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rerddap — by Roy Mendelssohn, 3 months ago

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>.

vartest — by Osman Dag, a month ago

Tests for Variance Homogeneity

Performs 18 omnibus tests yielding a total of 28 distinct methodological variations for testing the composite hypothesis of variance homogeneity.

HSEtest — by Zhicheng Du, 5 years ago

Homogeneity of Stratum Effects Test

To test the homogeneity of stratum effects in stratified paired binary data.

climniche — by Bohao He, a month ago

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.

climateStability — by Hannah Owens, 4 years ago

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 Biodiversity Informatics.

HS — by Yongze Song, 7 years ago

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.

climetrics — by Shirin Taheri, 2 years ago

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.

GNSSseg — by Annarosa Quarello, 6 years ago

Homogenization of GNSS Series

Homogenize GNSS (Global Navigation Satellite System) time-series. The general model is a segmentation in the mean model including a periodic function and considering monthly variances, see Quarello (2020) .

climodr — by Alexander Klug, a year ago

Climate Modeling with Point Data from Climate Stations

An automated and streamlined workflow for predictive climate mapping using climate station data. Works within an environment the user provides a destined path to - otherwise it's tempdir(). Quick and relatively easy creation of resilient and reproducible climate models, predictions and climate maps, shortening the usually long and complicated work of predictive modelling. For more information, please find the provided URL. Many methods in this package are new, but the main method is based on a workflow from Meyer (2019) and Meyer (2022) , however, it was generalized and adjusted in the context of this package.

ecmwfr — by Koen Hufkens, 2 years ago

Interface to 'ECMWF' and 'CDS' Data Web Services

Programmatic interface to the European Centre for Medium-Range Weather Forecasts dataset web services (ECMWF; < https://www.ecmwf.int/>) and Copernicus's Data Stores. Allows for easy downloads of weather forecasts and climate reanalysis data in R. Data stores covered include the Climate Data Store (CDS; < https://cds.climate.copernicus.eu>), Atmosphere Data Store (ADS; < https://ads.atmosphere.copernicus.eu>) and Early Warning Data Store (CEMS; < https://ewds.climate.copernicus.eu>).