tag:blogger.com,1999:blog-26462913101107423282024-03-13T22:19:52.115+01:00SIMANFOREste blog es la plataforma de ayuda del portal simanfor (www.simanfor.es) y contiene las respuestas a las dudas más frecuentes de los usuarios.Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.comBlogger23125tag:blogger.com,1999:blog-2646291310110742328.post-66824366874535678732020-03-18T17:16:00.000+01:002020-03-18T17:16:15.735+01:00<div style="text-align: justify;">
<span style="font-family: "Trebuchet MS", sans-serif;">En estos momentos de lucha contra el COVID19 vamos a reforzar el uso de SIMANFOR para la docencia en la Universidad de Valladolid en <b>Ordenación de Montes (<a href="https://www.uva.es/export/sites/uva/2.docencia/2.01.grados/2.01.02.ofertaformativagrados/detalle/Grado-en-Ingenieria-Forestal-y-del-Medio-Natural/" target="_blank">Grado en Ing Forestal y del Medio Natural</a>) y en Modelización Forestal y Ambiental (<a href="http://dataforest.uva.es/" target="_blank">DATAFOREST</a>)</b></span></div>
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<span style="font-family: "Trebuchet MS", sans-serif;">Si alguien quiere usar SIMANFOR en sus clases virtuales puede escribirnos un correo y le daremos acceso al profesor y a los alumnos.</span></div>
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<span style="font-family: "Trebuchet MS", sans-serif;">Estamos en plena evolución a un nuevo SIMANFOR pero esta versión seguirá operativa hasta que la crisis termine.</span></div>
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<i><span style="font-family: "Trebuchet MS", sans-serif;">#YoMeQuedoEnCasa</span></i></div>
Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-25275839449061873582018-12-30T19:55:00.002+01:002018-12-30T19:55:57.423+01:00Simanfor ya está en varios idiomas<b><span style="font-size: large;">Ya tenemos SIMANFOR disponible en diferentes idiomas</span></b><br />
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Además de en español y en inglés, <b>SIMANFOR</b> ya está disponible en francés, portugués y vietnamita. Si estás interesado en colaborar traduciendo <a href="http://www.simanfor.es/" target="_blank"><b>SIMANFOR</b></a> a otra lengua o mejorando las versiones disponibles puedes ponerte en contacto con nosostros a través del correo electrónico: simanfor[at]pvs[dot]uva[dot]es donde dot es . y at es @</div>
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Puedes escribir al mismo correo si quieres incorporar algún modelo a la plataforma.Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-56747307626963738162016-01-17T18:54:00.001+01:002016-01-17T18:54:29.781+01:00Simanfor en inglés<b><span style="font-size: large;">Ya tenemos la versión en inglés de SIMANFOR. </span></b><br />
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Este es uno de los pasos para la internacionalización de la plataforma que sigue disponible en www.simanfor.es En breve tendremos noticias de una nueva forma para cargar datos en la plataforma de modo que su utilización sea más fácil.<br />
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" 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Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-40310506518064092962015-04-09T09:09:00.002+02:002015-05-02T23:10:04.297+02:00Seminario científico-técnico SIMANFOR<br />
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" 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<b><span style="font-family: Arial,Helvetica,sans-serif; font-size: large;"><span style="font-weight: normal;">Seminario científico-técnico</span></span></b></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-weight: normal;">SIMANFOR </span></span></h3>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-weight: normal;">Sistema para la Simulación de Alternativas de Manejo Forestal Sostenible</span></span></h3>
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<span style="font-family: Arial,Helvetica,sans-serif;">Martes, 28 de abril de 2015 – 12:00 horas<br />Salón de Actos<br />Edificio CTTA- Parque Científico Universidad de Valladolid</span><br />
<span style="font-family: Arial,Helvetica,sans-serif;"><a href="http://www.parquecientificouva.es/presentacion/dnde-estamos" target="_blank">¿Cómo llegar?</a> </span>
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<span style="font-family: Arial,Helvetica,sans-serif;"><b>Programa </b>(<a href="http://www.simanfor.es/Public/NotLoggedUsers/SeminarioSIMANFOR_Programa-def.pdf" target="_blank">versión detallada</a>)<b><br /></b></span><br />
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<a href="https://www.blogger.com/blogger.g?blogID=2646291310110742328" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"></a><a href="https://www.blogger.com/blogger.g?blogID=2646291310110742328" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"></a><span style="font-family: Arial,Helvetica,sans-serif;">11:45 h. – Recepción de los asistentes.<br />12:00 h. – Apertura del seminario. <a href="https://youtu.be/c8p6ChR9jUE">VIDEO</a><br />12:15 h. – ’SIMANFOR: diseño, estructura y uso para investigación y</span><br />
<span style="font-family: Arial,Helvetica,sans-serif;"> formación forestal’. <a href="http://sostenible.palencia.uva.es/compartida/documentacion.USB/Presentaciones/Simanfor.FBO.InvestigacionFormacion.pdf">PDF</a> <a href="https://youtu.be/GC9H77ccjr4">VIDEO</a> <br /> Felipe Bravo Oviedo, Universidad de Valladolid.<br />13:00 h. – ’SIMANFOR: comunidad de usuarios y soluciones web’. <a href="http://sostenible.palencia.uva.es/compartida/documentacion.USB/Presentaciones/simanfor.Medianet.SolucionesWeb.pdf">PDF</a></span><span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-family: Arial,Helvetica,sans-serif;"> </span> <a href="https://youtu.be/9S52DAYrAuQ">VIDEO</a><br /> José Cáceres, Medianet Software.<br />13:45 h. – ’Modelización forestal: enfoques y potencialidades’. <a href="http://sostenible.palencia.uva.es/compartida/documentacion.USB/Presentaciones/simanfor.PRodriguez.ModelosForestales.pdf">PDF</a> <a href="https://youtu.be/CwMC1krOowI">VIDEO</a> </span><br />
<span style="font-family: Arial,Helvetica,sans-serif;"> Francisco Rodríguez, socio-fundador de föra forest technologies, spin-off UVa</span><br />
<span style="font-family: Arial,Helvetica,sans-serif;">14:15 h. – ’Programación de modelos en SIMANFOR’. <a href="http://sostenible.palencia.uva.es/compartida/documentacion.USB/Presentaciones/Simanfor.ACO.programacion.pdf">PDF</a><span style="font-family: Arial,Helvetica,sans-serif;"> <a href="http://youtu.be/WLY3s6uQ9zM">VIDEO</a></span> <br /> Cristóbal Ordóñez Alonso, Universidad de Valladolid.<br />14:30 h. – ’Modelización de recursos forestales no maderables’. <a href="http://sostenible.palencia.uva.es/compartida/documentacion.USB/Presentaciones/Simanfor.JO.RecNoMaderables.pdf">PDF</a><span style="font-family: Arial,Helvetica,sans-serif;"> <a href="https://youtu.be/khErfB_T09I">VIDEO</a></span> <br /> Jaime Olaizola, socio-fundador de ECM-Ingeniería Ambiental<br />15:00h. – DESCANSO.</span><br />
<span style="font-family: Arial,Helvetica,sans-serif;"><br /></span><span style="font-family: Arial,Helvetica,sans-serif;">16:00h. – ‘Desarrollo de caso práctico en SIMANFOR’ <a href="http://sostenible.palencia.uva.es/compartida/documentacion.USB/Presentaciones/Simanfor.FBO-ACO.SesionPractica.pdf">PDF</a> </span><span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-family: Arial,Helvetica,sans-serif;"> </span><a href="http://sostenible.palencia.uva.es/compartida/documentacion.USB/DatosOriginales.xls">Datos</a> </span> </span><span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-family: Arial,Helvetica,sans-serif;"><a href="http://sostenible.palencia.uva.es/compartida/documentacion.USB/PlantillaSDM.JornadaDifusion.xlsx">Plantilla</a> </span> <a href="http://sostenible.palencia.uva.es/compartida/documentacion.USB/Output00.xlsx">Salida</a><span style="font-family: Arial,Helvetica,sans-serif;"> <a href="http://youtu.be/PmxD6LAG9aE">VIDEO</a></span> </span><br />
<span style="font-family: Arial,Helvetica,sans-serif;"> Felipe Bravo Oviedo y Cristóbal Ordóñez Alonso; Universidad de Valladolid.</span><br />
<ul>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Formato y subida de inventarios forestales a la plataforma.</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Selección de modelos.</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Elaboración de itinerarios selvícolas.</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Obtención e interpretación de la salida de SIMANFOR.</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Métodos avanzados para el uso de SIMANFOR.</span></li>
</ul>
<span style="font-family: Arial,Helvetica,sans-serif;">18:30h. – Fin del Seminario </span>
<span style="font-family: Arial,Helvetica,sans-serif;"><b><br /></b></span>
<span style="font-family: Arial,Helvetica,sans-serif;"><b><br /></b></span>
<span style="font-family: Arial,Helvetica,sans-serif;"><b>Inscripción</b></span><br />
<br />
<span style="font-family: Arial,Helvetica,sans-serif;">La inscripción es gratuita y puede realizarse mediante este enlace: <a href="http://goo.gl/forms/9mf5KZVGQ2" target="_blank">FORMULARIO DE INSCRIPCIÓN</a></span>
<b><span style="font-family: Arial,Helvetica,sans-serif;"><br /></span></b><br />
<span style="font-family: Arial,Helvetica,sans-serif;"><b>Este
seminario se restransmitirá por 'streaming' (ver más abajo) y se
realizará una conexión webinar (para facilitar la sesión práctica) con
los siguientes nodos:</b></span><br />
<span style="font-family: Arial,Helvetica,sans-serif;"><br /></span>
<br />
<ul>
<a href="https://www.blogger.com/blogger.g?blogID=2646291310110742328" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"></a>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Facultad de Ciencias Agrarias y Forestales, Universidad Nacional de La Plata, Argentina.</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Facultad de Ciencias Forestales, Universidad Nacional de Misiones, El Dorado, Argentina.</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Facultad de
Ciencias Forestales de la Universidad Nacional de Santiago del Estero - Argentina </span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Facultad de Ciencias Agrarias, Universidad Nacional, Medellín, Colombia</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Universidad Distrital Francisco José de Caldas, Bogotá, Colombia </span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Escuela Técnica Superior de Ingenierías Agrarias, Universidad de Valladolid (Campus de Palencia), España.</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Escuela Técnica Superior de Ingenieros Agrónomos y de Montes de Albacete, Universidad de Castilla-La Mancha, España. </span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Centro Universitario de Plasencia, Universidad de Extremadura, España. </span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Ethiopian Environment and Forest Research Institute, Addis Abeba, Etiopía. </span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">Facultad de Agronomía, Universidad de la República, Uruguay. </span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;">INIA, Programa Forestal, Tacuarembó, Uruguay.</span></li>
</ul>
<div style="text-align: left;">
<a href="https://www.blogger.com/blogger.g?blogID=2646291310110742328" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"></a><span style="font-family: Arial,Helvetica,sans-serif;">Para poder acceder a la plataforma SIMANFOR (y hacer el ejercicio de la sesión práctica) hay que estar presente en el Parque Científico de la Universidad de Valladolid o en alguno de los nodos previstos. Solo se emitirá el diploma de asistencia a los participantes desde el Parque Científico de la Universidad de Valladolid o desde los nodos.</span></div>
<div style="text-align: left;">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">El seminario se puede seguir a través de este <a href="http://livestre.am/1eMLx" target="_blank"><b>ENLACE</b></a></span><br />
<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhSHvzg4YbTYPhXR4JVve585pWWx5M5FaOtA5OLWuJN0um-5KaheHlWO8WaH3UYeO8T2HORThW_UvQe-EnnU4NJJ6G7cHkzR8bT38uuvO4DE6BOlWUW-a3z9jFFugO2HeKFMY6pNvYwe74L/s1600/Organiza-Financia.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhSHvzg4YbTYPhXR4JVve585pWWx5M5FaOtA5OLWuJN0um-5KaheHlWO8WaH3UYeO8T2HORThW_UvQe-EnnU4NJJ6G7cHkzR8bT38uuvO4DE6BOlWUW-a3z9jFFugO2HeKFMY6pNvYwe74L/s1600/Organiza-Financia.JPG" /> </a></div>
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<div class="separator" style="clear: both; text-align: center;">
<span style="font-family: Arial,Helvetica,sans-serif;">Proyecto AC2014-00050-00-00 financiado por el INIA en el marco del Plan Estatal de Investigación Cientí fica y Técnica y de Innovación, 2013 – 2016, por fondos FEDER, Universidad de Valladolid y Parque Cientí fico UVa. </span></div>
<br />
<br />Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-52496613162354023492015-04-05T11:31:00.002+02:002015-04-05T11:31:53.959+02:00Seminario SIMANFOR<span style="font-family: Georgia,"Times New Roman",serif;">El 28 de abril de 2015 celebraremos un <b>seminario de difusión</b> de</span><span style="font-family: Georgia,"Times New Roman",serif;"><span style="font-family: Georgia,"Times New Roman",serif;"> <a href="http://www.simanfor.es/" target="_blank">SIMANFOR</a></span>. Será en el <a href="http://www.parquecientificouva.es/" target="_blank">Parque Científico</a> de la Universidad de Valladolid a partir de las 12:00 y hasta las 18:30. El seminario constará de cuatro charlas sobre <a href="http://www.simanfor.es/" target="_blank">SIMANFOR</a> y la modelización forestal y un taller sobre uso de SIMANFOR.</span><br />
<br />
<span style="font-family: Georgia,"Times New Roman",serif;">El seminario se podrá seguir por 'streaming' pero para poder participar en el taller hará falta inscribirse y participar desde el Parque Científico o desde alguno de los nodos (en Argentina, Colombia, España, Etiopía y Uruguay) que colaboran en el evento.</span><br />
<br />
<span style="font-family: Georgia,"Times New Roman",serif;">El evento está destinado a profesionales y estudiantes de diferentes ámbitos: forestal, ambiental, informático o estadística entre otros.</span><br />
<span style="font-family: Georgia,"Times New Roman",serif;"><br /></span>
<span style="font-family: Georgia,"Times New Roman",serif;">En breve estará disponible el boletín de inscripción en este blog.</span><br />
<span style="font-family: Georgia,"Times New Roman",serif;"><br /></span>
<span style="font-family: Georgia,"Times New Roman",serif;">¡Os esperamos!</span>Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-85398250284348744302013-06-04T15:03:00.001+02:002013-06-04T15:04:29.592+02:00MASAS MIXTAS: Un concepto de especial interés para la investigación forestal<span style="font-family: Verdana,sans-serif;"><span style="font-size: small;">Ha comenzado la Acción COST FP1206: European mixed forests. Integrating Scientific Knowledge in Sustainable Forest Management (EUMIXFOR). En esta acción se trabajará sobre las masas mixtas centrándose en la estructura, dinámica y funcionamiento de las mezcas de especies arbóreas en Europa. </span></span><br />
<span style="font-family: Verdana,sans-serif;"><br /></span>
<span style="font-family: Verdana,sans-serif;"><span style="font-size: small;">Esta acción COST aún no tiene su propia página web pero su información general puede encontrarse en <a href="http://www.cost.eu/domains_actions/fps/Actions/FP1206" target="_blank">http://www.cost.eu/domains_actions/fps/Actions/FP1206 </a></span></span><br />
<span style="font-family: Verdana,sans-serif;"><br /></span>
<span style="font-family: Verdana,sans-serif;"><br /></span>
<span style="font-family: Verdana,sans-serif;"><span style="font-size: small;">En el grupo de trabajo sobre Selvicultura habrá una tarea especial sobre modelos de crecimiento y otras herramientas para la gestión. <a href="http://www.simanfor.es/" target="_blank">SIMANFOR</a> se integrará en este grupo de trabajo y se difundirá entre los socios de la acción.</span></span>Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-37553924865990030212012-08-20T12:54:00.001+02:002012-08-20T12:54:29.821+02:00formato de los inventarios<a href="http://images.all-free-download.com/images/graphiclarge/office_excel_xlsx_100222.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="http://images.all-free-download.com/images/graphiclarge/office_excel_xlsx_100222.jpg" width="200" /></a>Ya se puede subir en SIMANFOR los <b>inventarios</b> de vuestras parcelas en <b>formato .xlsx (Office 2007)</b>.<br />
<br />
Perdonad las molestias que hayáis tenido hasta ahora con este tema.Irene Ruanohttp://www.blogger.com/profile/04227608165842864575noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-879667473529714172011-11-07T13:41:00.001+01:002011-11-07T13:43:05.012+01:00Messi-For<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhursXv_IdNbhsRAtp6nxxAEBw-e9SUcO1vC2X5KtylGKEu7qujfEaqkwrbKwRGGRQUFzWSz5gEvzgoURn-Z7mR4TmG9BQL8qlyRCjVXdhERSel0TlLXapbRjXuuF1c_Ggoc-gEwRrdufau/s1600/Simulacion+de+Crecimiento.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="208" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhursXv_IdNbhsRAtp6nxxAEBw-e9SUcO1vC2X5KtylGKEu7qujfEaqkwrbKwRGGRQUFzWSz5gEvzgoURn-Z7mR4TmG9BQL8qlyRCjVXdhERSel0TlLXapbRjXuuF1c_Ggoc-gEwRrdufau/s320/Simulacion+de+Crecimiento.jpg" width="320" /></a><a href="http://www.simanfor.es/">SIMANFOR</a> será presentado en el marco del proyecto <a href="http://www.messifor.es/" target="_blank">Messi-For </a>a profesores y estudiantes de Centros de Formación Profesional. Entre los participantes en el proyecto se encuentran CESEFOR, Agresta, Stereocarto y 9 centros de FP forestal de diversas comunidades autónomas (Andalucía, Aragón, Castilla y León, Galicia y País Vasco)Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-1746647681542678492011-11-07T13:34:00.000+01:002011-11-07T13:34:07.650+01:00Nuevas cuentas para Ordenación de los Recursos Forestales (Universidad de Valladolid)<div class="separator" style="clear: both; text-align: left;"><a href="http://iniawebext.inia.es/fotosfototeca/MEM/MEM-0992.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="210" src="http://iniawebext.inia.es/fotosfototeca/MEM/MEM-0992.jpg" width="320" /></a></div><br />
Se han creado las cuentas para los estudiantes de Ordenación de los Recursos Forestales (Universidad de Valladolid) del curso 2011/12Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-74266532110211704372011-09-04T19:16:00.001+02:002011-09-04T19:16:26.660+02:00Taller Innovación DocenteEl Vicerrectorado de Docencia de la Universidad de Valladolid organiza un Taller sobre "<strong>SIMANFOR</strong> como herramienta docente" dentro del Programa de Formación del Profesorado de la Univ Valladolid. El taller, que es semipresencial, tendrá lugar entre los días 5 y 26 de Septiembre en el Campus Universitario de Palencia.Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-9103855229522308462011-07-09T00:28:00.000+02:002011-07-09T00:28:55.564+02:00Nuevo modelo matricial<div style="text-align: justify;">Acaba de publicarse en <a href="http://www.springerlink.com/content/266u638362667p45/">Annals of Forest Science </a>un trabajo sobre modelos matriciales de crecimiento diamétrico para <i>Pinus pinaster</i> y<i> Pinus sylvestris</i> Estos nuevos modelos se incorporarán próximamente a <a href="http://www.simanfor.es/">SIMANFOR</a>, </div><div style="text-align: justify;"><br />
</div><ul><li>Escalante, E., Pando, V., Ordóñez, C., Bravo, F. 2011. Multinomial logit estimation of a diameter growth matrix model of two Mediterranean pine species in Spain. <i>Annals of Forest Science </i>68(4):715-726 (<a href="http://www.springerlink.com/content/266u638362667p45/">enlace</a>)</li>
</ul>Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-64265507226679820712011-06-13T10:10:00.001+02:002011-07-09T00:21:29.219+02:00mantenimiento del servidorYa se ha activado SIMANFOR de nuevo.<br />
<br />
<div style="text-align: right;"><i> <br />
<br />
Hoy 13 de junio vamos a para el servidor de SIMANFOR para llevar a cabo trabajos de mantenimiento. Entre las 14:30 y las 15:00 horas aproximadamente no funcionará la web.</i></div><div style="text-align: left;"><i> Disculpad las molestias</i></div>Irene Ruanohttp://www.blogger.com/profile/04227608165842864575noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-75484265931396913152011-05-11T09:18:00.001+02:002011-05-11T09:20:34.112+02:00Corta FinalLas cortas finales no se pueden simular en SIMANFOR. Es decir no se puede proponer una corta del 100% de los árboles (ni en área basimétirica ni en volumen) porque el sistema se queda sin objeto (los árboles) sobre los que simular.<br />
<br />
La masa que corresponde a la corta final es la masa final tras el último nodo ejecutado.Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-54517727311896434842011-05-10T11:42:00.001+02:002011-05-11T09:21:14.886+02:00Proyecto de Innovación Educativa<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="http://iniawebext.inia.es/fotosfototeca/BU/BU-0040.jpg" imageanchor="1" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" height="249" src="http://iniawebext.inia.es/fotosfototeca/BU/BU-0040.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Vista área del pinar de Quintanar de la Sierra (Burgos). Fototeca Forestal www.inia.es/fototeca</td></tr>
</tbody></table><br />
La <a href="http://www.uva.es/">Universidad de Valladolid </a>ha aprobado el proyecto de innovación docente 'Un bosque de números'. Este proyecto está liderado por un grupo de profesores e investigadores del <a href="http://www.research4forestry.eu/">Instituto de Gestión Forestal Sostenible</a> (UVa-INIA) y del Colegio de Posgraduados de México y la Universidad Nacional de San Luis (Argentina).Los objetivos principales del proyecto son: <br />
<ol><li class="MsoNormal" style="margin-bottom: 6.0pt; margin-top: 18.0pt; mso-list: l0 level1 lfo1; text-align: justify;"><span lang="ES">Desarrollo de contenidos para <a href="http://www.simanfor.es/blog">www.simanfor.es/blog</a> y <a href="http://numerosybosques.blogspot.com/">http://numerosybosques.blogspot.com</a> </span></li>
<li class="MsoNormal" style="margin-bottom: 6pt; margin-top: 18pt; text-align: justify;"><span lang="ES">Integración en SIMANFOR de variantes de IBERO-pt y ps</span></li>
<li class="MsoNormal" style="margin-bottom: 6.0pt; margin-top: 18.0pt; mso-list: l0 level1 lfo1; text-align: justify;"><span lang="ES"> Integración en SIMANFOR del modelo de pino piñonero, pino silvestre y eucalipto en España</span></li>
<li class="MsoNormal" style="margin-bottom: 6.0pt; margin-top: 18.0pt; mso-list: l0 level1 lfo1; text-align: justify;"><span lang="ES">Integración en SIMANFOR del modelo de cedro americano en México y Caldén en Argentina</span></li>
<li class="MsoNormal" style="margin-bottom: 6.0pt; margin-top: 18.0pt; mso-list: l0 level1 lfo1; text-align: justify;"><span lang="ES">Redacción del manual docente de simulación y modelización forestal con SIMANFOR</span></li>
<li class="MsoNormal" style="margin-bottom: 6.0pt; margin-top: 18.0pt; mso-list: l0 level1 lfo1; text-align: justify;"><span lang="ES">Desarrollo de proyectos en el aula con los estudiantes</span></li>
</ol>Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-85093885718584341312011-04-10T10:56:00.000+02:002011-04-10T10:56:03.751+02:00Nueva variante de IBERO en pruebas<div class="separator" style="clear: both; text-align: center;"><a href="http://2.bp.blogspot.com/_TSvGgzE1O-w/TZQ2dcjxTFI/AAAAAAAAAPE/NYkHoV5yqLI/s288/DSCN0884.JPG" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://2.bp.blogspot.com/_TSvGgzE1O-w/TZQ2dcjxTFI/AAAAAAAAAPE/NYkHoV5yqLI/s288/DSCN0884.JPG" /></a></div>Ya está en pruebas la nueva variante de IBERO basada en una modificación de la ecuación de crecimiento en diámetro.<br />
Esta variante incluirá un modelo logístico multinomial que permite predecir la probabilidad de la tasa de crecimiento en diámetro mejorando los resultados obtenidos hasta la fecha con IBERO. La explicación detallada de este trabajo saldrá en un artículo que está a punto de publicarse en <a href="http://www.springerlink.com/content/1286-4560/?k=Ernesto+Escalante"><i>Annals of Forest Science</i></a><br />
En breve estará esta nueva versión de IBERO disponible tanto para <i>Pinus pinaster</i> como para <i>Pinus sylvestris</i>Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-42923003568561401562011-03-24T20:09:00.003+01:002012-02-16T12:44:25.994+01:00Nueva plantilla para cargar datos en SIMANFOR<div style="text-align: center;"><span class="Apple-style-span" style="color: #0b5394; font-size: large;"><b>Ya se ha cargado la nueva plantilla de datos en SIMANFOR.</b></span></div><br />
<a href="http://iniawebext.inia.es/fotosfototeca/MEM/MEM-0994.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="213" src="http://iniawebext.inia.es/fotosfototeca/MEM/MEM-0994.jpg" width="320" /></a>Solo hay que <b>modificar</b> las <b>celdas en verde</b> de las <b>hojas coloreadas en verde</b> (<span class="Apple-style-span" style="color: red;"><b>¡fácil!</b></span>)<br />
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Si las parcelas son del tipo del Inventario Forestal Nacional de España, no hay que cambiar nada más pero si las <b>parcelas</b> son de <b>circulares de radio fijo o rectangulares hay que</b>:<br />
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1. Indicar que son de tipo 2 en la hoja ParcelaInventario<br />
2. Poner la superficie de la parcela (en metros cuadrados) en la hoja Forma<br />
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No hay que eliminar los comentarios que encontraréis en la plantilla. Aunque está dentro del sistema os la dejamos <a href="http://sostenible.palencia.uva.es/compartida/PlantillaSDM.xls"><b>AQUI</b></a> para facilitaros la tarea.<br />
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Esperamos que esto ayude os sea útil para mejorar la ejecución de los escenarios.<br />
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La foto procede de la Fototeca Forestal (<a href="http://www.inia.es/fototeca">http://www.inia.es/fototeca</a>) Aprovechamos para hacerles publicidad que es un trabajo...¡espectacular!Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-81697588732128886862011-03-22T00:55:00.001+01:002011-03-22T00:56:10.883+01:00CANAL DE SIMANFOR EN YOUTUBEHemos comenzado a subir vídeos en nuestro canal de Youtube <a href="http://www.youtube.com/user/SImulaMAnejoFORestal">http://www.youtube.com/user/SImulaMAnejoFORestal. </a>Aquí os dejamos nuestro primer vídeo para mostrar el uso básico de SIMANFOR en 10 pasos. Esperamos que os sea útil.<br />
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<iframe title="YouTube video player" width="480" height="390" src="http://www.youtube.com/embed/7MhElT5e_9o?rel=0" frameborder="0" allowfullscreen></iframe>Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-81128479801278864652011-03-12T11:59:00.002+01:002011-03-14T12:49:28.519+01:00NUEVO MODELO DISPONIBLE<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEidTWNUGOVzHX3ovspUWSDD3VcclTpAq2xIBYI0sglIcQ-2PQAkngxkMTT3br44CNKwQOIjppEIYWE4dM6awtwa76wLgWm6kAI6XkCUMl6uXNEH7ORzDReXYMLqKu6y_IDYFAdGGvQnh0Sm/s1600/Modelos+disponibles.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="175" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEidTWNUGOVzHX3ovspUWSDD3VcclTpAq2xIBYI0sglIcQ-2PQAkngxkMTT3br44CNKwQOIjppEIYWE4dM6awtwa76wLgWm6kAI6XkCUMl6uXNEH7ORzDReXYMLqKu6y_IDYFAdGGvQnh0Sm/s400/Modelos+disponibles.JPG" width="400" /></a></div>Están disponibles en SIMANFOR las vesiones de IBERO para <i>Pinus pinaster</i> y <i>Pinus sylvestris</i>. Ya estamos trabajando en una nueva versión de estos modelos incluyendo ecuaciones basadas en modelos ajustados mediante regresión logística multinomial para determinar el crecimiento en diámetro.Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-50510096412065831652010-10-25T11:42:00.005+02:002010-10-25T11:55:17.937+02:00Archivos a subirBerta Briñas, alumna del Master de Ingeniería de Montes de la Universidad de Valladolid, se ha puesto en contacto con nosotros para avisarnos de un problema con el que se ha encontrado.<br /><br />El archivo excel que hay que subir en el apartado "Inventarios" no puede ser de la versión 2007 ya que produce un error el sistema. Entonces para subir este archivo habrá que guardarlo en el formato de una versión anterior.<br /><br />Esperemos que no sea un gran problema y agradecemos a Berta su observación para que no nos ocurra a otros usuarios. Esperamos vuestros comentarios, sugerencias, dudas... en simanfor@pvs.uva.esIrene Ruanohttp://www.blogger.com/profile/04227608165842864575noreply@blogger.com1tag:blogger.com,1999:blog-2646291310110742328.post-3030475843840557582010-07-22T10:17:00.003+02:002010-07-22T10:29:05.338+02:00SIMANFOR ya esta disponibleDespués de meses de trabajo podemos decir que Simanfor entra en funcionamiento para todos los usuarios interesados en esta plataforma de simulación.<br /><br />Ya hemos empezado a dar de alta a todas las personas que nos han solicitado participar en Simanfor. Recibiréis un correo para activar la cuenta de Simanfor (noreply@medianet.es) con asunto "Activación de cuenta". Esperemos que no se vaya a Spam, estad atentos si no lo recibis.<br /><br />Y para los que estais interesados y todavia no habeis solicitado el alta, recordad que la contraseña debe tener un mínimo de 7 caracteres alfanuméricos (números y letras) y 1 carácter no alfanumérico.<br /><br />Cualquier problema o pregunta que surja no dudéis en consultarla en simanfor@pvs.uva.es. Esperamos vuestra participación en este blog.Irene Ruanohttp://www.blogger.com/profile/04227608165842864575noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-57042344244187555502009-09-28T14:08:00.004+02:002009-09-28T20:01:45.284+02:00SIMANFOR en pruebasSIMANFOR se encuentra en pruebas, por lo que todavia no podeis daros de alta como usuarios. En cuanto este operativo anunciaremos aqui su disponibilidad. Podeis visitarnos regularmente o suscribiros a las entradas para saber cuando funciona definitivamente SIMANFOR.<br /><br />Muchas gracias por el interes y perdonad el retrasoIrene Ruanohttp://www.blogger.com/profile/04227608165842864575noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-27130778753794606732009-09-23T22:40:00.000+02:002009-09-23T22:40:25.449+02:00¿Quién desarrolla SIMANFOR?SIMANFOR es una iniciativa conjunta del Instituto de Investigación en Gestión Forestal Sostenible [UVa-INIA] y CESEFOR que ha contado con la colaboración de diversas instituciones científicas españolas y de la empresa de desarrollos informáticos MediaNet Software.Felipe Bravohttp://www.blogger.com/profile/13733594545131347995noreply@blogger.com0tag:blogger.com,1999:blog-2646291310110742328.post-49554922596291752062009-09-23T13:24:00.002+02:002018-12-30T20:28:44.398+01:00¿Qué es SIMANFOR?<div style="text-align: justify;">
<b><a href="http://www.simanfor.es/" target="_blank">SIMANFOR</a> </b>es un sistema de simulación de modelos forestales que permite la gestión de inventarios forestales, la proyección de la dinámica de sistemas forestales mediante la aplicación de modelos tanto empíricos como de procesos y el desarrollo y evaluación de regímenes de selvicultura diseñados por los usuarios.</div>
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