Package: spphpr 0.1.4

Peijian Shi

spphpr: Spring Phenological Prediction

Predicts the occurrence times (in day of year) of spring phenological events. Three methods, including the accumulated degree days (ADD) method, the accumulated days transferred to a standardized temperature (ADTS) method, and the accumulated developmental progress (ADP) method, were used. See Shi et al. (2017a) <doi:10.1016/j.agrformet.2017.04.001> and Shi et al. (2017b) <doi:10.1093/aesa/sax063> for details.

Authors:Peijian Shi [aut, cre], Zhenghong Chen [aut], Brady K. Quinn [aut]

spphpr_0.1.4.tar.gz
spphpr_0.1.4.tar.gz(r-4.5-noble)spphpr_0.1.4.tar.gz(r-4.4-noble)
spphpr_0.1.4.tgz(r-4.4-emscripten)spphpr_0.1.4.tgz(r-4.3-emscripten)
spphpr.pdf |spphpr.html
spphpr/json (API)

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

Peer review:

Datasets:
  • BJMDT - Mean Daily Temperature Data of Beijing from 1951 to 2012 with the exception of 1968.
  • apricotFFD - First flowering date records of _Prunus armeniaca_

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 exports 0 dependencies

Last updated 12 days agofrom:b088c3ef25. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 13 2024
R-4.5-linuxOKDec 13 2024

Exports:ADDADPADTSpredADDpredADPpredADTStoDOY

Dependencies: