23  References

Allaire, J. J., Charles Teague, Carlos Scheidegger, Yihui Xie, and Christophe Dervieux. 2022. Quarto.” https://doi.org/10.5281/zenodo.5960048.
Allaire, JJ. 2022. Quarto: R Interface to Quarto Markdown Publishing System. https://github.com/quarto-dev/quarto-r.
Aphalo, Pedro J. 2022. Ggpmisc: Miscellaneous Extensions to Ggplot2. https://docs.r4photobiology.info/ggpmisc/.
———. 2023. Ggpp: Grammar Extensions to Ggplot2. https://docs.r4photobiology.info/ggpp/.
Asner, Gregory P, Philip G Brodrick, Christopher Philipson, Nicolas R Vaughn, Roberta E Martin, David E Knapp, Joseph Heckler, et al. 2018. “Mapped Aboveground Carbon Stocks to Advance Forest Conservation and Recovery in Malaysian Borneo.” Biological Conservation 217: 289–310.
Aybar, Cesar, Quisheng Wu, Lesly Bautista, Roy Yali, and Antony Barja. 2020. “Rgee: An r Package for Interacting with Google Earth Engine.” Journal of Open Source Software.
Bengtsson, Henrik. 2021. “A Unifying Framework for Parallel and Distributed Processing in r Using Futures.” The R Journal 13 (2): 208–27. https://doi.org/10.32614/RJ-2021-048.
———. 2023. Future: Unified Parallel and Distributed Processing in r for Everyone. https://future.futureverse.org.
Binder, Martin, Florian Pfisterer, Michel Lang, Lennart Schneider, Lars Kotthoff, and Bernd Bischl. 2021. mlr3pipelines - Flexible Machine Learning Pipelines in r.” Journal of Machine Learning Research 22 (184): 1–7. https://jmlr.org/papers/v22/21-0281.html.
Birk, Matthew A. 2019. Measurements: Tools for Units of Measurement. https://CRAN.R-project.org/package=measurements.
Chave, Jerome, David Coomes, Steven Jansen, Simon L. Lewis, Nathan G. Swenson, and Amy E. Zanne. 2009. “Towards a Worldwide Wood Economics Spectrum.” Ecology Letters 12 (4): 351–66. https://doi.org/10.1111/j.1461-0248.2009.01285.x.
Chave, Jérôme, Maxime Réjou-Méchain, Alberto Búrquez, Emmanuel Chidumayo, Matthew S. Colgan, Welington B. C. Delitti, Alvaro Duque, et al. 2014. “Improved Allometric Models to Estimate the Aboveground Biomass of Tropical Trees.” Global Change Biology 20 (10): 3177–90. https://doi.org/10.1111/gcb.12629.
Crippen, R., S. Buckley, P. Agram, E. Belz, E. Gurrola, S. Hensley, M. Kobrick, et al. 2016. “NASADEM GLOBAL ELEVATION MODEL: METHODS AND PROGRESS.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4: 125–28. https://doi.org/10.5194/isprs-archives-XLI-B4-125-2016.
Daniel Baston. 2022. Exactextractr: Fast Extraction from Raster Datasets Using Polygons. https://isciences.gitlab.io/exactextractr/.
David Montero, Miguel D. Mahecha, Cesar Aybar. 2022. “Spectral: Awesome Spectral Indices Deployed via the Google Earth Engine JavaScript API.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022: 301–6. https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-301-2022.
Dowle, Matt, and Arun Srinivasan. 2022. Data.table: Extension of ‘Data.frame‘. https://r-datatable.com.
Garnier, Simon. 2021. Viridis: Colorblind-Friendly Color Maps for r. https://sjmgarnier.github.io/viridis/.
———. 2022. viridisLite: Colorblind-Friendly Color Maps (Lite Version). https://sjmgarnier.github.io/viridisLite/.
Gorelick, Noel, Matt Hancher, Mike Dixon, Simon Ilyushchenko, David Thau, and Rebecca Moore. 2017. “Google Earth Engine: Planetary-Scale Geospatial Analysis for Everyone.” Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2017.06.031.
Graham, Hugh. 2024a. Demsrc: Get Remote URLs for Remote Digital Elevation Model (DEM) Collections. https://github.com/permian-global-research/demsrc/.
———. 2024b. Ezwarp: A Utility Tool for Working with Gdal Warp in r. https://github.com/Permian-Global-Research/ezwarp.
Hijmans, Robert J. 2023. Terra: Spatial Data Analysis. https://rspatial.org/.
Hope, Ryan M. 2022. Rmisc: Ryan Miscellaneous. https://CRAN.R-project.org/package=Rmisc.
Iannone, Richard, Joe Cheng, Barret Schloerke, Ellis Hughes, and JooYoung Seo. 2022. Gt: Easily Create Presentation-Ready Display Tables. https://gt.rstudio.com/.
Jucker, T., G. P. Asner, M. Dalponte, P. G. Brodrick, C. D. Philipson, N. R. Vaughn, Y. A. Teh, et al. 2018. “Estimating Aboveground Carbon Density and Its Uncertainty in Borneo’s Structurally Complex Tropical Forests Using Airborne Laser Scanning.” Biogeosciences 15 (12): 3811–30. https://doi.org/10.5194/bg-15-3811-2018.
Kay, Matthew. 2023. Ggdist: Visualizations of Distributions and Uncertainty. https://mjskay.github.io/ggdist/.
Landau, William Michael. 2021a. Tarchetypes: Archetypes for Targets.
———. 2021b. “The Targets r Package: A Dynamic Make-Like Function-Oriented Pipeline Toolkit for Reproducibility and High-Performance Computing.” Journal of Open Source Software 6 (57): 2959. https://doi.org/10.21105/joss.02959.
———. 2024a. Tarchetypes: Archetypes for Targets. https://docs.ropensci.org/tarchetypes/.
———. 2024b. Targets: Dynamic Function-Oriented Make-Like Declarative Pipelines. https://docs.ropensci.org/targets/.
Lang, Michel, Martin Binder, Jakob Richter, Patrick Schratz, Florian Pfisterer, Stefan Coors, Quay Au, Giuseppe Casalicchio, Lars Kotthoff, and Bernd Bischl. 2019. mlr3: A Modern Object-Oriented Machine Learning Framework in R.” Journal of Open Source Software, December. https://doi.org/10.21105/joss.01903.
Mahmud, Siti Zalifah, Rokiah Hashim, Abdul Hamid Saleh, Othman Sulaiman, Nur Izzaati Saharudin, Mohamad Lokmal Ngah, Khairul Masseat, and Hamdan Husain. 2017. “Physical and Mechanical Properties of Juvenile Wood from Neolamarckia Cadamba Planted in West Malaysia.” Maderas. Ciencia y Tecnología 19 (2): 225–38. https://doi.org/10.4067/S0718-221X2017005000020.
Martin, Adam R, and Sean C Thomas. 2011. “A Reassessment of Carbon Content in Tropical Trees.” PloS One 6 (8): e23533.
Müller, Kirill. 2020. Here: A Simpler Way to Find Your Files. https://here.r-lib.org/.
Mullissa, Adugna, Andreas Vollrath, Christelle Odongo-Braun, Bart Slagter, Johannes Balling, Yaqing Gou, Noel Gorelick, and Johannes Reiche. 2021. “Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine.” Remote Sensing 13 (10). https://doi.org/10.3390/rs13101954.
Neteler, Markus, Julia Haas, and Markus Metz. 2022. Copernicus Digital Elevation Model (DEM) for Europe at 100 meter resolution (EU-LAEA) derived from Copernicus Global 30 meter DEM dataset.” Zenodo. https://doi.org/10.5281/zenodo.6211990.
Pebesma, Edzer. 2018. Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal 10 (1): 439–46. https://doi.org/10.32614/RJ-2018-009.
———. 2023. Sf: Simple Features for r. https://r-spatial.github.io/sf/.
Pebesma, Edzer, and Roger Bivand. 2023. Spatial Data Science: With applications in R. Chapman and Hall/CRC. https://r-spatial.org/book/.
Pebesma, Edzer, Thomas Mailund, and James Hiebert. 2016. “Measurement Units in R.” R Journal 8 (2): 486–94. https://doi.org/10.32614/RJ-2016-061.
Pebesma, Edzer, Thomas Mailund, Tomasz Kalinowski, and Iñaki Ucar. 2023. Units: Measurement Units for r Vectors. https://r-quantities.github.io/units/.
Pedersen, Thomas Lin. 2024. Patchwork: The Composer of Plots. https://patchwork.data-imaginist.com.
Pedersen, Thomas Lin, and Fabio Crameri. 2022. Scico: Colour Palettes Based on the Scientific Colour-Maps. https://github.com/thomasp85/scico.
Pinard, Michelle A., and Francis E. Putz. 1996. “Retaining Forest Biomass by Reducing Logging Damage.” Biotropica 28 (3): 278–95. https://doi.org/10.2307/2389193.
Polley, Eric C, and Mark J Van der Laan. 2010. “Super Learner in Prediction.”
R Core Team. 2023. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Rejou-Mechain, Maxime, Ariane Tanguy, Camille Piponiot, Jerome Chave, and Bruno Herault. 2017. “BIOMASS : An R Package for Estimating Above-Ground Biomass and Its Uncertainty in Tropical Forests.” Edited by Sarah Goslee. Methods in Ecology and Evolution 8 (9). https://doi.org/10.1111/2041-210X.12753.
Réjou-Méchain, Maxime, Guillaume Cornu, Dominique Lamonica, Arthur Pere, Ariane Tanguy, Camille Piponiot, and Bruno Hérault. 2023. BIOMASS: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests. https://github.com/umr-amap/BIOMASS.
Réjou-Méchain, Maxime, Ariane Tanguy, Camille Piponiot, Jérôme Chave, and Bruno Hérault. 2017. “Biomass: An r Package for Estimating Above-Ground Biomass and Its Uncertainty in Tropical Forests.” Methods in Ecology and Evolution 8 (9): 1163–67. https://doi.org/10.1111/2041-210X.12753.
Requena Suarez, Daniela, Danaë M. A. Rozendaal, Veronique De Sy, Oliver L. Phillips, Esteban Alvarez‐Dávila, Kristina Anderson‐Teixeira, Alejandro Araujo‐Murakami, et al. 2019. “Estimating Aboveground Net Biomass Change for Tropical and Subtropical Forests: Refinement of IPCC Default Rates Using Forest Plot Data.” Global Change Biology 25 (11): 3609–24. https://doi.org/10.1111/gcb.14767.
Reynolds, Glen, Junaidi Payne, Waidi Sinun, Gregory Mosigil, and Rory P. D. Walsh. 2011. “Changes in Forest Land Use and Management in Sabah, Malaysian Borneo, 1990–2010, with a Focus on the Danum Valley Region.” Philosophical Transactions of the Royal Society B: Biological Sciences 366 (1582): 3168–76. https://doi.org/10.1098/rstb.2011.0154.
Sarkar, Deepayan. 2008. Lattice: Multivariate Data Visualization with r. New York: Springer. http://lmdvr.r-forge.r-project.org.
———. 2023. Lattice: Trellis Graphics for r. https://lattice.r-forge.r-project.org/.
Schratz, Patrick, and Marc Becker. 2022. Mlr3spatiotempcv: Spatiotemporal Resampling Methods for ’Mlr3’. https://CRAN.R-project.org/package=mlr3spatiotempcv.
Tennekes, Martijn. 2018. tmap: Thematic Maps in R.” Journal of Statistical Software 84 (6): 1–39. https://doi.org/10.18637/jss.v084.i06.
———. 2022. Tmap: Thematic Maps. https://github.com/r-tmap/tmap.
Teucher, Andy, and Kenton Russell. 2022. Rmapshaper: Client for Mapshaper for Geospatial Operations. https://github.com/ateucher/rmapshaper.
Vaughan, Davis, and Matt Dancho. 2022. Furrr: Apply Mapping Functions in Parallel Using Futures. https://github.com/DavisVaughan/furrr.
Wickham, Hadley. 2011. “The Split-Apply-Combine Strategy for Data Analysis.” Journal of Statistical Software 40 (1): 1–29. https://www.jstatsoft.org/v40/i01/.
———. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org.
———. 2022a. Plyr: Tools for Splitting, Applying and Combining Data. http://had.co.nz/plyr.
———. 2022b. Stringr: Simple, Consistent Wrappers for Common String Operations. https://stringr.tidyverse.org.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2023. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://ggplot2.tidyverse.org.
Wickham, Hadley, Romain François, Lionel Henry, Kirill Müller, and Davis Vaughan. 2023. Dplyr: A Grammar of Data Manipulation. https://dplyr.tidyverse.org.
Wickham, Hadley, and Lionel Henry. 2023. Purrr: Functional Programming Tools. https://purrr.tidyverse.org/.
Wickham, Hadley, Jim Hester, and Jennifer Bryan. 2023. Readr: Read Rectangular Text Data. https://readr.tidyverse.org.
Wickham, Hadley, Davis Vaughan, and Maximilian Girlich. 2023. Tidyr: Tidy Messy Data. https://tidyr.tidyverse.org.
Wilke, Claus O., and Brenton M. Wiernik. 2022. Ggtext: Improved Text Rendering Support for Ggplot2. https://wilkelab.org/ggtext/.
Xie, Yihui. 2014. “Knitr: A Comprehensive Tool for Reproducible Research in R.” In Implementing Reproducible Computational Research, edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman; Hall/CRC.
———. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.org/knitr/.
———. 2024. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.
Yahya, Ahmad Zuhaidi, and Albert Ikau. 2015. “REFORESTATION WITH NATURALLY REGENERATED TREES AND SELECTED FOREST PLANTATION SPECIES BASED ON MOSAIC PLANTING APPROACH.” https://ijafp.org/wp-content/uploads/2016/03/KLIAFP2_69.pdf.
Zanne, AE, GDAC Lopez-Gonzalez, J Ilic, et al. 2009. “Global Wood Density Database. Dryad Digital Repository; 2009.”