Found 403 packages in 0.01 seconds
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.
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)
Zhang + Yue-Pilon Trends Package
An efficient implementation of the slope method described by Sen (1968)
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.
Interface to the 'Daymet' Web Services
Programmatic interface to the 'Daymet' web services (< http://daymet.ornl.gov>). Allows for easy downloads of 'Daymet' climate data directly to your R workspace or your computer. Routines for both single pixel data downloads and gridded (netCDF) data are provided.
Select and Download Climate Data from 'DWD' (German Weather Service)
Handle climate data from the 'DWD' ('Deutscher Wetterdienst', see < https://www.dwd.de/EN/climate_environment/cdc/cdc_node_en.html> for more information). Choose observational time series from meteorological stations with 'selectDWD()'. Find raster data from radar and interpolation according to < https://brry.github.io/rdwd/raster-data.html>. Download (multiple) data sets with progress bars and no re-downloads through 'dataDWD()'. Read both tabular observational data and binary gridded datasets with 'readDWD()'.
Climate Indices
Computes 138 standard climate indices at monthly, seasonal and annual resolution. These indices were selected, based on their direct and significant impacts on target sectors, after a thorough review of the literature in the field of extreme weather events and natural hazards. Overall, the selected indices characterize different aspects of the frequency, intensity and duration of extreme events, and are derived from a broad set of climatic variables, including surface air temperature, precipitation, relative humidity, wind speed, cloudiness, solar radiation, and snow cover. The 138 indices have been classified as follow: Temperature based indices (42), Precipitation based indices (22), Bioclimatic indices (21), Wind-based indices (5), Aridity/ continentality indices (10), Snow-based indices (13), Cloud/radiation based indices (6), Drought indices (8), Fire indices (5), Tourism indices (5).