Applied ecology
ENV-422
Practical resources for the fieldwork and report
This page is part of the content downloaded from Practical resources for the fieldwork and report on Sunday, 25 January 2026, 03:30. Note that some content and any files larger than 50 MB are not downloaded.
Description
Here you find R codes for data analysis and visualization.
Files and subfolders
- Datasheet for fieldwork.xlsx
- Emberger_et al_2023_IBP.pdf
- Gosselin__Larrieu_IBP_observer_effect_method_EI_2020.pdf
- IBP BD v231001.t1.xlsm
- IBP def EUR.MED v3 en 231001.pdf
- IBP rel EUR.MED v3.0 en_231001.pdf
- Larrieu et al._indirect_indicators_EI_2019.pdf
- Zeller et al_IBP_Calibration_EI_2022.pdf
- Shannon index.pdf
- BiomassEquationsforCastaneasativaHighForestintheNorthwestof.pdf
- forests-11-01136-v2.pdf
- Fradette_et_al_Forests_2021.pdf
- Become familiar with TreMs.pdf
- LAI 2200C Protocol.pdf
- Manual pH meter.pdf
- hun362te-2.pdf
- Basic statistics in R.pdf
- Introduction to R 2022.R
- Introduction to R solution of tasks 2022.R
- Introduction to R tasks 2022.R
- R_basic_statistics_tasks.R
- R_basic_stats.R
- Session 4 Part 1 Intro to R.pdf
- Visualisation R 2022.R
- Visualization on R_solution to the tasks_2022.R
- Visualization on R_tasks_2022.R
- Ecology Letters - 2017 - Plas - Continental mapping of forest ecosystem functions reveals a high but unrealised potential.pdf
- pnas.1517903113.pdf
- rsbl.2017.0747.pdf
- s10342-017-1056-1.pdf
- science.aaf8957.pdf