evalHomogeneity-methods

evalHomogeneity,dataclim-method

evalHomogeneity,data.frame-method


  Homogeneity and quality labels for temperature and precipitation
  observation series


methods

test

The package offers an S4 infrastructure to store climatological
station data of various temporal aggregation scales. In-built quality
control and homogeneity tests follow the methodology from the European
Climate Assessment & Dataset project. Wrappers for climate indices
defined by the Expert Team on Climate Change Detection and Indices
(ETCCDI), a quick summary of important climate statistics and climate
diagram plots provide a fast overview of climatological
characteristics of the station.

Boris Orlowsky

iki.dataclim

Consistency, Homogeneity and Summary Statistics of
Climatological Data

evalHomogeneity-methods function

<dl> <dt><code>signature(X = "dataclim")</code></dt><dd>
  This function classifies annual temperature and precipitation series
  as "useful", "doubtful" or "suspect" based on 4 homogeneity tests.
  It follows the  Algorithm Theoretical Basis Document (ATBD) of the
  European Climate Assessment & Dataset project (ECA&D), hosted by the
  Dutch meteorological service KNMI. 
</dd> <dt><code>signature(X = "data.frame")</code></dt><dd>
  As above, but for a <code>data.frame</code> input. Column(s) are supposed to
  contain equidistant observations. NAs are not allowed. nrow(X) >= 20
  is required.
</dd> </dl>

evalHomogeneity-methods: Methods for Function `evalHomogeneity`

Description

Arguments

Methods