ABA-mapping-and-inference.md

-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:
+This workflow is now on [https://lidar.pages.mia.inra.fr/lidaRtRee/articles/area-based.3.mapping.and.inference.html](https://lidar.pages.mia.inra.fr/lidaRtRee/articles/area-based.3.mapping.and.inference.html)
 
-* [Rmarkdown source](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/R/area-based.3.mapping.and.inference.Rmd),
-* **[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)**,
-* datasets required to run the source code are also available on the repository and on [google drive](https://drive.google.com/u/0/uc?export=download&id=1ripo-PLZ8_IjE7rAQ2RECj-fjg1UpC5i).
+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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