Selecting one or more taxa from the same algorithm group (sort by algorithm view) will effectively perform a 'hotspot' analysis, where each cell in the output raster represents the number of taxa predicted presence in that cell based on the defined Minimum Cut-off Threshold Percentage. By sorting the tree by taxon or by algorithm, you can easily select a group of model projections. A thumbnail preview of each model is drawn next to each entry in the tree. Only succaessfully completed model projections are shown in the tree. Using this tool you can:Create a model projection map that shows only cells that were above a specific probabilty of occurrence.Create a 'hotspot' map showing predicted alpha biodiversity based on the number of thresholded probability layers for different taxa predicting presence in each cell.Create a 'consensus' model showing number of thresholded models predicting presence in each cell.To perform a threshold analysis, you can select any number of models from the experiment tree. Once the experiment has been created, it will be loaded in the experiment tree on the left of this window, and you will be asked if you wish to start running the experiment.Threshold ToolThe threshold tool creates boolean model projection rasters from probability range rasters using a Minimum Cut-off Threshold Percentage. You can clone any profile using the algorithm manager to create a 'User Profile', and then customise the user profile as you like.Experiment DesignerOnce you have defined at least one layer set and have some occurrence data available, you can use the experiment designer to prepare an experiment. The default algorithm parameters are called 'System Profiles'. With the algorithm manager you can cutomise these defaults to make the algorithm perform in a way more suited to your needs. In openModeller Desktop you use layer sets to specify the raster layers that should be used for creating models and for projecting models.Algorithm ManagerThe authors of openModeller algorithms provide sensible defaults for each algorithm. Layer Set ManagerUse the layer set manager to define layer sets.Previous collaborators include the BDWorld project (University of Reading), the University of Kansas Natural History Museum & Biodiversity Research Center (KU), and other individual participants. It is funded by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), the Incofish project, and by individuals that have generously contributed their time. The project is currently being developed by the Centro de ReferênciaemInformaçãoAmbiental (CRIA), EscolaPolitécnicada USP (Poli), and InstitutoNacional de PesquisasEspaciais (INPE) as an open-source initiative.Exportar imagen del resultado de cada modelo.Visualizar el mapa de cada especie por cada modelo.Explorar tabla de valores de cada variable sobre cada punto.Algunas bases de datos de clima pueden descargarse directamente con el programa Las variables ambientales deben de estar en formato ASCII GRID. Acceso a bases de datos de GBIF directamente desde Openmodeller Desktop ID-tab-Nombre de la especie-tab-Longitud-tab-Latitud-tab-Abundancia (opcional)
txt: debe contener las siguientes campos (separados por la tecla Tab), Herramienta para busqueda de registros (Localities search tool)Īdministrador de variables (Layer set manager)Įsta ligado a la base de datos del Facilitador Global de Información deĪntes de ir al administrador de nuevos proyectos… RECOMENDACIONES SITIOS ESPECIFICOS CON UNAīeatriz Vanessa Herrera Campo, Distribución de plagas y enfermedadesĭecision and Policy Analysis (DAPA), Agricultura Especifica por Sitio - Compartiendo Experiencias (AESCE)Ĭentro Internacional de Agricultura Tropical (CIAT) 2012Īdministrador de juegos de variables (Layer set manager)Īdministrador de Algoritmos – Modelos (Algorithm profile)
Herrera b 2012_breve_turorial_openmodellerĬURSO –TALLER 4: METODOLOGÍAS PARA GENERAR
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