The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

To cite phenoCDM in publications, please cite both the method and science papers and also the R package in Zenodo:

Seyednasrollah B, Swenson JJ, Domec J, Clark JS (2018). “Leaf phenology paradox: Why warming matters most where it is already warm .” Remote Sensing of Environment , 209, 446 - 455. ISSN 0034-4257, doi:10.1016/j.rse.2018.02.059, https://www.sciencedirect.com/science/article/pii/S0034425718300713.

Seyednasrollah B, Swenson JJ, Domec J, Clark JS (2018). “Continuous development model for incremental time-series analysis: applications on leaf phenology.” MethodsX.

Seyednasrollah B, Swenson JJ, Domec J, Clark JS (2018). phenoCDM: Continuous Development Models for Incremental Time-Series Analysis. http://doi.org/10.5281/zenodo.1204709.

Corresponding BibTeX entries:

  @Article{,
    author = {Bijan Seyednasrollah and Jennifer J. Swenson and
      Jean-Christophe Domec and James S. Clark},
    title = {Leaf phenology paradox: Why warming matters most where it
      is already warm },
    journal = {Remote Sensing of Environment },
    volume = {209},
    pages = {446 - 455},
    year = {2018},
    issn = {0034-4257},
    doi = {10.1016/j.rse.2018.02.059},
    url =
      {https://www.sciencedirect.com/science/article/pii/S0034425718300713},
  }
  @Article{,
    author = {Bijan Seyednasrollah and Jennifer J. Swenson and
      Jean-Christophe Domec and James S. Clark},
    title = {Continuous development model for incremental time-series
      analysis: applications on leaf phenology},
    publisher = {Elsevier},
    journal = {MethodsX},
    year = {2018},
  }
  @Manual{,
    author = {Bijan Seyednasrollah and Jennifer J. Swenson and
      Jean-Christophe Domec and James S. Clark},
    title = {phenoCDM: Continuous Development Models for Incremental
      Time-Series Analysis},
    year = {2018},
    url = {http://doi.org/10.5281/zenodo.1204709},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.