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This tutorial presents `R` code for the calibration and validation of prediction models with the so-called [area-based method](Area-based-approach), 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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This workflow is now on [https://lidar.pages.mia.inra.fr/lidaRtRee/articles/area-based.2.model.calibration.html](https://lidar.pages.mia.inra.fr/lidaRtRee/articles/area-based.2.model.calibration.html)
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* [Rmarkdown source](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/R/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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* datasets required to run the source code are also available on the repository.
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This tutorial presents `R` code for the calibration and validation of prediction models with the so-called [area-based method](Area-based-approach), 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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Change log
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* Dec 21, 2023: moved to [https://forgemia.inra.fr/lidar/lidaRtRee](https://forgemia.inra.fr/lidar/lidaRtRee)
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* April 6, 2023: checked with new version of `lidaRtRee`
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+ July 19, 2022: checked with new version of `lidaRtRee`
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+ May 24, 2022: switch to `terra` and `sf` to comply with new version of `lidR` and `lidaRtRee`
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