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This tutorial presents `R` code for forest mapping with the so-called [area-based method](Area-based-approach). It consists in using prediction models calibrated during the [previous step](ABA-model-calibration) with wall-to-wall lidar surveys to produce maps of forest parameters.
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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/R/area-based.3.mapping.and.inference.Rmd),
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* **[ABA forest mapping and inference in html](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/raw/master/export/area-based.3.mapping.and.inference.html?inline=false)**,
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* [ABA forest mapping and inference 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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+ April 2021: first version |
