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This tutorial presents `R` code for the calibration and validation of prediction models with the so-called area-based method, which aims at calibrating relationships between metrics computed from airborne laser scanning (ALS) point clouds and forest stand parameters measured on field plots.
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The following files are provided:
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* [Rmarkdown source](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/area-based.2.model.calibration.Rmd),
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* **[ABA model calibration tutorial in html](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/raw/master/export/area-based.2.model.calibration.html?inline=false)**,
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* [ABA model calibration tutorial in pdf](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/export/area-based.2.model.calibration.pdf),
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* datasets required to run the source code are also available on the repository.
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Change log
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+ Mar 2021: first version |
