede volverse r\u00e1pidamente muy desordenada. La soluci\u00f3n propuesta es sencilla<\/p>\n\n\n\n<div class='stb-container stb-style-download stb-caption-box'><div class='stb-caption'><div class='stb-logo'><img class='stb-logo__image' src='data:image\/png;base64,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' alt='img'\/><\/div><div class='stb-caption-content'>filter_purpose.py<\/div><div class='stb-tool'><\/div><\/div><div class='stb-content'>\n\n\n\n<p># Importer le module QGIS<br>from qgis.core import QgsProject, QgsMapLayerType<br><br># D\u00e9finir le valeur de l&rsquo;attribut \u00ab\u00a0purpose\u00a0\u00bb \u00e0 filtrer<br>valeur_purpose = 3<br><br># Obtenir le projet actif<br>projet = QgsProject.instance()<br><br># Obtenir la liste des couches charg\u00e9es dans le projet<br>couches = projet.mapLayers().values()<br><br># Parcourir toutes les couches<br>for couche in couches:<br>    # V\u00e9rifier si la couche est de type vecteur<br>    if couche.type() == QgsMapLayerType.VectorLayer:<br>        # V\u00e9rifier si la couche a un champ nomm\u00e9 \u00ab\u00a0purpose\u00a0\u00bb<br>        if couche.fields().indexFromName(&lsquo;purpose&rsquo;) != -1:<br>            # V\u00e9rifier si le nom de la couche commence par l&rsquo;un des pr\u00e9fixes sp\u00e9cifi\u00e9s<br>            if couche.name().startswith((&lsquo;pt_&rsquo;, &lsquo;li_&rsquo;, &lsquo;pl_&rsquo;)):<br>                # D\u00e9finir le filtre sur l&rsquo;attribut \u00ab\u00a0purpose\u00a0\u00bb \u00e9gal \u00e0 la valeur sp\u00e9cifi\u00e9e<br>                filtre = f'\u00a0\u00bbpurpose\u00a0\u00bb = {valeur_purpose}&rsquo;<br>                couche.setSubsetString(filtre)<br>                print(f\u00a0\u00bbFiltre d\u00e9fini pour la couche {couche.name()}\u00a0\u00bb)<br>            else:<br>                print(f\u00a0\u00bbLa couche {couche.name()} ne commence pas par &lsquo;pt_&rsquo;, &lsquo;li_&rsquo;, ou &lsquo;pl_'\u00a0\u00bb)<br>        else:<br>            print(f\u00a0\u00bbLa couche {couche.name()} n&rsquo;a pas d&rsquo;attribut &lsquo;purpose'\u00a0\u00bb)<br>    else:<br>        print(f\u00a0\u00bbLa couche {couche.name()} n&rsquo;est pas une couche vecteur\u00a0\u00bb)<br><br><br><\/div><\/div><br><\/p>\n\n\n\n<p><a href=\"https:\/\/www.nasca.ovh\/downloads\/filter_purpose.py\">Puedes descargar el script aqu\u00ed.<\/a><\/p>\n\n\n\n<p>Cargue el script en la consola de python, modifique la l\u00ednea:<\/p>\n\n\n\n<p>#Define el valor del atributo \u00ab\u00a0purpose\u00a0\u00bb a filtrar<\/p>\n\n\n\n<p>valor_prop\u00f3sito = <em><strong>5<\/strong><\/em><\/p>\n\n\n\n<p>con el valor de prop\u00f3sito deseado, luego ejecute el script. Se filtrar\u00e1n todas las capas presentes en el panel Capas del proyecto.<\/p>\n\n\n\n<p>Si desea eliminar todos los filtros activos de todas las capas del proyecto, el siguiente script le permite hacerlo:<\/p>\n\n\n\n<div class='stb-container stb-style-download stb-caption-box'><div class='stb-caption'><div class='stb-logo'><img class='stb-logo__image' 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' alt='img'\/><\/div><div class='stb-caption-content'>unfilter.py<\/div><div class='stb-tool'><\/div><\/div><div class='stb-content'><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># Importer le module QGIS\nfrom qgis.core import QgsProject\n\n# Obtenir le projet actif\nprojet = QgsProject.instance()\n\n# Obtenir la liste des couches charg\u00e9es dans le projet\ncouches = projet.mapLayers().values()\n\n# Parcourir toutes les couches\nfor couche in couches:\n    # V\u00e9rifier si la couche est une couche vectorielle\n    if couche.type() == QgsMapLayer.VectorLayer:\n        # Supprimer le filtre de la couche\n        couche.setSubsetString('')\n        print(f\"Filtre supprim\u00e9 pour la couche {couche.name()}\")\n<\/code><\/pre>\n\n\n\n<p><\/div><\/div>\n\n\n\n<p><a href=\"https:\/\/www.nasca.ovh\/downloads\/unfilter.py\" title=\"Vous pouvez t\u00e9l\u00e9charger le script ici.\"><a href=\"https:\/\/www.nasca.ovh\/downloads\/unfilter.py\">Puede descargar el script aqu\u00ed.<\/a><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Este art\u00edculo completa la serie de art\u00edculos sobre la creaci\u00f3n de una base de datos geopackage para gestionar las cartas n\u00e1uticas ENC en QGis y la simbolog\u00eda de las distintas capas de datos. Trabajar con un&hellip;<\/p>\n","protected":false},"author":1,"featured_media":12913,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"give_campaign_id":0,"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"sfsi_plus_gutenberg_text_before_share":"","sfsi_plus_gutenberg_show_text_before_share":"","sfsi_plus_gutenberg_icon_type":"","sfsi_plus_gutenberg_icon_alignemt":"","sfsi_plus_gutenburg_max_per_row":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1357],"tags":[2527,2735,2829,1989,2797,1369,2739],"class_list":["post-12844","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-qgis-es","tag-carga","tag-enc-es","tag-filtros","tag-geopackage-es","tag-python-es","tag-qgis-es","tag-s57-es"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2024\/04\/aert8-3.png?fit=1885%2C677&ssl=1","jetpack_shortlink":"https:\/\/wp.me\/p6XU0A-3la","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/posts\/12844","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/comments?post=12844"}],"version-history":[{"count":0,"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/posts\/12844\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/media\/12913"}],"wp:attachment":[{"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/media?parent=12844"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/categories?post=12844"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/tags?post=12844"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}