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Spatial Functions for Heterogeneity and Climate Variability
A comprehensive suite of spatial functions created to analyze and assess data heterogeneity and climate variability in spatial datasets. This package is specifically designed to address the challenges associated with characterizing and understanding complex spatial patterns in environmental and climate-related data.
Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Ordered homogeneity pursuit lasso (OHPL)
algorithm for group variable selection proposed in Lin et al. (2017)
Software Citation Tools
A collection of functions to extract citation information from 'R' packages and to deal with files in 'citation file format' (< https://citation-file-format.github.io/>), extending the functionality already provided by the citation() function in the 'utils' package.
Test the Homogeneity of Kappa Statistics
Tests the homogeneity of intraclass kappa statistics obtained from independent studies or a stratified study with binary results. It is desired to compare the kappa statistics obtained in multi-center studies or in a single stratified study to give a common or summary kappa using all available information. If the homogeneity test of these kappa statistics is not rejected, then it is possible to make inferences over a single kappa statistic that summarizes all the studies. Muammer Albayrak, Kemal Turhan, Yasemin Yavuz, Zeliha Aydin Kasap (2019)
Climatic Indices for Agriculture
Collection of functions to compute agroclimatic indices useful to zoning areas based on climatic variables and to evaluate the importance of temperature and precipitation for individual crops, or in general for agricultural lands.
Iberian Actuarial Climate Index Calculations
Calculates the Iberian Actuarial Climate Index and its components—including temperature, precipitation, wind power, and sea level data—to support climate change analysis and risk assessment. See "Zhou et al." (2023)
Analyze biotic homogenization of landscapes
Tools for assessing exotic species' contributions to landscape homogeneity using average pairwise Jaccard similarity and an analytical approximation derived in Harris et al. (2011, "Occupancy is nine-tenths of the law," The American Naturalist). Also includes a randomization method for assessing sources of model error.
Simulation of Sediment Archived Climate Proxy Records
Proxy forward modelling for sediment archived climate proxies such
as Mg/Ca, d18O or Alkenones. The user provides a hypothesised "true" past climate,
such as output from a climate model, and details of the sedimentation rate and
sampling scheme of a sediment core. Sedproxy returns simulated proxy records.
Implements the methods described in Dolman and Laepple (2018)
Using CF-Compliant Calendars with Climate Projection Data
Support for all calendars as specified in the Climate and Forecast (CF) Metadata Conventions for climate and forecasting data. The CF Metadata Conventions is widely used for distributing files with climate observations or projections, including the Coupled Model Intercomparison Project (CMIP) data used by climate change scientists and the Intergovernmental Panel on Climate Change (IPCC). This package specifically allows the user to work with any of the CF-compliant calendars (many of which are not compliant with POSIXt). The CF time coordinate is formally defined in the CF Metadata Conventions document available at < https://cf-convention.github.io/Data/cf-conventions/cf-conventions-1.13/cf-conventions.html#time-coordinate>.
Accessing NOAA Climate Data Online
Fetch data from the National Oceanic and Atmospheric Administration Climate Data Online (NOAA CDO) < https://www.ncdc.noaa.gov/cdo-web/webservices/v2> API including daily, monthly, and yearly climate summaries, radar data, climatological averages, precipitation data, annual summaries, storm events, and agricultural meteorology.