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Merge pull request #3391 from infotroph/relicense-utils-biocro
Update license for PEcAn.utils and PEcAn.BIOCRO
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University of Illinois/NCSA Open Source License | ||
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Copyright (c) 2012, University of Illinois, NCSA. All rights reserved. | ||
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Permission is hereby granted, free of charge, to any person obtaining | ||
a copy of this software and associated documentation files (the | ||
"Software"), to deal with the Software without restriction, including | ||
without limitation the rights to use, copy, modify, merge, publish, | ||
distribute, sublicense, and/or sell copies of the Software, and to | ||
permit persons to whom the Software is furnished to do so, subject to | ||
the following conditions: | ||
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- Redistributions of source code must retain the above copyright | ||
notice, this list of conditions and the following disclaimers. | ||
- Redistributions in binary form must reproduce the above copyright | ||
notice, this list of conditions and the following disclaimers in the | ||
documentation and/or other materials provided with the distribution. | ||
- Neither the names of University of Illinois, NCSA, nor the names | ||
of its contributors may be used to endorse or promote products | ||
derived from this Software without specific prior written permission. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, | ||
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF | ||
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. | ||
IN NO EVENT SHALL THE CONTRIBUTORS OR COPYRIGHT HOLDERS BE LIABLE FOR | ||
ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF | ||
CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION | ||
WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS WITH THE SOFTWARE. | ||
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YEAR: 2024 | ||
COPYRIGHT HOLDER: PEcAn Project | ||
ORGANIZATION: PEcAn Project, authors affiliations |
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#------------------------------------------------------------------------------- | ||
# Copyright (c) 2012 University of Illinois, NCSA. | ||
# All rights reserved. This program and the accompanying materials | ||
# are made available under the terms of the | ||
# University of Illinois/NCSA Open Source License | ||
# which accompanies this distribution, and is available at | ||
# http://opensource.ncsa.illinois.edu/license.html | ||
#------------------------------------------------------------------------------- | ||
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##' R package to support PEcAn, the Predictive Ecosystem Analyzer | ||
##' | ||
##' Instructions for the use of this package are provided in the project documentation \url{https://pecanproject.github.io/documentation.html}. | ||
##' | ||
##' Project homepage: \url{pecanproject.org} | ||
##' | ||
##' Description of PEcAn | ||
##' | ||
##' The Predictive Ecosystem Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PEcAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation. PEcAn is an open source utility that encapsulates: | ||
##' | ||
##' 1. acquisition of meteorological inputs | ||
##' 2. synthesis of physiological trait data as the posterior distribution of a Bayesian meta-analysis | ||
##' 3. sampling trait meta-analysis posterior distributions to parameterize ensembles of ED2 and other ecophysiological models | ||
##' 4. probabilistic forecasts | ||
##' 5. postprocessing to constrain forecasts and model parameters with field, meterological, eddy flux, and spectral data, and | ||
##' 6. provenance tracking | ||
##' | ||
##' PECAn integrates available data into ecological forecasts by running ensembles of a terrestrial ecosystem model that is parameterized by the posterior distribution from a meta-analysis of available plant trait data. | ||
##' These trait data are assembled from field research and primary literature, and are stored in a PostgreSQL database. Current development focused on biofuel crops uses BETYdb. | ||
##' In addition to generating forecasts that reflect available data, PEcAn quantifies the contribution of each parameter to model uncertainty. | ||
##' This information informs targeted data collection and synthesis efforts that most efficiently reduce forecast uncertainty. | ||
##' | ||
##' Current development is focused on developing PEcAn into a real-time data assimilation and forecasting system. This system will provide a detailed analysis of the past and present ecosystem functioning that seamlessly transitions into forecasts. | ||
##' | ||
##' @name PEcAn | ||
##' @aliases PECAn pecan package-pecan | ||
#' R package to support PEcAn, the Predictive Ecosystem Analyzer | ||
#' | ||
#' Instructions for the use of this package are provided in the project | ||
#' documentation \url{https://pecanproject.github.io/documentation.html}. | ||
#' | ||
#' Project homepage: \url{pecanproject.org} | ||
#' | ||
#' Description of PEcAn | ||
#' | ||
#' The Predictive Ecosystem Analyzer (PEcAn) is a scientific workflow management | ||
#' tool that is designed to simplify the management of model parameterization, | ||
#' execution, and analysis. The goal of PEcAn is to streamline the interaction | ||
#' between data and models, and to improve the efficacy of scientific | ||
#' investigation. PEcAn is an open source utility that encapsulates: | ||
#' | ||
#' 1. acquisition of meteorological inputs | ||
#' 2. synthesis of physiological trait data as the posterior distribution of a | ||
#' Bayesian meta-analysis | ||
#' 3. sampling trait meta-analysis posterior distributions to parameterize | ||
#' ensembles of ED2 and other ecophysiological models | ||
#' 4. probabilistic forecasts | ||
#' 5. postprocessing to constrain forecasts and model parameters with field, | ||
#' meterological, eddy flux, and spectral data, and | ||
#' 6. provenance tracking | ||
#' | ||
#' PECAn integrates available data into ecological forecasts by running | ||
#' ensembles of a terrestrial ecosystem model that is parameterized by the | ||
#' posterior distribution from a meta-analysis of available plant trait data. | ||
#' These trait data are assembled from field research and primary literature, | ||
#' and are stored in a PostgreSQL database. Current development focused on | ||
#' biofuel crops uses BETYdb. In addition to generating forecasts that reflect | ||
#' available data, PEcAn quantifies the contribution of each parameter to model | ||
#' uncertainty. This information informs targeted data collection and synthesis | ||
#' efforts that most efficiently reduce forecast uncertainty. | ||
#' | ||
#' Current development is focused on developing PEcAn into a real-time data | ||
#' assimilation and forecasting system. This system will provide a detailed | ||
#' analysis of the past and present ecosystem functioning that seamlessly | ||
#' transitions into forecasts. | ||
#' | ||
#' @name PEcAn | ||
#' @aliases PECAn pecan package-pecan | ||
"_PACKAGE" |
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