RMAWGEN-package(RMAWGEN)
RMAWGEN-package()所属R语言包：RMAWGEN
R - Multi-site Autoregressive WEather Generator
R - 多站点自回归天气发生器
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Multi-site autoregressive Models for Daily Weather Generation. The modeling in climate change applications for agricultural or hydrological purposes often requires daily time-series of precipitation and temperature. This is the case of downscaled series from monthly or seasonal predictions of Global Climate Models (GCMs). The R package RMAWGEN (R Multi-Sites Auto regressive Weather GENerator) is built to generate daily temperature and precipitation time series in several sites by using the theory of vectorial auto-#regressive models (VAR). The VAR model is used because it is able to maintain the temporal and spatial correlations among the several series. In particular, observed time series of daily maximum and minimum temperature and precipitation are used to calibrate the parameters of a VAR model (saved as ”GPCAvarest2” or ”varest2” classes, which inherit the "varest" S3 class defined in the package vars [Pfaff, 2008]). Therefore the VAR model, coupled with monthly mean weather variables downscaled by GCM predictions, allows to generate several stochastic daily scenarios. The structure of the package consists in functions that transform precipitation and temperature time series into Gaussian-distributed random variables through deseasonalization and Principal Component Analysis. Then a VAR model is calibrated on transformed time series. The time series generated by VAR are then inversely re transformed into precipitation and/or temperature series. An application dateset is included in the RMAWGEN package as an example; it is presented by using a dataset with daily weather time series recorded in 59 different sites of Trentino (Italy) and its neighborhoods for the period 1958-2007. The software is distributed as a Free Software with General Public License (GPL) and is available on CRAN website. (http://cran.r-project.org/web/packages/RMAWGEN/index.html) . A presentation of the package is available on https://docs.google.com/file/d/0B8xDtMCnW3dJU2JIemVqMnpKTHc/edit.
多站点自回归模型生成每日天气。农业或水文模型在气候变化中的应用，往往需要每天的降水和气温的时间序列。这是每月或季节性的全球气候模型的预测（GCMS）的情况下，降尺度系列。的R的包RMAWGEN（R多站点自动回归天气发生器）是建立在几个网站的日平均气温和降水时间序列使用向量自＃回归模型（VAR）的理论。 VAR模型的使用，因为它是能够维持几个系列的时间和空间相关性。特别是，日最高和最低气温和降水观测到的时间序列，用于校准的VAR模型的参数（保存为“GPCAvarest2”或“varest2”的类，继承“varest的”S3中定义的类包瓦尔[百福，2008]）。因此，再加上每月的平均GCM预测的降尺度的天气变量VAR模型，可以生成多个随机的日常情景。的封装结构，包括功能，改变降水和温度时间序列为高斯分布的随机变量通过deseasonalization和主成分分析。然后，一个VAR模型的校准变换的时间序列。通过VAR产生的时间序列，然后逆重新转化成沉淀和/或温度序列。被包括在一个应用程序dateset的RMAWGEN包作为一个例子，它是通过使用记录在59个不同位点的期间一九五八年至二零零七年特伦蒂诺（意大利）和它的邻里每日天气时间序列的数据集。此软体的作为与通用公共许可证（GPL）的自由软件和是CRAN网站上提供的。 （http://cran.r-project.org/web/packages/RMAWGEN/index.html）。的演示文稿的包是可在https://docs.google.com/file/d/0B8xDtMCnW3dJU2JIemVqMnpKTHc/edit。
Details
详细信息----------Details----------
注意----------Note----------
RMAWGEN has been created in the frame of ACE-SAP (http://www.ace-sap.it/) and ENVIROCHANGE (http://www.envirochange.eu/) projects funded by Provincia Autonoma di Trento (http://www.provincia.tn.it/).
RMAWGEN已创建的框架ACE-的SAP（http://www.ace-sap.it/）和ENVIROCHANGE（http://www.envirochange.eu/）的项目，由二特伦托自治省报（呻/ www.provincia.tn.it/）。
RMAWGEN is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
RMAWGEN是自由软件：您可以重新分配和/或修改它由自由软件基金会发布的GNU通用公共许可证的条款下，无论是第3版的许可证，或（由你选择）任何更新的版本。
RMAWGEN is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
分布在RMAWGEN的希望，这将是有用的，但没有任何担保，甚至没有隐含的担保，适销性或针对特定用途的。有关详细信息，请参阅GNU通用公共许可证。
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
您应该已经收到随着本程序的GNU通用公共许可证的副本。如果没有看到http://www.gnu.org/licenses/。
（作者）----------Author(s)----------
Emanuele Cordano <a href="mailto:emanuele.cordano@gmail.org">emanuele.cordano@gmail.org</a>,
Emanuele Eccel <a href="mailto:emanuele.eccel@iasma.it">emanuele.eccel@iasma.it</a>
参考文献----------References----------
Implementation Within R Package vars. Journal of Statistical Software 27(4). http://www.jstatsoft.org/v27/i04/
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
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发表于 2012-9-26 23:54:26
