Package: novelforestSG 2.1.0

novelforestSG: Dataset from the Novel Forests of Singapore

The raw dataset and model used in Lai et al. (2021) Decoupled responses of native and exotic tree diversities to distance from old-growth forest and soil phosphorous in novel secondary forests. Applied Vegetation Science, 24, e12548.

Authors:Hao Ran Lai [aut, cre], Kwek Yan Chong [aut], Alex Thiam Koon Yee [aut], Germaine Su Yin Tan [ctb], Louise Neo [ctb], Carmen Yingxin Kee [ctb], Hugh Tiang Wah Tan [ths]

novelforestSG_2.1.0.tar.gz
novelforestSG_2.1.0.zip(r-4.5)novelforestSG_2.1.0.zip(r-4.4)novelforestSG_2.1.0.zip(r-4.3)
novelforestSG_2.1.0.tgz(r-4.4-any)novelforestSG_2.1.0.tgz(r-4.3-any)
novelforestSG_2.1.0.tar.gz(r-4.5-noble)novelforestSG_2.1.0.tar.gz(r-4.4-noble)
novelforestSG_2.1.0.tgz(r-4.4-emscripten)novelforestSG_2.1.0.tgz(r-4.3-emscripten)
novelforestSG.pdf |novelforestSG.html✨
novelforestSG/json (API)
NEWS

# Install 'novelforestSG' in R:
install.packages('novelforestSG', repos = c('https://hrlai.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/hrlai/novelforestsg/issues

Datasets:

On CRAN:

datadiversityecologyforestsingapore

3.60 score 2 stars 2 scripts 198 downloads 1 exports 0 dependencies

Last updated 10 months agofrom:e323d490b9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winOKNov 10 2024
R-4.4-macOKNov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macOKNov 10 2024

Exports:download_model

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Download Model Fitted to 'novelforest_data'download_model
Novel Forest Raw Datasetnovelforest_data
novelforestSGnovelforestSG-package novelforestSG