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--- | ||
title: "Presentation" | ||
output: rmarkdown::html_vignette | ||
vignette: > | ||
%\VignetteIndexEntry{Presentation} | ||
%\VignetteEngine{knitr::knitr} | ||
%\VignetteEncoding{UTF-8} | ||
--- | ||
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css" /> | ||
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*To follow **biomod2** evolution of organization and features, the presentation below details the different steps and modules of the package.* | ||
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<br/><br/> | ||
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<div style="text-align:center;"> | ||
<embed src="pictures/biomod2_presentation.workflow_05_2024.pdf" width="900" height="700" type="application/pdf" allowfullscreen webkitallowfullscreen> | ||
</embed> | ||
</div> | ||
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<br/><br/> | ||
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<div align="center"> | ||
<p><a href="pictures/SCHEMA_BIOMOD2_WORKFLOW_functions.pdf">Download pdf of WORKFLOW GRAPHIC <i class="fas fa-download"></i></a></p> | ||
<p><a href="pictures/biomod2_presentation.workflow_05_2024.pdf">Download pdf of PRESENTATION <i class="fas fa-download"></i></a></p> | ||
</div> | ||
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#### <i class="fa-solid fa-list-check"></i> Data formating : [BIOMOD_FormatingData](../reference/BIOMOD_FormatingData.html) | ||
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- **Formating data** : combine observations, coordinates and explanatory variables, <br/>and sample pseudo-absences for presence-only data (*through [bm_PseudoAbsences](../reference/bm_PseudoAbsences.html)*) | ||
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- **Cross-validation** : create calibration / validation datasets (*through [bm_CrossValidation](../reference/bm_CrossValidation.html)*) | ||
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- **Modeling options** (*with the help of [ModelsTable](../reference/ModelsTable.html) and [OptionsBigboss](../reference/OptionsBigboss.html) datasets*) | ||
+ Define specific options for single models (*through [bm_ModelingOptions](../reference/bm_ModelingOptions.html)*) | ||
+ And tune with your own data (*through [bm_Tuning](../reference/bm_Tuning.html)*) | ||
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#### <i class="fa-solid fa-virus"></i> Single models : [BIOMOD_Modeling](../reference/BIOMOD_Modeling.html) | ||
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- **Evaluation** : transform predicted probabilities in binary values (*through [bm_BinaryTransformation](../reference/bm_BinaryTransformation.html)*), <br/>and compute evaluation metrics (*through [bm_FindOptimStat](../reference/bm_FindOptimStat.html)*) | ||
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- **Variables' importance** : estimate the impact of each explanatory variable on predictions (*through [bm_VariablesImportance](../reference/bm_VariablesImportance.html)*) | ||
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#### <i class="fa-solid fa-viruses"></i> Ensemble models : [BIOMOD_EnsembleModeling](../reference/BIOMOD_EnsembleModeling.html) | ||
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- Filter single models based on one evaluation metric | ||
- Combine them according to different combinations | ||
- And build ensemble models | ||
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#### <i class="fas fa-chart-bar"></i> Exploring outputs | ||
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- Evaluation : [bm_PlotEvalMean](../reference/bm_PlotEvalMean.html), [bm_PlotEvalBoxplot](../reference/bm_PlotEvalBoxplot.html) | ||
- Variables' importance : [bm_PlotVarImpBoxplot](../reference/bm_PlotVarImpBoxplot.html) | ||
- Response curves : [bm_PlotResponseCurves](../reference/bm_PlotResponseCurves.html) | ||
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#### <i class="fa-solid fa-earth-europe"></i> Projecting models : [BIOMOD_Projection](../reference/BIOMOD_Projection.html), [BIOMOD_EnsembleForecasting](../reference/BIOMOD_BIOMOD_EnsembleForecasting.html) | ||
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- Project models onto new conditions | ||
- Transform predicted probabilities in binary values (*through [bm_BinaryTransformation](../reference/bm_BinaryTransformation.html)*) | ||
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#### <i class="fa-solid fa-ruler-combined"></i> Species range change : [BIOMOD_RangeSize](../reference/BIOMOD_RangeSize.html) |