ABA-data-preparation.md

+This tutorial presents `R` code for the preparation of field inventory and ALS data to be used in the calibration of prediction models with the so-called area-based method. The following steps are considered :
+
+* import of field inventory data (tree measurements and plot information),
+* check of field measurements,
+* extraction of ALS data for each inventory plot,
+* computation of stand-level forest parameters for each inventory plot.
+
+The following files are provided:
+
+* [Rmarkdown source](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/area-based.1.data.preparation.Rmd),
+* **[ABA data preparation tutorial in html](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/raw/master/export/area-based.1.data.preparation.html?inline=false)**,
+* [ABA data preparation tutorial in pdf](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/export/area-based.1.data.preparation.pdf),
+* datasets required to run the source code are also available on the repository.
+
+Change log
+
++ Jan 2021: updated to comply with lidR 3.1.0 and lidaRtRee 3.0.0, added figures and check step of field data
++ Oct, 2020: checked compatibility with lidR 3.0.3
++ Jan, 2020: field names changed to English
++ Oct, 2019: added projection info / updated points clouds in rda archive
++ Aug, 2018: first version