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现介绍一个百度检索未见踪影的气候统计R语言程序,它是一个用于气候均一性分析与风玫瑰图制作的R包,现传上软件与英文使用方法与数据。
据主页介绍:
CLIMATOL is a contributed R package holding functions for climatological series homogenization, plus a couple of functions to plot wind-roses and Walter&Lieth diagrams.
CLIMATOL is a contributed R package holding functions for climatological series homogenization, plus a couple of functions to plot wind-roses and Walter&Lieth diagrams.
It is distributed under the GPL license (version 2 or newer).
The 2.x version series released in 2011 implements a function for a completely automatic homogenization of a climatological dataset, including missing data filling and detection/correction of outliers and shifts in the means of the series. Trends are diagnosed but not corrected. (Many functions of the old package have been removed or re-written, so do not expect backwards compatibility).
This 2.1 version corrects a bug in the post-processing function dahstat that computed the trends for the whole study period irrespective of that specified by the user. More importantly, the 2.0 version did not corrected the inhomogeneous series with enough precission, and that made the trends of the homogenized series to be much reduced.
Before actually trying the software, potential users may want to look at the climatol guide, to see if it can meet their requirements. Most examples can be run with the data files included in this archive, which should be uncompressed in your R working directory.
现摘录使用手册的第一部分内容如下:
Foreword
The “Climatol” R contributed package is mostly devoted to the problem of homogenizing climatological
series, that is to say, remove the perturbations produced by changes in the conditions of observation or in the nearby environment to allow the series to reflect only (as far as possible)the climatic variations.
The R standard documentation of the package provides descriptions of the functions and their
parameters, and users should refer to it whenever needed. This guide, on the other hand, has
been written as a complement, trying to focus more on explaining the methodology underlying
the algorithms of the package, how to call its functions, and how to interpret and use their
results.
This guide is structured in two parts: a Quick start (in the following few pages) for those
anxious to begin homogenizing their data, and an Extended guide where the different aspects of
the package are treated more thoroughly.
Most examples of this guide can be reproduced with data files contained in climatol-dat.zip,
downloadable from http://webs.ono.com/climatol/climatol-dat.zip, which contains real series
from a Mediterranean area, although the names and coordinates of the stations are fictitious.
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