ABA-data-preparation.md

+This workflow is now on [https://lidar.pages.mia.inra.fr/lidaRtRee/articles/area-based.1.data.preparation.html](https://lidar.pages.mia.inra.fr/lidaRtRee/articles/area-based.1.data.preparation.html)
+
 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](Area-based-approach). The following steps are considered :
 
 * import of field inventory data (tree measurements and plot information),
@@ -5,15 +7,10 @@ This tutorial presents `R` code for the preparation of field inventory and ALS d
 * 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/R/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)**,
-* datasets required to run the source code are also available on the repository.
-
 Change log
 
-* April 6, 2023: checked with new version of `lidaRtRee`
++ Dec 21, 2023: moved to [https://forgemia.inra.fr/lidar/lidaRtRee](https://forgemia.inra.fr/lidar/lidaRtRee)
++ April 6, 2023: checked with new version of `lidaRtRee`
 + July 19, 2022: checked with new version of `lidaRtRee`
 + May 24, 2022: switch to `terra` and `sf` to comply with new version of `lidR` and `lidaRtRee`
 + Dec. 27, 2021: checked field data