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General Purpose Client for 'ERDDAP™' Servers
General purpose R client for 'ERDDAP™' servers. Includes functions to search for 'datasets', get summary information on 'datasets', and fetch 'datasets', in either 'csv' or 'netCDF' format. 'ERDDAP™' information: < https://upwell.pfeg.noaa.gov/erddap/information.html>.
Seasonal to Decadal Verification
An advanced version of package 's2dverification'. Intended for
seasonal to decadal (s2d) climate forecast verification, but also applicable
to other types of forecasts or general climate analysis. This package is
specifically designed for comparing experimental and observational datasets.
It provides functionality for data retrieval, post-processing, skill score
computation against observations, and visualization. Compared to
's2dverification', 's2dv' is more compatible with the package 'startR', able
to use multiple cores for computation and handle multi-dimensional arrays
with a higher flexibility. The Climate Data Operators (CDO) version used in
development is 1.9.8. Implements methods described in Wilks (2011)
Standard Normal Homogeneity Test
Implementation of robust and non-robust Standard Normal Homogeneity Test (SNHT) for changepoint detection. This test statistic is equal sided, as proposed in "Homogenization of Radiosonde Temperature Time Series Using Innovation Statistics" by Haimberger, L., 2007. However, the statistic contains an estimate of sigma^2 in the denominator instead of sigma, which seems to be a more appropriate value (based on the paper "Homogenization of Swedish temperature data. Part I: Homogeneity test for linear trends." by Alexandersson, H., and A. Moberg, 1997).
Tests for Variance Homogeneity
Performs 18 omnibus tests yielding a total of 28 distinct methodological variations for testing the composite hypothesis of variance homogeneity.
Homogeneity of Stratum Effects Test
To test the homogeneity of stratum effects in stratified paired binary data.
Climate Exposure Relative to a Species' Climatic Niche
Quantifies projected climatic change relative to the climatic niche represented by a species' current distribution. A weighted current reference defines the niche centre and empirical radial boundary. Present and projected conditions at each location give local climatic displacement, signed change in niche distance, a derived non-radial reconfiguration term, and exceedance beyond the niche boundary. Occurrence records, range maps, and binary or continuous species distribution model outputs can define reference weights. Matrix and spatial workflows return location-level values, weighted summaries, maps and climatic-variable contributions.
Estimating Climate Stability from Climate Model Data
Climate stability measures are not formalized in the literature and
tools for generating stability metrics from existing data are nascent.
This package provides tools for calculating climate stability from raster data
encapsulating climate change as a series of time slices. The methods follow
Owens and Guralnick
Climate Change Metrics
A framework that facilitates spatio-temporal analysis of climate dynamics through exploring and measuring different dimensions of climate change in space and time.
Homogenous Segmentation for Spatial Lines Data
Methods of homogenous segmentation for spatial lines data, such as pavement performance indicators and traffic volumes. Three methods are available for homogenous segmentation, including cumulative difference approach, minimization coefficient of variation, and spatial heterogeneity based method.
Post-Processing of Climate Data for Health Applications
Obtain, transform and export climate data including reanalyses,
(seasonal) forecasts and hindcasts, and weather stations for their use
in epidemiological analyses. It is organised in three sequential blocks,
input (download and load data), transform (downscaling, verification,
spatiotemporal aggregation and threshold-based indicators) and output
(visualising and exporting data). The methods included in the package
are described in Ball et al. (2026)