R-universe search: wind

ausclimateservice

TCHazaRds:Tropical Cyclone (Hurricane, Typhoon) Spatial Hazard Modelling

Methods for generating modelled parametric Tropical Cyclone (TC) spatial hazard fields and time series output at point locations from TC tracks. R's compatibility to simply use fast 'cpp' code via the 'Rcpp' package and the wide range spatial analysis tools via the 'terra' package makes it an attractive open source environment to study 'TCs'. This package estimates TC vortex wind and pressure fields using parametric equations originally coded up in 'python' by 'TCRM' <https://github.com/GeoscienceAustralia/tcrm> and then coded up in 'Cuda' 'cpp' by 'TCwindgen' <https://github.com/CyprienBosserelle/TCwindgen>.

Maintained by Julian OGrady. Last updated 2 months ago.

natural-hazards rspatial tropical-cyclone cpp

46.4 match 4 stars 5.00 score

umr-amap

StormR:Analyzing the Behaviour of Wind Generated by Tropical Storms and Cyclones

Set of functions to quantify and map the behaviour of winds generated by tropical storms and cyclones in space and time. It includes functions to compute and analyze fields such as the maximum sustained wind field, power dissipation index and duration of exposure to winds above a given threshold. It also includes functions to map the trajectories as well as characteristics of the storms.

Maintained by Thomas Arsouze. Last updated 3 months ago.

cyclones-behaviour tropical-storms

25.4 match 14 stars 7.36 score 7 scripts

dwarton

ecostats:Code and Data Accompanying the Eco-Stats Text (Warton 2022)

Functions and data supporting the Eco-Stats text (Warton, 2022, Springer), and solutions to exercises. Functions include tools for using simulation envelopes in diagnostic plots, and a function for diagnostic plots of multivariate linear models. Datasets mentioned in the package are included here (where not available elsewhere) and there is a vignette for each chapter of the text with solutions to exercises.

Maintained by David Warton. Last updated 1 years ago.

21.5 match 8 stars 6.58 score 53 scripts

ddalthorp

GenEst:Generalized Mortality Estimator

Command-line and 'shiny' GUI implementation of the GenEst models for estimating bird and bat mortality at wind and solar power facilities, following Dalthorp, et al. (2018) <doi:10.3133/tm7A2>.

Maintained by Daniel Dalthorp. Last updated 2 years ago.

cpp

14.1 match 7 stars 7.81 score 55 scripts 2 dependents

openair-project

openair:Tools for the Analysis of Air Pollution Data

Tools to analyse, interpret and understand air pollution data. Data are typically regular time series and air quality measurement, meteorological data and dispersion model output can be analysed. The package is described in Carslaw and Ropkins (2012, <doi:10.1016/j.envsoft.2011.09.008>) and subsequent papers.

Maintained by David Carslaw. Last updated 25 days ago.

air-quality air-quality-data meteorology openair cpp

7.1 match 311 stars 12.91 score 1.2k scripts 12 dependents

plotly

plotly:Create Interactive Web Graphics via 'plotly.js'

Create interactive web graphics from 'ggplot2' graphs and/or a custom interface to the (MIT-licensed) JavaScript library 'plotly.js' inspired by the grammar of graphics.

Maintained by Carson Sievert. Last updated 3 months ago.

d3js data-visualization ggplot2 javascript plotly shiny webgl

4.5 match 2.6k stars 19.43 score 93k scripts 797 dependents

dmurdoch

plotrix:Various Plotting Functions

Lots of plots, various labeling, axis and color scaling functions. The author/maintainer died in September 2023.

Maintained by Duncan Murdoch. Last updated 1 years ago.

7.5 match 5 stars 11.31 score 9.2k scripts 361 dependents

alanarnholt

BSDA:Basic Statistics and Data Analysis

Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.

Maintained by Alan T. Arnholt. Last updated 2 years ago.

9.1 match 7 stars 9.11 score 1.3k scripts 6 dependents

r-spatial

gstat:Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation

Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.

Maintained by Edzer Pebesma. Last updated 10 days ago.

openblas

5.4 match 197 stars 14.78 score 4.8k scripts 57 dependents

ropensci

getCRUCLdata:'CRU' 'CL' v. 2.0 Climatology Client

Provides functions that automate downloading and importing University of East Anglia Climate Research Unit ('CRU') 'CL' v. 2.0 climatology data, facilitates the calculation of minimum temperature and maximum temperature and formats the data into a data.table object or a list of 'terra' 'rast' objects for use. 'CRU' 'CL' v. 2.0 data are a gridded climatology of 1961-1990 monthly means released in 2002 and cover all land areas (excluding Antarctica) at 10 arc minutes (0.1666667 degree) resolution. For more information see the description of the data provided by the University of East Anglia Climate Research Unit, <https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.

Maintained by Adam H. Sparks. Last updated 11 days ago.

anglia-cru climate-data cru-cl2 temperature rainfall elevation data-access wind relative-humidity solar-radiation diurnal-temperature frost cru peer-reviewed

11.0 match 18 stars 6.83 score 18 scripts

chgrl

bReeze:Functions for Wind Resource Assessment

A collection of functions to analyse, visualize and interpret wind data and to calculate the potential energy production of wind turbines.

Maintained by Christian Graul. Last updated 1 years ago.

16.9 match 20 stars 4.34 score 22 scripts

cran

circular:Circular Statistics

Circular Statistics, from "Topics in circular Statistics" (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.

Maintained by Eduardo García-Portugués. Last updated 7 months ago.

fortran

8.8 match 7 stars 7.76 score 1.1k scripts 40 dependents

geanders

hurricaneexposure:Explore and Map County-Level Hurricane Exposure in the United States

Allows users to create time series of tropical storm exposure histories for chosen counties for a number of hazard metrics (wind, rain, distance from the storm, etc.). This package interacts with data available through the 'hurricaneexposuredata' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/geanders/hurricaneexposure>. The size of the 'hurricaneexposuredata' package is approximately 20 MB. This work was supported in part by grants from the National Institute of Environmental Health Sciences (R00ES022631), the National Science Foundation (1331399), and a NASA Applied Sciences Program/Public Health Program Grant (NNX09AV81G).

Maintained by Brooke Anderson. Last updated 5 years ago.

9.8 match 35 stars 6.71 score 49 scripts 1 dependents

pik-piam

mrremind:MadRat REMIND Input Data Package

The mrremind packages contains data preprocessing for the REMIND model.

Maintained by Lavinia Baumstark. Last updated 3 days ago.

10.5 match 4 stars 6.25 score 15 scripts 1 dependents

hidef-aerial-surveying

stochLAB:Stochastic Collision Risk Model

Collision Risk Models for avian fauna (seabird and migratory birds) at offshore wind farms. The base deterministic model is derived from Band (2012) <https://tethys.pnnl.gov/publications/using-collision-risk-model-assess-bird-collision-risks-offshore-wind-farms>. This was further expanded on by Masden (2015) <doi:10.7489/1659-1> and code used here is heavily derived from this work with input from Dr A. Cook at the British Trust for Ornithology. These collision risk models are useful for marine ornithologists who are working in the offshore wind industry, particularly in UK waters. However, many of the species included in the stochastic collision risk models (stoch_crm) can also be found in the North Atlantic in the United States and Canada, and could be applied there.

Maintained by Grant Humphries. Last updated 2 years ago.

collision-risk migratoryspecies offshore-wind seabirds

13.4 match 6 stars 4.78 score 10 scripts

ropensci

rrricanes:Web Scraper for Atlantic and East Pacific Hurricanes and Tropical Storms

Get archived data of past and current hurricanes and tropical storms for the Atlantic and eastern Pacific oceans. Data is available for storms since 1998. Datasets are updated via the rrricanesdata package. Currently, this package is about 6MB of datasets. See the README or view `vignette("drat")` for more information.

Maintained by Elin Waring. Last updated 1 years ago.

hurricane peer-reviewed weather

13.7 match 21 stars 4.66 score 55 scripts

dankelley

oce:Analysis of Oceanographic Data

Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively by Kelley (2018) "Oceanographic Analysis with R" <doi:10.1007/978-1-4939-8844-0>.

Maintained by Dan Kelley. Last updated 2 days ago.

oceanography fortran cpp

4.0 match 146 stars 15.42 score 4.2k scripts 18 dependents

borisberanger

ExtremalDep:Extremal Dependence Models

A set of procedures for parametric and non-parametric modelling of the dependence structure of multivariate extreme-values is provided. The statistical inference is performed with non-parametric estimators, likelihood-based estimators and Bayesian techniques. It adapts the methodologies of Beranger and Padoan (2015) <doi:10.48550/arXiv.1508.05561>, Marcon et al. (2016) <doi:10.1214/16-EJS1162>, Marcon et al. (2017) <doi:10.1002/sta4.145>, Marcon et al. (2017) <doi:10.1016/j.jspi.2016.10.004> and Beranger et al. (2021) <doi:10.1007/s10687-019-00364-0>. This package also allows for the modelling of spatial extremes using flexible max-stable processes. It provides simulation algorithms and fitting procedures relying on the Stephenson-Tawn likelihood as per Beranger at al. (2021) <doi:10.1007/s10687-020-00376-1>.

Maintained by Simone Padoan. Last updated 3 months ago.

openblas

18.3 match 3.30 score 1 scripts

geanders

weathermetrics:Functions to Convert Between Weather Metrics

Functions to convert between weather metrics, including conversions for metrics of temperature, air moisture, wind speed, and precipitation. This package also includes functions to calculate the heat index from air temperature and air moisture.

Maintained by Brooke Anderson. Last updated 8 years ago.

7.1 match 23 stars 8.32 score 506 scripts 1 dependents

amices

mice:Multivariate Imputation by Chained Equations

Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.

Maintained by Stef van Buuren. Last updated 7 days ago.

chained-equations fcs imputation mice missing-data missing-values multiple-imputation multivariate-data cpp

3.6 match 462 stars 16.50 score 10k scripts 154 dependents

bczernecki

thunder:Computation and Visualisation of Atmospheric Convective Parameters

Allow to compute and visualise convective parameters commonly used in the operational prediction of severe convective storms. Core algorithm is based on a highly optimized 'C++' code linked into 'R' via 'Rcpp'. Highly efficient engine allows to derive thermodynamic and kinematic parameters from large numerical datasets such as reanalyses or operational Numerical Weather Prediction models in a reasonable amount of time. Package has been developed since 2017 by research meteorologists specializing in severe thunderstorms. The most relevant methods used in the package based on the following publications Stipanuk (1973) <https://apps.dtic.mil/sti/pdfs/AD0769739.pdf>, McCann et al. (1994) <doi:10.1175/1520-0434(1994)009%3C0532:WNIFFM%3E2.0.CO;2>, Bunkers et al. (2000) <doi:10.1175/1520-0434(2000)015%3C0061:PSMUAN%3E2.0.CO;2>, Corfidi et al. (2003) <doi:10.1175/1520-0434(2003)018%3C0997:CPAMPF%3E2.0.CO;2>, Showalter (1953) <doi:10.1175/1520-0477-34.6.250>, Coffer et al. (2019) <doi:10.1175/WAF-D-19-0115.1>, Gropp and Davenport (2019) <doi:10.1175/WAF-D-17-0150.1>, Czernecki et al. (2019) <doi:10.1016/j.atmosres.2019.05.010>, Taszarek et al. (2020) <doi:10.1175/JCLI-D-20-0346.1>, Sherburn and Parker (2014) <doi:10.1175/WAF-D-13-00041.1>, Romanic et al. (2022) <doi:10.1016/j.wace.2022.100474>.

Maintained by Bartosz Czernecki. Last updated 12 months ago.

cape cin convective-parameters download-sounding hodograph rawinsonde severe-weather thunder tornado cpp

9.1 match 44 stars 6.30 score 7 scripts

bart1

moveWindSpeed:Estimate Wind Speeds from Bird Trajectories

Estimating wind speed from trajectories of individually tracked birds using a maximum likelihood approach from Weinzierl et al., 2016 <doi.org:10.1002/ece3.2585>.

Maintained by Bart Kranstauber. Last updated 2 years ago.

cpp

16.2 match 3.38 score 12 scripts

r-spatial

RSAGA:SAGA Geoprocessing and Terrain Analysis

Provides access to geocomputing and terrain analysis functions of the geographical information system (GIS) 'SAGA' (System for Automated Geoscientific Analyses) from within R by running the command line version of SAGA. This package furthermore provides several R functions for handling ASCII grids, including a flexible framework for applying local functions (including predict methods of fitted models) and focal functions to multiple grids. SAGA GIS is available under GPL-2 / LGPL-2 licences from <https://sourceforge.net/projects/saga-gis/>.

Maintained by Alexander Brenning. Last updated 1 months ago.

6.3 match 23 stars 8.72 score 275 scripts

dkahle

ggmap:Spatial Visualization with ggplot2

A collection of functions to visualize spatial data and models on top of static maps from various online sources (e.g Google Maps and Stamen Maps). It includes tools common to those tasks, including functions for geolocation and routing.

Maintained by David Kahle. Last updated 1 years ago.

3.8 match 770 stars 14.17 score 12k scripts 31 dependents

cran

wflo:Data Set and Helper Functions for Wind Farm Layout Optimization Problems

Provides a convenient data set, a set of helper functions, and a benchmark function for economically (profit) driven wind farm layout optimization. This enables researchers in the field of the NP-hard (non-deterministic polynomial-time hard) problem of wind farm layout optimization to focus on their optimization methodology contribution and also provides a realistic benchmark setting for comparability among contributions. See Croonenbroeck, Carsten & Hennecke, David (2020) <doi:10.1016/j.energy.2020.119244>.

Maintained by Carsten Croonenbroeck. Last updated 12 months ago.

26.1 match 2.00 score

virmar

finnishgrid:'Fingrid Open Data API' R Client

R API client package for 'Fingrid Open Data' on the electricity market and the power system. get_data() function holds the main application logic to retrieve time-series data. API calls require free user account registration.

Maintained by Markus Virtanen. Last updated 9 months ago.

9.9 match 2 stars 5.24 score 175 scripts

tamu-aml

DSWE:Data Science for Wind Energy

Data science methods used in wind energy applications. Current functionalities include creating a multi-dimensional power curve model, performing power curve function comparison, covariate matching, and energy decomposition. Relevant works for the developed functions are: funGP() - Prakash et al. (2022) <doi:10.1080/00401706.2021.1905073>, AMK() - Lee et al. (2015) <doi:10.1080/01621459.2014.977385>, tempGP() - Prakash et al. (2022) <doi:10.1080/00401706.2022.2069158>, ComparePCurve() - Ding et al. (2021) <doi:10.1016/j.renene.2021.02.136>, deltaEnergy() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, syncSize() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, imptPower() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, All other functions - Ding (2019, ISBN:9780429956508).

Maintained by Yu Ding. Last updated 1 years ago.

openblas cpp

12.0 match 11 stars 4.22 score

prcwiek

pmetar:Processing METAR Weather Reports

Allows to download current and historical METAR weather reports extract and parse basic parameters and present main weather information. Current reports are downloaded from Aviation Weather Center <https://aviationweather.gov/data/metar/> and historical reports from Iowa Environmental Mesonet web page of Iowa State University ASOS-AWOS-METAR <http://mesonet.agron.iastate.edu/AWOS/>.

Maintained by Pawel Cwiek. Last updated 15 days ago.

airports aviation-weather historical-metar-reports metar metar-decoder

9.6 match 9 stars 5.13 score 6 scripts

ysosirius

windfarmGA:Genetic Algorithm for Wind Farm Layout Optimization

The genetic algorithm is designed to optimize wind farms of any shape. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.

Maintained by Sebastian Gatscha. Last updated 2 months ago.

windfarm-layout optimization genetic-algorithm renewable-energy cpp

9.2 match 27 stars 5.06 score 17 scripts

ropensci

rrricanesdata:Data for Atlantic and east Pacific tropical cyclones since 1998

Includes storm discussions, forecast/advisories, public advisories, wind speed probabilities, strike probabilities and more. This package can be used along with rrricanes (>= 0.2.0-6). Data is considered public domain via the National Hurricane Center.

Maintained by Tim Trice. Last updated 5 years ago.

weather

16.8 match 3 stars 2.64 score 29 scripts

vmoprojs

GeoModels:Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis

Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. See the URL for the papers associated with this package, as for instance, Bevilacqua and Gaetan (2015) <doi:10.1007/s11222-014-9460-6>, Bevilacqua et al. (2016) <doi:10.1007/s13253-016-0256-3>, Vallejos et al. (2020) <doi:10.1007/978-3-030-56681-4>, Bevilacqua et. al (2020) <doi:10.1002/env.2632>, Bevilacqua et. al (2021) <doi:10.1111/sjos.12447>, Bevilacqua et al. (2022) <doi:10.1016/j.jmva.2022.104949>, Morales-Navarrete et al. (2023) <doi:10.1080/01621459.2022.2140053>, and a large class of examples and tutorials.

Maintained by Moreno Bevilacqua. Last updated 2 months ago.

fortran openblas glibc

10.6 match 3 stars 4.17 score 83 scripts

gleon

LakeMetabolizer:Tools for the Analysis of Ecosystem Metabolism

A collection of tools for the calculation of freewater metabolism from in situ time series of dissolved oxygen, water temperature, and, optionally, additional environmental variables. LakeMetabolizer implements 5 different metabolism models with diverse statistical underpinnings: bookkeeping, ordinary least squares, maximum likelihood, Kalman filter, and Bayesian. Each of these 5 metabolism models can be combined with 1 of 7 models for computing the coefficient of gas exchange across the air–water interface (k). LakeMetabolizer also features a variety of supporting functions that compute conversions and implement calculations commonly applied to raw data prior to estimating metabolism (e.g., oxygen saturation and optical conversion models).

Maintained by Jake Zwart. Last updated 2 years ago.

7.1 match 18 stars 5.94 score 122 scripts

datastorm-open

rAmCharts:JavaScript Charts Tool

Provides an R interface for using 'AmCharts' Library. Based on 'htmlwidgets', it provides a global architecture to generate 'JavaScript' source code for charts. Most of classes in the library have their equivalent in R with S4 classes; for those classes, not all properties have been referenced but can easily be added in the constructors. Complex properties (e.g. 'JavaScript' object) can be passed as named list. See examples at <https://datastorm-open.github.io/introduction_ramcharts/> and <https://www.amcharts.com/> for more information about the library. The package includes the free version of 'AmCharts' Library. Its only limitation is a small link to the web site displayed on your charts. If you enjoy this library, do not hesitate to refer to this page <https://www.amcharts.com/online-store/> to purchase a licence, and thus support its creators and get a period of Priority Support. See also <https://www.amcharts.com/about/> for more information about 'AmCharts' company.

Maintained by Benoit Thieurmel. Last updated 2 months ago.

5.8 match 49 stars 7.17 score 153 scripts 4 dependents

juergenknauer

bigleaf:Physical and Physiological Ecosystem Properties from Eddy Covariance Data

Calculation of physical (e.g. aerodynamic conductance, surface temperature), and physiological (e.g. canopy conductance, water-use efficiency) ecosystem properties from eddy covariance data and accompanying meteorological measurements. Calculations assume the land surface to behave like a 'big-leaf' and return bulk ecosystem/canopy variables.

Maintained by Juergen Knauer. Last updated 8 months ago.

5.5 match 7.23 score 124 scripts 17 dependents

dankelley

ocedata:Oceanographic Data Sets for 'oce' Package

Several Oceanographic data sets are provided for use by the 'oce' package, and for other purposes.

Maintained by Dan Kelley. Last updated 2 years ago.

7.4 match 8 stars 5.07 score 146 scripts

cran

evd:Functions for Extreme Value Distributions

Extends simulation, distribution, quantile and density functions to univariate and multivariate parametric extreme value distributions, and provides fitting functions which calculate maximum likelihood estimates for univariate and bivariate maxima models, and for univariate and bivariate threshold models.

Maintained by Alec Stephenson. Last updated 6 months ago.

3.6 match 2 stars 9.46 score 748 scripts 82 dependents

noeliaof

SEI:Calculating Standardised Indices

Convert a time series of observations to a time series of standardised indices that can be used to monitor variables on a common and probabilistically interpretable scale. The indices can be aggregated and rescaled to different time scales, visualised using plot capabilities, and calculated using a range of distributions. This includes flexible non-parametric and non-stationary methods.

Maintained by Sam Allen. Last updated 8 months ago.

7.0 match 3 stars 4.86 score 12 scripts

agrocares

OBIC:Calculate the Open Bodem Index (OBI) Score

The Open Bodem Index (OBI) is a method to evaluate the quality of soils of agricultural fields in The Netherlands and the sustainability of the current agricultural practices. The OBI score is based on four main criteria: chemical, physical, biological and management, which consist of more than 21 indicators. By providing results of a soil analysis and management info the 'OBIC' package can be use to calculate he scores, indicators and derivatives that are used by the OBI. More information about the Open Bodem Index can be found at <https://openbodemindex.nl/>.

Maintained by Sven Verweij. Last updated 6 months ago.

agriculture soil

5.0 match 11 stars 6.82 score 20 scripts

trenchproject

TrenchR:Tools for Microclimate and Biophysical Ecology

Tools for translating environmental change into organismal response. Microclimate models to vertically scale weather station data to organismal heights. The biophysical modeling tools include both general models for heat flows and specific models to predict body temperatures for a variety of ectothermic taxa. Additional functions model and temporally partition air and soil temperatures and solar radiation. Utility functions estimate the organismal and environmental parameters needed for biophysical ecology. 'TrenchR' focuses on relatively simple and modular functions so users can create transparent and flexible biophysical models. Many functions are derived from Gates (1980) <doi:10.1007/978-1-4612-6024-0> and Campbell and Norman (1988) <isbn:9780387949376>.

Maintained by Lauren Buckley. Last updated 1 years ago.

4.9 match 13 stars 6.89 score 43 scripts

lbelzile

mev:Modelling of Extreme Values

Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes [Dombry, Engelke and Oesting (2016) <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.

Maintained by Leo Belzile. Last updated 5 months ago.

extreme-value-statistics likelihood-functions max-stable simulation threshold-selection openblas cpp openmp

4.0 match 13 stars 8.23 score 94 scripts 4 dependents

arutools

ARUtools:Management and Processing of Autonomous Recording Unit (ARU) Data

Parse Autonomous Recording Unit (ARU) data and for sub-sampling recordings. Extract Metadata from your recordings, select a subset of recordings for interpretation, and prepare files for processing on the 'WildTrax' <https://wildtrax.ca/> platform. Read and process metadata from recordings collected using the SongMeter and BAR-LT types of ARUs.

Maintained by David Hope. Last updated 4 months ago.

5.1 match 6.30 score 26 scripts

hurrecon-model

HurreconR:Models Hurricane Wind Speed, Wind Direction, and Wind Damage

The HURRECON model estimates wind speed, wind direction, enhanced Fujita scale wind damage, and duration of EF0 to EF5 winds as a function of hurricane location and maximum sustained wind speed. Results may be generated for a single site or an entire region. Hurricane track and intensity data may be imported directly from the US National Hurricane Center's HURDAT2 database. For details on the original version of the model written in Borland Pascal, see: Boose, Chamberlin, and Foster (2001) <doi:10.1890/0012-9615(2001)071[0027:LARIOH]2.0.CO;2> and Boose, Serrano, and Foster (2004) <doi:10.1890/02-4057>.

Maintained by Emery Boose. Last updated 2 years ago.

7.0 match 7 stars 4.54 score 4 scripts

vinhtantran

monoClust:Perform Monothetic Clustering with Extensions to Circular Data

Implementation of the Monothetic Clustering algorithm (Chavent, 1998 <doi:10.1016/S0167-8655(98)00087-7>) on continuous data sets. A lot of extensions are included in the package, including applying Monothetic clustering on data sets with circular variables, visualizations with the results, and permutation and cross-validation based tests to support the decision on the number of clusters.

Maintained by Tan Tran. Last updated 4 years ago.

circular-variables clusters ggplot2 monothetic plot visualization

7.5 match 1 stars 4.18 score 7 scripts 1 dependents

cran

NPCirc:Nonparametric Circular Methods

Nonparametric smoothing methods for density and regression estimation involving circular data, including the estimation of the mean regression function and other conditional characteristics.

Maintained by Maria Alonso-Pena. Last updated 2 years ago.

openblas cpp openmp

17.2 match 1.78 score 2 dependents

cran

CSIndicators:Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions

Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management, ...). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package is described in 'Pérez-Zanón et al. (2023) <doi:10.1016/j.cliser.2023.100393>' and it was developed in the context of 'H2020 MED-GOLD' (776467) and 'S2S4E' (776787) projects. See 'Lledó et al. (2019) <doi:10.1016/j.renene.2019.04.135>' and 'Chou et al., 2023 <doi:10.1016/j.cliser.2023.100345>' for details.

Maintained by Victòria Agudetse. Last updated 1 years ago.

9.8 match 3.00 score 6 scripts

ropenspain

climaemet:Climate AEMET Tools

Tools to download the climatic data of the Spanish Meteorological Agency (AEMET) directly from R using their API and create scientific graphs (climate charts, trend analysis of climate time series, temperature and precipitation anomalies maps, warming stripes graphics, climatograms, etc.).

Maintained by Diego Hernangómez. Last updated 1 months ago.

aemet climate data forecast-api ropenspain science spain weather-api

3.4 match 43 stars 8.32 score 59 scripts

r-forge

cobs:Constrained B-Splines (Sparse Matrix Based)

Qualitatively Constrained (Regression) Smoothing Splines via Linear Programming and Sparse Matrices.

Maintained by Martin Maechler. Last updated 3 months ago.

3.8 match 7.44 score 134 scripts 18 dependents

wch

gcookbook:Data for "R Graphics Cookbook"

Data sets used in the book "R Graphics Cookbook" by Winston Chang, published by O'Reilly Media.

Maintained by Winston Chang. Last updated 6 years ago.

4.0 match 10 stars 6.77 score 1.3k scripts 1 dependents

hhwangbo

gainML:Machine Learning-Based Analysis of Potential Power Gain from Passive Device Installation on Wind Turbine Generators

Provides an effective machine learning-based tool that quantifies the gain of passive device installation on wind turbine generators. H. Hwangbo, Y. Ding, and D. Cabezon (2019) <arXiv:1906.05776>.

Maintained by Hoon Hwangbo. Last updated 6 years ago.

7.0 match 3.70 score 2 scripts

waternumbers

anomalous:Anomaly Detection using the CAPA and PELT Algorithms

Implimentations of the univariate CAPA <doi:10.1002/sam.11586> and PELT <doi:10.1080/01621459.2012.737745> algotithms along with various cost functions for different distributions and models. The modular design, using R6 classes, favour ease of extension (for example user written cost functions) over the performance of other implimentations (e.g. <doi:10.32614/CRAN.package.changepoint>, <doi:10.32614/CRAN.package.anomaly>).

Maintained by Paul Smith. Last updated 3 months ago.

cpp

5.4 match 4.61 score 18 scripts

tianxia-jia

mcgf:Markov Chain Gaussian Fields Simulation and Parameter Estimation

Simulating and estimating (regime-switching) Markov chain Gaussian fields with covariance functions of the Gneiting class (Gneiting 2002) <doi:10.1198/016214502760047113>. It supports parameter estimation by weighted least squares and maximum likelihood methods, and produces Kriging forecasts and intervals for existing and new locations.

Maintained by Tianxia Jia. Last updated 9 months ago.

5.1 match 1 stars 4.82 score 11 scripts

eliocamp

metR:Tools for Easier Analysis of Meteorological Fields

Many useful functions and extensions for dealing with meteorological data in the tidy data framework. Extends 'ggplot2' for better plotting of scalar and vector fields and provides commonly used analysis methods in the atmospheric sciences.

Maintained by Elio Campitelli. Last updated 21 days ago.

atmospheric-science ggplot2 visualization

2.0 match 144 stars 12.19 score 1000 scripts 22 dependents

egarpor

ridgetorus:PCA on the Torus via Density Ridges

Implementation of a Principal Component Analysis (PCA) in the torus via density ridge estimation. The main function, ridge_pca(), obtains the relevant density ridge for bivariate sine von Mises and bivariate wrapped Cauchy distribution models and provides the associated scores and variance decomposition. Auxiliary functions for evaluating, fitting, and sampling these models are also provided. The package provides replicability to García-Portugués and Prieto-Tirado (2023) <doi:10.1007/s11222-023-10273-9>.

Maintained by Eduardo García-Portugués. Last updated 2 years ago.

circular-statistics dimensionality-reduction directional-statistics openblas cpp

5.5 match 4 stars 4.30 score 9 scripts

robjhyndman

tscompdata:Time series data from various forecasting competitions

Time series data from the following forecasting competitions are provided: M, M3, NN3, NN5, NNGC1, Tourism, and GEFCom2012.

Maintained by Rob Hyndman. Last updated 2 years ago.

data time-series

5.0 match 18 stars 4.69 score 18 scripts

predictiveecology

LandR:Landscape Ecosystem Modelling in R

Utilities for 'LandR' suite of landscape simulation models. These models simulate forest vegetation dynamics based on LANDIS-II, and incorporate fire and insect disturbance, as well as other important ecological processes. Models are implemented as 'SpaDES' modules.

Maintained by Eliot J B McIntire. Last updated 4 days ago.

ecological-modelling landscape-ecosystem-modelling spades

3.4 match 17 stars 6.07 score 12 scripts 4 dependents

neerajdhanraj

WindCurves:Tool to Fit Wind Turbine Power Curves

Provides a tool to fit and compare the wind turbine power curves with successful curve fitting techniques. Facilitates to examine and compare the performance of a user-defined power curve fitting techniques. Also, provide features to generate power curve discrete points from a graphical power curves. Data on the power curves of the wind turbine from major manufacturers are provided.

Maintained by Neeraj Bokde. Last updated 3 years ago.

10.3 match 2.00 score 9 scripts

bastian-schaefer

DCSmooth:Nonparametric Regression and Bandwidth Selection for Spatial Models

Nonparametric smoothing techniques for data on a lattice and functional time series. Smoothing is done via kernel regression or local polynomial regression, a bandwidth selection procedure based on an iterative plug-in algorithm is implemented. This package allows for modeling a dependency structure of the error terms of the nonparametric regression model. Methods used in this paper are described in Feng/Schaefer (2021) <https://ideas.repec.org/p/pdn/ciepap/144.html>, Schaefer/Feng (2021) <https://ideas.repec.org/p/pdn/ciepap/143.html>.

Maintained by Bastian Schaefer. Last updated 3 years ago.

openblas cpp openmp

7.5 match 2.70 score 5 scripts

r-forge

SpatialExtremes:Modelling Spatial Extremes

Tools for the statistical modelling of spatial extremes using max-stable processes, copula or Bayesian hierarchical models. More precisely, this package allows (conditional) simulations from various parametric max-stable models, analysis of the extremal spatial dependence, the fitting of such processes using composite likelihoods or least square (simple max-stable processes only), model checking and selection and prediction. Other approaches (although not completely in agreement with the extreme value theory) are available such as the use of (spatial) copula and Bayesian hierarchical models assuming the so-called conditional assumptions. The latter approaches is handled through an (efficient) Gibbs sampler. Some key references: Davison et al. (2012) <doi:10.1214/11-STS376>, Padoan et al. (2010) <doi:10.1198/jasa.2009.tm08577>, Dombry et al. (2013) <doi:10.1093/biomet/ass067>.

Maintained by Mathieu Ribatet. Last updated 11 months ago.

openblas

3.6 match 5.36 score 189 scripts 2 dependents

ropensci

weatherOz:An API Client for Australian Weather and Climate Data Resources

Provides automated downloading, parsing and formatting of weather data for Australia through API endpoints provided by the Department of Primary Industries and Regional Development ('DPIRD') of Western Australia and by the Science and Technology Division of the Queensland Government's Department of Environment and Science ('DES'). As well as the Bureau of Meteorology ('BOM') of the Australian government precis and coastal forecasts, and downloading and importing radar and satellite imagery files. 'DPIRD' weather data are accessed through public 'APIs' provided by 'DPIRD', <https://www.agric.wa.gov.au/weather-api-20>, providing access to weather station data from the 'DPIRD' weather station network. Australia-wide weather data are based on data from the Australian Bureau of Meteorology ('BOM') data and accessed through 'SILO' (Scientific Information for Land Owners) Jeffrey et al. (2001) <doi:10.1016/S1364-8152(01)00008-1>. 'DPIRD' data are made available under a Creative Commons Attribution 3.0 Licence (CC BY 3.0 AU) license <https://creativecommons.org/licenses/by/3.0/au/deed.en>. SILO data are released under a Creative Commons Attribution 4.0 International licence (CC BY 4.0) <https://creativecommons.org/licenses/by/4.0/>. 'BOM' data are (c) Australian Government Bureau of Meteorology and released under a Creative Commons (CC) Attribution 3.0 licence or Public Access Licence ('PAL') as appropriate, see <http://www.bom.gov.au/other/copyright.shtml> for further details.

Maintained by Rodrigo Pires. Last updated 20 days ago.

dpird bom meteorological-data weather-forecast australia weather weather-data meteorology western-australia australia-bureau-of-meteorology western-australia-agriculture australia-agriculture australia-climate australia-weather api-client climate data rainfall weather-api

2.2 match 32 stars 8.54 score 40 scripts

mfacevedol

renpow:Renewable Power Systems and the Environment

Supports calculations and visualization for renewable power systems and the environment. Analysis and graphical tools for DC and AC circuits and their use in electric power systems. Analysis and graphical tools for thermodynamic cycles and heat engines, supporting efficiency calculations in coal-fired power plants, gas-fired power plants. Calculations of carbon emissions and atmospheric CO2 dynamics. Analysis of power flow and demand for the grid, as well as power models for microgrids and off-grid systems. Provides resource and power generation for hydro power, wind power, and solar power.

Maintained by Miguel F. Acevedo. Last updated 7 years ago.

12.6 match 1.48 score 30 scripts

ericgilleland

ismev:An Introduction to Statistical Modeling of Extreme Values

Functions to support the computations carried out in `An Introduction to Statistical Modeling of Extreme Values' by Stuart Coles. The functions may be divided into the following groups; maxima/minima, order statistics, peaks over thresholds and point processes.

Maintained by Eric Gilleland. Last updated 7 years ago.

3.5 match 1 stars 5.19 score 326 scripts 13 dependents

c7rishi

BAMBI:Bivariate Angular Mixture Models

Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions. Chakraborty and Wong (2021) <doi:10.18637/jss.v099.i11>.

Maintained by Saptarshi Chakraborty. Last updated 5 months ago.

cpp

3.8 match 3 stars 4.83 score 65 scripts 1 dependents

opengeos

whitebox:'WhiteboxTools' R Frontend

An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. Suggested citation: Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.

Maintained by Andrew Brown. Last updated 5 months ago.

geomorphometry geoprocessing geospatial gis hydrology remote-sensing rstudio

1.9 match 173 stars 9.65 score 203 scripts 2 dependents

hughjonesd

anim.plots:Simple Animated Plots for R

Simple animated versions of basic R plots, using the 'animation' package. Includes animated versions of plot, barplot, persp, contour, filled.contour, hist, curve, points, lines, text, symbols, segments, and arrows.

Maintained by David Hugh-Jones. Last updated 4 years ago.

animation graphics plot

3.6 match 8 stars 5.00 score 25 scripts

paulnorthrop

exdex:Estimation of the Extremal Index

Performs frequentist inference for the extremal index of a stationary time series. Two types of methodology are used. One type is based on a model that relates the distribution of block maxima to the marginal distribution of series and leads to the semiparametric maxima estimators described in Northrop (2015) <doi:10.1007/s10687-015-0221-5> and Berghaus and Bucher (2018) <doi:10.1214/17-AOS1621>. Sliding block maxima are used to increase precision of estimation. A graphical block size diagnostic is provided. The other type of methodology uses a model for the distribution of threshold inter-exceedance times (Ferro and Segers (2003) <doi:10.1111/1467-9868.00401>). Three versions of this type of approach are provided: the iterated weight least squares approach of Suveges (2007) <doi:10.1007/s10687-007-0034-2>, the K-gaps model of Suveges and Davison (2010) <doi:10.1214/09-AOAS292> and a similar approach of Holesovsky and Fusek (2020) <doi:10.1007/s10687-020-00374-3> that we refer to as D-gaps. For the K-gaps and D-gaps models this package allows missing values in the data, can accommodate independent subsets of data, such as monthly or seasonal time series from different years, and can incorporate information from right-censored inter-exceedance times. Graphical diagnostics for the threshold level and the respective tuning parameters K and D are provided.

Maintained by Paul J. Northrop. Last updated 11 months ago.

block-maxima extremal-index extreme extreme-value-statistics extremes inference maxima semiparametric semiparametric-estimation semiparametric-maxima-estimators theta threshold value cpp

3.6 match 4.92 score 11 scripts 5 dependents

rudeboybert

resampledata:Data Sets for Mathematical Statistics with Resampling in R

Package of data sets from "Mathematical Statistics with Resampling in R" (1st Ed. 2011, 2nd Ed. 2018) by Laura Chihara and Tim Hesterberg.

Maintained by Albert Y. Kim. Last updated 4 months ago.

3.4 match 15 stars 5.15 score 187 scripts

ropensci

rnoaa:'NOAA' Weather Data from R

Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.

Maintained by Daniel Hocking. Last updated 1 months ago.

earth science climate precipitation temperature storm buoy ncdc noaa tornadoe sea ice isd noaa-data

1.9 match 334 stars 9.39 score 788 scripts 4 dependents

aphalo

learnrbook:Datasets and Code Examples from P. J. Aphalo's "Learn R" Book

Data, scripts and code from chunks used as examples in the book "Learn R: As a Language" 1ed and 2ed by Pedro J. Aphalo. ISBN 9780367182533 (pbk 1ed); ISBN 9780367182557 (hbk 1ed); ISBN 9780429060342 (ebk 1ed).

Maintained by Pedro J. Aphalo. Last updated 7 months ago.

book

3.8 match 1 stars 4.57 score 25 scripts

schuch666

eva3dm:Evaluation of 3D Meteorological and Air Quality Models

Provides tools for post-process, evaluate and visualize results from 3d Meteorological and Air Quality models against point observations (i.e. surface stations) and grid (i.e. satellite) observations.

Maintained by Daniel Schuch. Last updated 24 days ago.

air-quality-model air-quality-model-evaluation atmos atmosphere atmospheric-chemistry atmospheric-modelling atmospheric-models atmospheric-science evaluation model-evaluation model-evaluation-metrics wrf-chem

3.6 match 4 stars 4.75 score 3 scripts

aleksandarsekulic

meteo:RFSI & STRK Interpolation for Meteo and Environmental Variables

Random Forest Spatial Interpolation (RFSI, Sekulić et al. (2020) <doi:10.3390/rs12101687>) and spatio-temporal geostatistical (spatio-temporal regression Kriging (STRK)) interpolation for meteorological (Kilibarda et al. (2014) <doi:10.1002/2013JD020803>, Sekulić et al. (2020) <doi:10.1007/s00704-019-03077-3>) and other environmental variables. Contains global spatio-temporal models calculated using publicly available data.

Maintained by Aleksandar Sekulić. Last updated 6 months ago.

3.4 match 18 stars 5.06 score 64 scripts

ropensci

nasapower:NASA POWER API Client

An API client for NASA POWER global meteorology, surface solar energy and climatology data API. POWER (Prediction Of Worldwide Energy Resources) data are freely available for download with varying spatial resolutions dependent on the original data and with several temporal resolutions depending on the POWER parameter and community. This work is funded through the NASA Earth Science Directorate Applied Science Program. For more on the data themselves, the methodologies used in creating, a web- based data viewer and web access, please see <https://power.larc.nasa.gov/>.

Maintained by Adam H. Sparks. Last updated 11 days ago.

nasa meteorological-data weather global weather-data meteorology nasa-power agroclimatology earth-science data-access climate-data agroclimatology-data weather-variables

1.7 match 101 stars 9.98 score 137 scripts 3 dependents

billpetti

baseballr:Acquiring and Analyzing Baseball Data

Provides numerous utilities for acquiring and analyzing baseball data from online sources such as 'Baseball Reference' <https://www.baseball-reference.com/>, 'FanGraphs' <https://www.fangraphs.com/>, and the 'MLB Stats' API <https://www.mlb.com/>.

Maintained by Saiem Gilani. Last updated 4 months ago.

baseball pitchfx sabermetrics statcast

1.9 match 380 stars 8.98 score 582 scripts

nikdata

RClimacell:R Wrapper for the 'Climacell' API

'Climacell' is a weather platform that provides hyper-local forecasts and weather data. This package enables the user to query the core layers of the time line interface of the 'Climacell' v4 API <https://www.climacell.co/weather-api/>. This package requires a valid API key. See vignettes for instructions on use.

Maintained by Nikhil Agarwal. Last updated 4 years ago.

climacell climacell-api weather weather-api

4.2 match 4.00 score 5 scripts

carm1r

fruclimadapt:Evaluation Tools for Assessing Climate Adaptation of Fruit Tree Species

Climate is a critical component limiting growing range of plant species, which also determines cultivar adaptation to a region. The evaluation of climate influence on fruit production is critical for decision-making in the design stage of orchards and vineyards and in the evaluation of the potential consequences of future climate. Bio- climatic indices and plant phenology are commonly used to describe the suitability of climate for growing quality fruit and to provide temporal and spatial information about regarding ongoing and future changes. 'fruclimadapt' streamlines the assessment of climate adaptation and the identification of potential risks for grapevines and fruit trees. Procedures in the package allow to i) downscale daily meteorological variables to hourly values (Forster et al (2016) <doi:10.5194/gmd-9-2315-2016>), ii) estimate chilling and forcing heat accumulation (Miranda et al (2019) <https://ec.europa.eu/eip/agriculture/sites/default/files/fg30_mp5_phenology_critical_temperatures.pdf>), iii) estimate plant phenology (Schwartz (2012) <doi:10.1007/978-94-007-6925-0>), iv) calculate bioclimatic indices to evaluate fruit tree and grapevine adaptation (e.g. Badr et al (2017) <doi:10.3354/cr01532>), v) estimate the incidence of weather-related disorders in fruits (e.g. Snyder and de Melo-Abreu (2005, ISBN:92-5-105328-6) and vi) estimate plant water requirements (Allen et al (1998, ISBN:92-5-104219-5)).

Maintained by Carlos Miranda. Last updated 2 years ago.

chill-models chill-requirement climate-adaptation climate-analysis estimate fruit fruit-trees grapevine horticulture phenology

5.2 match 3 stars 3.18 score 4 scripts

cran

GNAR:Methods for Fitting Network Time Series Models

Simulation of, and fitting models for, Generalised Network Autoregressive (GNAR) time series models which take account of network structure, potentially with exogenous variables. Such models are described in Knight et al. (2020) <doi:10.18637/jss.v096.i05> and Nason and Wei (2021) <doi:10.1111/rssa.12875>. Diagnostic tools for GNAR(X) models can be found in Nason et al. (2023) <doi:10.48550/arXiv.2312.00530>.

Maintained by Matt Nunes. Last updated 6 months ago.

12.3 match 2 stars 1.30 score

diegovalle

aire.zmvm:Download Mexico City Pollution, Wind, and Temperature Data

Tools for downloading hourly averages, daily maximums and minimums from each of the pollution, wind, and temperature measuring stations or geographic zones in the Mexico City metro area. The package also includes the locations of each of the stations and zones. See <http://aire.cdmx.gob.mx/> for more information.

Maintained by Diego Valle-Jones. Last updated 9 months ago.

mexico-city mexico-datos weather

3.4 match 10 stars 4.54 score 23 scripts

ksbakar

spTimer:Spatio-Temporal Bayesian Modelling

Fits, spatially predicts and temporally forecasts large amounts of space-time data using [1] Bayesian Gaussian Process (GP) Models, [2] Bayesian Auto-Regressive (AR) Models, and [3] Bayesian Gaussian Predictive Processes (GPP) based AR Models for spatio-temporal big-n problems. Bakar and Sahu (2015) <doi:10.18637/jss.v063.i15>.

Maintained by K. Shuvo Bakar. Last updated 6 months ago.

5.1 match 2 stars 2.90 score 66 scripts 2 dependents

kehraproject

kehra:Collect, Assemble and Model Air Pollution, Weather and Health Data

Collection of utility functions used in the KEHRA project (see http://www.brunel.ac.uk/ife/britishcouncil). It refers to the multidimensional analysis of air pollution, weather and health data.

Maintained by Claudia Vitolo. Last updated 6 years ago.

4.5 match 3 stars 3.18 score 6 scripts

fawda123

SWMPr:Retrieving, Organizing, and Analyzing Estuary Monitoring Data

Tools for retrieving, organizing, and analyzing environmental data from the System Wide Monitoring Program of the National Estuarine Research Reserve System <https://cdmo.baruch.sc.edu/>. These tools address common challenges associated with continuous time series data for environmental decision making.

Maintained by Marcus W. Beck. Last updated 1 months ago.

2.0 match 13 stars 7.05 score 143 scripts 1 dependents

cran

extRemes:Extreme Value Analysis

General functions for performing extreme value analysis. In particular, allows for inclusion of covariates into the parameters of the extreme-value distributions, as well as estimation through MLE, L-moments, generalized (penalized) MLE (GMLE), as well as Bayes. Inference methods include parametric normal approximation, profile-likelihood, Bayes, and bootstrapping. Some bivariate functionality and dependence checking (e.g., auto-tail dependence function plot, extremal index estimation) is also included. For a tutorial, see Gilleland and Katz (2016) <doi: 10.18637/jss.v072.i08> and for bootstrapping, please see Gilleland (2020) <doi: 10.1175/JTECH-D-20-0070.1>.

Maintained by Eric Gilleland. Last updated 4 months ago.

3.8 match 2 stars 3.75 score 5 dependents

expos-model

ExposR:Models Topographic Exposure to Hurricane Winds

The EXPOS model uses a digital elevation model (DEM) to estimate exposed and protected areas for a given hurricane wind direction and inflection angle. The resulting topographic exposure maps can be combined with output from the HURRECON model to estimate hurricane wind damage across a region. For details on the original version of the EXPOS model written in 'Borland Pascal', see: Boose, Foster, and Fluet (1994) <doi:10.2307/2937142>, Boose, Chamberlin, and Foster (2001) <doi:10.1890/0012-9615(2001)071[0027:LARIOH]2.0.CO;2>, and Boose, Serrano, and Foster (2004) <doi:10.1890/02-4057>.

Maintained by Emery Boose. Last updated 4 months ago.

3.8 match 3.70 score 2 scripts

cran

ensembleBMA:Probabilistic Forecasting using Ensembles and Bayesian Model Averaging

Bayesian Model Averaging to create probabilistic forecasts from ensemble forecasts and weather observations <https://stat.uw.edu/sites/default/files/files/reports/2007/tr516.pdf>.

Maintained by Chris Fraley. Last updated 3 years ago.

5.3 match 3 stars 2.58 score 42 scripts 1 dependents

wjbraun

MPV:Data Sets from Montgomery, Peck and Vining

Most of this package consists of data sets from the textbook Introduction to Linear Regression Analysis, by Montgomery, Peck and Vining. All data sets from the 3rd edition are included and many from the 6th edition are also included. The package also contains some additional data sets and functions.

Maintained by W.J. Braun. Last updated 7 months ago.

4.0 match 3.36 score 193 scripts 1 dependents

alshum

rwunderground:R Interface to Weather Underground API

Tools for getting historical weather information and forecasts from wunderground.com. Historical weather and forecast data includes, but is not limited to, temperature, humidity, windchill, wind speed, dew point, heat index. Additionally, the weather underground weather API also includes information on sunrise/sunset, tidal conditions, satellite/webcam imagery, weather alerts, hurricane alerts and historical high/low temperatures.

Maintained by Eric Hare. Last updated 7 years ago.

weather weather-data weather-history weather-underground

2.1 match 77 stars 6.20 score 83 scripts

ibot-geoecology

myClim:Microclimatic Data Processing

Handling the microclimatic data in R. The 'myClim' workflow begins at the reading data primary from microclimatic dataloggers, but can be also reading of meteorological station data from files. Cleaning time step, time zone settings and metadata collecting is the next step of the work flow. With 'myClim' tools one can crop, join, downscale, and convert microclimatic data formats, sort them into localities, request descriptive characteristics and compute microclimatic variables. Handy plotting functions are provided with smart defaults.

Maintained by Vojtěch Kalčík. Last updated 14 days ago.

1.9 match 7 stars 6.97 score 30 scripts

laperez

Clustering:Techniques for Evaluating Clustering

The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided. See Martos, L.A.P., García-Vico, Á.M., González, P. et al.(2023) <doi:10.1007/s13748-022-00294-2> "Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.", Martos, L.A.P., García-Vico, Á.M., González, P. et al. "A Multiclustering Evolutionary Hyperrectangle-Based Algorithm" <doi:10.1007/s44196-023-00341-3> and L.A.P., García-Vico, Á.M., González, P. et al. "An Evolutionary Fuzzy System for Multiclustering in Data Streaming" <doi:10.1016/j.procs.2023.12.058>.

Maintained by Luis Alfonso Perez Martos. Last updated 11 months ago.

3.1 match 5 stars 4.04 score 7 scripts

beanumber

macleish:Retrieve Data from MacLeish Field Station

Download data from the Ada and Archibald MacLeish Field Station in Whately, MA. The Ada and Archibald MacLeish Field Station is a 260-acre patchwork of forest and farmland located in West Whately, MA that provides opportunities for faculty and students to pursue environmental research, outdoor education, and low-impact recreation (see <https://www.smith.edu/about-smith/sustainable-smith/macleish> for more information). This package contains weather data over several years, and spatial data on various man-made and natural structures.

Maintained by Benjamin S. Baumer. Last updated 3 years ago.

2.2 match 2 stars 5.72 score 87 scripts

fraenzi

carcass:Estimation of the Number of Fatalities from Carcass Searches

The number of bird or bat fatalities from collisions with buildings, towers or wind energy turbines can be estimated based on carcass searches and experimentally assessed carcass persistence times and searcher efficiency. Functions for estimating the probability that a bird or bat that died is found by a searcher are provided. Further functions calculate the posterior distribution of the number of fatalities based on the number of carcasses found and the estimated detection probability.

Maintained by Fraenzi Korner-Nievergelt. Last updated 1 years ago.

4.1 match 2.93 score 17 scripts

kevinjaunatre

extremefit:Estimation of Extreme Conditional Quantiles and Probabilities

Extreme value theory, nonparametric kernel estimation, tail conditional probabilities, extreme conditional quantile, adaptive estimation, quantile regression, survival probabilities.

Maintained by Kevin Jaunatre. Last updated 6 years ago.

3.8 match 1 stars 3.07 score 39 scripts 1 dependents

openair-project

openairmaps:Create Maps of Air Pollution Data

Combine the air quality data analysis methods of 'openair' with the JavaScript 'Leaflet' (<https://leafletjs.com/>) library. Functionality includes plotting site maps, "directional analysis" figures such as polar plots, and air mass trajectories.

Maintained by Jack Davison. Last updated 1 days ago.

openair

1.8 match 21 stars 6.04 score 47 scripts

marjoleinf

pre:Prediction Rule Ensembles

Derives prediction rule ensembles (PREs). Largely follows the procedure for deriving PREs as described in Friedman & Popescu (2008; <DOI:10.1214/07-AOAS148>), with adjustments and improvements. The main function pre() derives prediction rule ensembles consisting of rules and/or linear terms for continuous, binary, count, multinomial, and multivariate continuous responses. Function gpe() derives generalized prediction ensembles, consisting of rules, hinge and linear functions of the predictor variables.

Maintained by Marjolein Fokkema. Last updated 9 months ago.

1.3 match 58 stars 8.49 score 98 scripts 1 dependents

pschmidtwalter

LWFBrook90R:Simulate Evapotranspiration and Soil Moisture with the SVAT Model LWF-Brook90

Provides a flexible and easy-to use interface for the soil vegetation atmosphere transport (SVAT) model LWF-BROOK90, written in Fortran. The model simulates daily transpiration, interception, soil and snow evaporation, streamflow and soil water fluxes through a soil profile covered with vegetation, as described in Hammel & Kennel (2001, ISBN:978-3-933506-16-0) and Federer et al. (2003) <doi:10.1175/1525-7541(2003)004%3C1276:SOAETS%3E2.0.CO;2>. A set of high-level functions for model set up, execution and parallelization provides easy access to plot-level SVAT simulations, as well as multi-run and large-scale applications.

Maintained by Paul Schmidt-Walter. Last updated 5 months ago.

evapotranspiration modeling waterbalance waterflux fortran

1.7 match 11 stars 6.38 score 27 scripts

cran

lmomRFA:Regional Frequency Analysis using L-Moments

Functions for regional frequency analysis using the methods of J. R. M. Hosking and J. R. Wallis (1997), "Regional frequency analysis: an approach based on L-moments".

Maintained by J. R. M. Hosking. Last updated 6 months ago.

fortran

4.0 match 1 stars 2.48 score 1 dependents

dnychka

RadioSonde:Tools for Plotting Skew-T Diagrams and Wind Profiles

A collection of programs for plotting SKEW-T,log p diagrams and wind profiles for data collected by radiosondes (the typical weather balloon-borne instrument). The format of this plot with companion lines to assess atmospheric stability are both standard in meteorology and difficult to create from basic graphics functions. Hence this package. One novel feature is being able add several profiles to the same plot for comparison. Use "help(ExampleSonde)" for an explanation of the variables needed and how they should be named in a data frame. See <https://github.com/dnychka/Radiosonde> for the package home page.

Maintained by Doug Nychka. Last updated 3 years ago.

8.5 match 1.15 score 14 scripts

nredell

forecastML:Time Series Forecasting with Machine Learning Methods

The purpose of 'forecastML' is to simplify the process of multi-step-ahead forecasting with standard machine learning algorithms. 'forecastML' supports lagged, dynamic, static, and grouping features for modeling single and grouped numeric or factor/sequence time series. In addition, simple wrapper functions are used to support model-building with most R packages. This approach to forecasting is inspired by Bergmeir, Hyndman, and Koo's (2018) paper "A note on the validity of cross-validation for evaluating autoregressive time series prediction" <doi:10.1016/j.csda.2017.11.003>.

Maintained by Nickalus Redell. Last updated 5 years ago.

deep-learning direct-forecasting forecast forecasting machine-learning multi-step-ahead-forecasting neural-network python time-series

1.3 match 131 stars 7.64 score 134 scripts

chicozo1989

ThermIndex:Calculate Thermal Indexes

Calculates several thermal comfort indexes using temperature, wind speed and relative humidity values, calculating indexes such as Humidex, windchill, Discomfort Index and others.

Maintained by Francisco Jablinski Castelhano. Last updated 8 years ago.

9.5 match 1.00 score 10 scripts

p-chevallier

htsr:Hydro-Meteorology Time-Series

Functions for the management and treatment of hydrology and meteorology time-series stored in a 'Sqlite' data base.

Maintained by Pierre Chevallier. Last updated 7 months ago.

cpp

2.0 match 4.60 score 2 scripts

hhwangbo

kernplus:A Kernel Regression-Based Multidimensional Wind Turbine Power Curve

Provides wind energy practitioners with an effective machine learning-based tool that estimates a multivariate power curve and predicts the wind power output for a specific environmental condition.

Maintained by Hoon Hwangbo. Last updated 6 years ago.

9.1 match 1.00 score 2 scripts

cran

CircOutlier:Detection of Outliers in Circular-Circular Regression

Detection of outliers in circular-circular regression models, modifying its and estimating of models parameters.

Maintained by Azade Ghazanfarihesari. Last updated 9 years ago.

9.0 match 1.00 score

cran

SailoR:An Extension of the Taylor Diagram to Two-Dimensional Vector Data

A new diagram for the verification of vector variables (wind, current, etc) generated by multiple models against a set of observations is presented in this package. It has been designed as a generalization of the Taylor diagram to two dimensional quantities. It is based on the analysis of the two-dimensional structure of the mean squared error matrix between model and observations. The matrix is divided into the part corresponding to the relative rotation and the bias of the empirical orthogonal functions of the data. The full set of diagnostics produced by the analysis of the errors between model and observational vector datasets comprises the errors in the means, the analysis of the total variance of both datasets, the rotation matrix corresponding to the principal components in observation and model, the angle of rotation of model-derived empirical orthogonal functions respect to the ones from observations, the standard deviation of model and observations, the root mean squared error between both datasets and the squared two-dimensional correlation coefficient. See the output of function UVError() in this package.

Maintained by Santos J. González-Rojí. Last updated 4 years ago.

8.8 match 1.00 score

r-forge

sirad:Functions for Calculating Daily Solar Radiation and Evapotranspiration

Calculating daily global solar radiation at horizontal surface using several well-known models (i.e. Angstrom-Prescott, Supit-Van Kappel, Hargreaves, Bristow and Campbell, and Mahmood-Hubbard), and model calibration based on ground-truth data, and (3) model auto-calibration. The FAO Penmann-Monteith equation to calculate evapotranspiration is also included.

Maintained by Jedrzej S. Bojanowski. Last updated 8 years ago.

2.7 match 3.18 score 64 scripts

akiriliouk

tailDepFun:Minimum Distance Estimation of Tail Dependence Models

Provides functions implementing minimal distance estimation methods for parametric tail dependence models, as proposed in Einmahl, J.H.J., Kiriliouk, A., Krajina, A., and Segers, J. (2016) <doi:10.1111/rssb.12114> and Einmahl, J.H.J., Kiriliouk, A., and Segers, J. (2018) <doi:10.1007/s10687-017-0303-7>.

Maintained by Anna Kiriliouk. Last updated 4 years ago.

4.0 match 2.11 score 13 scripts

cran

CircNNTSR:Statistical Analysis of Circular Data using Nonnegative Trigonometric Sums (NNTS) Models

Includes functions for the analysis of circular data using distributions based on Nonnegative Trigonometric Sums (NNTS). The package includes functions for calculation of densities and distributions, for the estimation of parameters, for plotting and more.

Maintained by Maria Mercedes Gregorio-Dominguez. Last updated 2 years ago.

4.5 match 1.78 score 2 dependents

filgueirasr

BrazilMet:Download and Processing of Automatic Weather Stations (AWS) Data of INMET-Brazil

A compilation of functions to download and processing AWS data of INMET-Brazil, with the purpose of reference evapotranspiration (ETo) estimation. The package aims to make meteorological and agricultural data analysis more parsimonious.

Maintained by Roberto Filgueiras. Last updated 6 days ago.

1.8 match 11 stars 4.44 score 4 scripts

ecofire

firebehavioR:Prediction of Wildland Fire Behavior and Hazard

Fire behavior prediction models, including the Scott & Reinhardt's (2001) Rothermel Wildland Fire Modelling System <DOI:10.2737/RMRS-RP-29> and Alexander et al.'s (2006) Crown Fire Initiation & Spread model <DOI:10.1016/j.foreco.2006.08.174>. Also contains sample datasets, estimation of fire behavior prediction model inputs (e.g., fuel moisture, canopy characteristics, wind adjustment factor), results visualization, and methods to estimate fire weather hazard.

Maintained by Justin Ziegler. Last updated 6 years ago.

2.4 match 3 stars 3.26 score 12 scripts

rte-antares-rpackage

antaresViz:Antares Visualizations

Visualize results generated by Antares, a powerful open source software developed by RTE to simulate and study electric power systems (more information about 'Antares' here: <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). This package provides functions that create interactive charts to help 'Antares' users visually explore the results of their simulations.

Maintained by Tatiana Vargas. Last updated 2 months ago.

adequacy bilan dygraphs electric energy leaflet linear-programming manipulatewidge monte-carlo-simulation optimization plotly previsionnel renewable-energy rte shiny shiny-apps simulation stochastic-simulation-algorithm tyndp

1.1 match 21 stars 6.83 score 32 scripts

williamqjw

lmreg:Data and Functions Used in Linear Models and Regression with R: An Integrated Approach

Data files and a few functions used in the book 'Linear Models and Regression with R: An Integrated Approach' by Debasis Sengupta and Sreenivas Rao Jammalamadaka (2019).

Maintained by Jinwen Qiu. Last updated 6 years ago.

3.6 match 2.06 score 116 scripts

cran

COST:Copula-Based Semiparametric Models for Spatio-Temporal Data

Parameter estimation, one-step ahead forecast and new location prediction methods for spatio-temporal data.

Maintained by Yanlin Tang. Last updated 6 years ago.

3.6 match 2.00 score

paocorrales

rvad:Velocity Azimuth Display of Meteorological Radars

This package implement an algorithm to process radial wind from Doppler radars obtainning the proper horizontal wind. The implementation is based on Browning and Wexler (1968) <doi: 10.1175/1520-0450(1968)007%3C0105:TDOKPO%3E2.0.CO;2> with the addition of several quality controls.

Maintained by Paola Corrales. Last updated 5 years ago.

2.8 match 4 stars 2.53 score 17 scripts

cran

MTDrh:Mass Transportation Distance Rank Histogram

The Mass Transportation Distance rank histogram was developed to assess the reliability of scenarios with equal or different probabilities of occurrence <doi:10.1002/we.1872>.

Maintained by Didem Sari. Last updated 8 years ago.

6.8 match 1.00 score

elipousson

filenamr:Make and Modify File Names and Metadata

Work with filenames and paths and read and write file metadata.

Maintained by Eli Pousson. Last updated 4 months ago.

file-naming

1.7 match 3 stars 4.03 score 3 scripts 6 dependents

indecis-project

INQC:Quality Control of Climatological Daily Time Series

Collection of functions for quality control (QC) of climatological daily time series (e.g. the ECA&D station data).

Maintained by Enric Aguilar. Last updated 4 years ago.

1.9 match 4 stars 3.30 score 1 scripts

faosorios

MVT:Estimation and Testing for the Multivariate t-Distribution

Routines to perform estimation and inference under the multivariate t-distribution <doi:10.1007/s10182-022-00468-2>. Currently, the following methodologies are implemented: multivariate mean and covariance estimation, hypothesis testing about equicorrelation and homogeneity of variances, the Wilson-Hilferty transformation, QQ-plots with envelopes and random variate generation.

Maintained by Felipe Osorio. Last updated 6 months ago.

4.0 match 1.53 score 34 scripts

pik-piam

mredgebuildings:Prepare data to be used by the EDGE-Buildings model

Prepare data to be used by the EDGE-Buildings model.

Maintained by Robin Hasse. Last updated 2 days ago.

1.6 match 3.72 score

cran

windAC:Area Correction Methods

Post-construction fatality monitoring studies at wind facilities are based on data from searches for bird and bat carcasses in plots beneath turbines. Bird and bat carcasses can fall outside of the search plot. Bird and bat carcasses from wind turbines often fall outside of the searched area. To compensate, area correction (AC) estimations are calculated to estimate the percentage of fatalities that fall within the searched area versus those that fall outside of it. This package provides two likelihood based methods and one physics based method (Hull and Muir (2010) <doi:10.1080/14486563.2010.9725253>, Huso and Dalthorp (2014) <doi:10.1002/jwmg.663>) to estimate the carcass fall distribution. There are also functions for calculating the proportion of area searched within one unit annuli, log logistic distribution functions, and truncated distribution functions.

Maintained by Daniel Riser-Espinoza. Last updated 2 years ago.

5.9 match 1.00 score

paulnorthrop

lite:Likelihood-Based Inference for Time Series Extremes

Performs likelihood-based inference for stationary time series extremes. The general approach follows Fawcett and Walshaw (2012) <doi:10.1002/env.2133>. Marginal extreme value inferences are adjusted for cluster dependence in the data using the methodology in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>, producing an adjusted log-likelihood for the model parameters. A log-likelihood for the extremal index is produced using the K-gaps model of Suveges and Davison (2010) <doi:10.1214/09-AOAS292>. These log-likelihoods are combined to make inferences about extreme values. Both maximum likelihood and Bayesian approaches are available.

Maintained by Paul J. Northrop. Last updated 8 months ago.

clustered extremal-index extreme-value-statistics extremes frequentist generalised-pareto inference likelihood log-likelihood threshold time-series

1.3 match 3 stars 4.56 score 12 scripts

jaggh

climatol:Climate Tools (Series Homogenization and Derived Products)

Functions for the quality control, homogenization and missing data filling of climatological series and to obtain climatological summaries and grids from the results. Also functions to display wind-roses, meteograms, Walter&Lieth diagrams, and more.

Maintained by Jose A. Guijarro. Last updated 12 months ago.

2.5 match 2 stars 2.16 score 67 scripts

r-forge

rNOMADS:An interface to the NOAA Operational Model Archive and Distribution System

An interface to the National Oceanic and Atmospheric Administration's Operational Model Archive and Distribution System (NOMADS) that allows R users to quickly and efficiently download global and regional weather model data for processing. rNOMADS currently supports a variety of models ranging from global weather data to an altitude of 40 km, to high resolution regional weather models, to wave and sea ice models. It can also retrieve archived NOMADS models. rNOMADS can retrieve binary data in GRIB format as well as import ascii data directly into R by interfacing with the GrADS-DODS system.

Maintained by Daniel C. Bowman. Last updated 2 years ago.

1.7 match 3.11 score 65 scripts

jacobnabe

DEPONS2R:Read, Plot and Analyse Output from the DEPONS Model

Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu> (v.3.0), for manipulating input raster files, shipping routes and for analyzing sound propagated from ships.

Maintained by Jacob Nabe-Nielsen. Last updated 2 months ago.

agent-based-modeling environmental-modelling marine-biology

1.8 match 2.85 score 4 scripts

cran

CircNNTSRmult:Multivariate Circular Data using MNNTS Models

A collection of utilities for the statistical analysis of multivariate circular data using distributions based on Multivariate Nonnegative Trigonometric Sums (MNNTS). The package includes functions for calculation of densities and distributions, for the estimation of parameters, and more.

Maintained by Maria Mercedes Gregorio-Dominguez. Last updated 2 years ago.

4.5 match 1.00 score

ybrugnara

dataresqc:C3S Quality Control Tools for Historical Climate Data

Quality control and formatting tools developed for the Copernicus Data Rescue Service. The package includes functions to handle the Station Exchange Format (SEF), various statistical tests for climate data at daily and sub-daily resolution, as well as functions to plot the data. For more information and documentation see <https://datarescue.climate.copernicus.eu/st_data-quality-control>.

Maintained by Yuri Brugnara. Last updated 2 years ago.

1.7 match 2.70 score 7 scripts

liumiguo

simET:Tools for Simulation of Evapotranspiration of Field Crops and Soil Water Balance

Supports the calculation of meteorological characteristics in evapotranspiration research and reference crop evapotranspiration, and offers three models to simulate crop evapotranspiration and soil water balance in the field, including single crop coefficient and dual crop coefficient, as well as the Shuttleworth-Wallace model. These calculations main refer to Allen et al.(1998, ISBN:92-5-104219-5), Teh (2006, ISBN:1-58-112-998-X), and Liu et al.(2006) <doi:10.1016/j.agwat.2006.01.018>.

Maintained by Minguo Liu. Last updated 2 years ago.

3.6 match 1.00 score 9 scripts

cdmuir

tealeaves:Solve for Leaf Temperature Using Energy Balance

Implements models of leaf temperature using energy balance. It uses units to ensure that parameters are properly specified and transformed before calculations. It allows separate lower and upper surface conductances to heat and water vapour, so sensible and latent heat loss are calculated for each surface separately as in Foster and Smith (1986) <doi:10.1111/j.1365-3040.1986.tb02108.x>. It's straightforward to model leaf temperature over environmental gradients such as light, air temperature, humidity, and wind. It can also model leaf temperature over trait gradients such as leaf size or stomatal conductance. Other references are Monteith and Unsworth (2013, ISBN:9780123869104), Nobel (2009, ISBN:9780123741431), and Okajima et al. (2012) <doi:10.1007/s11284-011-0905-5>.

Maintained by Chris Muir. Last updated 1 years ago.

0.5 match 11 stars 6.69 score 49 scripts 1 dependents

adunaic

forecastLSW:Forecasting Routines for Locally Stationary Wavelet Processes

Implementation to perform forecasting of locally stationary wavelet processes by examining the local second order structure of the time series.

Maintained by Rebecca Killick. Last updated 2 years ago.

3.3 match 1.00 score 3 scripts

aahani-r

FAO56:Evapotranspiration Based on FAO Penman-Monteith Equation

Calculation of Evapotranspiration by FAO Penman-Monteith equation based on Allen, R. G., Pereira, L. S., Raes, D., Smith, M. (1998, ISBN:92-5-104219-5) "Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56".

Maintained by Ali Ahani. Last updated 1 years ago.

1.7 match 1.70 score 2 scripts

fergusreiggracia

ClimInd: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).

Maintained by Fergus Reig-Gracia. Last updated 6 days ago.

0.8 match 3.64 score 22 scripts

marinasams

KarsTS:An Interface for Microclimate Time Series Analysis

An R code with a GUI for microclimate time series, with an emphasis on underground environments. 'KarsTS' provides linear and nonlinear methods, including recurrence analysis (Marwan et al. (2007) <doi:10.1016/j.physrep.2006.11.001>) and filling methods (Moffat et al. (2007) <doi:10.1016/j.agrformet.2007.08.011>), as well as tools to manipulate easily time series and gap sets.

Maintained by Marina Saez. Last updated 4 years ago.

2.0 match 1.38 score 24 scripts

taikisan21

PAMscapes:Tools for Summarising and Analysing Soundscape Data

A variety of tools relevant to the analysis of marine soundscape data. There are tools for downloading AIS (automatic identification system) data from Marine Cadastre <https://hub.marinecadastre.gov>, connecting AIS data to GPS coordinates, plotting summaries of various soundscape measurements, and downloading relevant environmental variables (wind, swell height) from the National Center for Atmospheric Research data server <https://rda.ucar.edu/datasets/ds084.1/>. Most tools were developed to work well with output from 'Triton' software, but can be adapted to work with any similar measurements.

Maintained by Taiki Sakai. Last updated 2 days ago.

0.5 match 8 stars 5.34 score 22 scripts

pepijn-devries

ggfields:Add Vector Field Layers to Ggplots

Add vector field layers to ggplots. Ideal for visualising wind speeds, water currents, electric/magnetic fields, etc. Accepts data.frames, simple features (sf), and spatiotemporal arrays (stars) objects as input. Vector fields are depicted as arrows starting at specified locations, and with specified angles and radii.

Maintained by Pepijn de Vries. Last updated 8 months ago.

0.5 match 4 stars 5.16 score 12 scripts

panukatan

bagyo:Philippine Tropical Cyclones Data

The Philippines frequently experiences tropical cyclones (called 'bagyo' in the Filipino language) because of its geographical position. These cyclones typically bring heavy rainfall, leading to widespread flooding, as well as strong winds that cause significant damage to human life, crops, and property. Data on cyclones are collected and curated by the Philippine Atmospheric, Geophysical, and Astronomical Services Administration or 'PAGASA' and made available through its website <https://bagong.pagasa.dost.gov.ph/tropical-cyclone/publications/annual-report>. This package contains Philippine tropical cyclones data in a machine-readable format. It is hoped that this data package provides an interesting and unique dataset for data exploration and visualisation.

Maintained by Ernest Guevarra. Last updated 8 months ago.

cyclones data philippines

0.5 match 2 stars 5.00 score 6 scripts

marc-girondot

HelpersMG:Tools for Environmental Analyses, Ecotoxicology and Various R Functions

Contains miscellaneous functions useful for managing 'NetCDF' files (see <https://en.wikipedia.org/wiki/NetCDF>), get moon phase and time for sun rise and fall, tide level, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.

Maintained by Marc Girondot. Last updated 2 months ago.

0.5 match 4 stars 4.59 score 160 scripts 4 dependents

ullid

MeTo:Meteorological Tools

Meteorological Tools following the FAO56 irrigation paper of Allen et al. (1998) [1]. Functions for calculating: reference evapotranspiration (ETref), extraterrestrial radiation (Ra), net radiation (Rn), saturation vapor pressure (satVP), global radiation (Rs), soil heat flux (G), daylight hours, and more. [1] Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300(9).

Maintained by Ullrich Dettmann. Last updated 3 years ago.

1.9 match 1.18 score 15 scripts

ramikrispin

USgrid:The Demand and Supply for Electricity in the US

Provides a set of regular time-series datasets, describing the US electricity grid. That includes the total demand and supply, and as well as the demand by energy source (coal, solar, wind, etc.). Source: US Energy Information Administration (Mar 2021) <https://www.eia.gov/>.

Maintained by Rami Krispin. Last updated 4 years ago.

0.5 match 25 stars 4.10 score 8 scripts

pmarchand1

waver:Calculate Fetch and Wave Energy

Functions for calculating the fetch (length of open water distance along given directions) and estimating wave energy from wind and wave monitoring data.

Maintained by Philippe Marchand. Last updated 1 years ago.

0.5 match 5 stars 3.70 score 20 scripts

jimduggan

aimsir17:Irish Weather Observing Stations Hourly Records for 2017

Named after the Irish name for weather, this package contains tidied data from the Irish Meteorological Service's hourly observations for 2017. In all, the data sets include observations from 25 weather stations, and also latitude and longitude coordinates for each weather station. Now includes energy generation data for Ireland and Northern Ireland (2017), including Wind Generation data.

Maintained by Jim Duggan. Last updated 5 years ago.

0.5 match 1 stars 3.64 score 88 scripts

imranshakoor

DataSetsUni:A Collection of Univariate Data Sets

A collection of widely used univariate data sets of various applied domains on applications of distribution theory. The functions allow researchers and practitioners to quickly, easily, and efficiently access and use these data sets. The data are related to different applied domains and as follows: Bio-medical, survival analysis, medicine, reliability analysis, hydrology, actuarial science, operational research, meteorology, extreme values, quality control, engineering, finance, sports and economics. The total 100 data sets are documented along with associated references for further details and uses.

Maintained by Muhammad Imran. Last updated 2 years ago.

1.8 match 1.00 score 1 scripts

ullid

SoilHyP:Soil Hydraulic Properties

Provides functions for (1) soil water retention (SWC) and unsaturated hydraulic conductivity (Ku) (van Genuchten-Mualem (vGM or vG) [1, 2], Peters-Durner-Iden (PDI) [3, 4, 5], Brooks and Corey (bc) [8]), (2) fitting of parameter for SWC and/or Ku using Shuffled Complex Evolution (SCE) optimisation and (3) calculation of soil hydraulic properties (Ku and soil water contents) based on the simplified evaporation method (SEM) [6, 7]. Main references: [1] van Genuchten (1980) <doi:10.2136/sssaj1980.03615995004400050002x>, [2] Mualem (1976) <doi:10.1029/WR012i003p00513>, [3] Peters (2013) <doi:10.1002/wrcr.20548>, [4] Iden and Durner (2013) <doi:10.1002/2014WR015937>, [5] Peters (2014) <doi:10.1002/2014WR015937>, [6] Wind G. P. (1966), [7] Peters and Durner (2008) <doi:10.1016/j.jhydrol.2008.04.016> and [8] Brooks and Corey (1964).

Maintained by Ullrich Dettmann. Last updated 2 years ago.

0.5 match 3.32 score 35 scripts 2 dependents

cran

RNCEP:Obtain, Organize, and Visualize NCEP Weather Data

Contains functions to retrieve, organize, and visualize weather data from the NCEP/NCAR Reanalysis (<https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html>) and NCEP/DOE Reanalysis II (<https://psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html>) datasets. Data are queried via the Internet and may be obtained for a specified spatial and temporal extent or interpolated to a point in space and time. We also provide functions to visualize these weather data on a map. There are also functions to simulate flight trajectories according to specified behavior using either NCEP wind data or data specified by the user.

Maintained by Michael U. Kemp. Last updated 2 months ago.

0.5 match 1 stars 2.95 score 90 scripts

ddalthorp

dwp:Density-Weighted Proportion

Fit a Poisson regression to carcass distance data and integrate over the searched area at a wind farm to estimate the fraction of carcasses falling in the searched area and format the output for use as the dwp parameter in the 'GenEst' or 'eoa' package for estimating bird and bat mortality, following Dalthorp, et al. (2022) <arXiv:2201.10064>.

Maintained by Daniel Dalthorp. Last updated 2 years ago.

0.5 match 1 stars 2.70 score

mrc-ide

conan2:Conan the Librarian

Create libraries. For us, there is no spring. Just the wind that smells fresh before the storm.

Maintained by Rich FitzJohn. Last updated 17 days ago.

0.6 match 2.48 score 1 scripts 1 dependents

cran

SwissAir:Air Quality Data of Switzerland for One Year in 30 Min Resolution

Ozone, NOx (= Sum of nitrogen monoxide and nitrogen dioxide), nitrogen monoxide, ambient temperature, dew point, wind speed and wind direction at 3 sites around lake of Lucerne in Central Switzerland in 30 min time resolution for year 2004.

Maintained by Christoph Hofer. Last updated 1 years ago.

0.8 match 1 stars 1.00 score 5 scripts

cran

CDFt:Downscaling and Bias Correction via Non-Parametric CDF-Transform

Statistical downscaling and bias correction (model output statistics) method based on cumulative distribution functions (CDF) transformation. See Michelangeli, Vrac, Loukos (2009) Probabilistic downscaling approaches: Application to wind cumulative distribution functions. Geophysical Research Letters, 36, L11708, <doi:10.1029/2009GL038401>. ; and Vrac, Drobinski, Merlo, Herrmann, Lavaysse, Li, Somot (2012) Dynamical and statistical downscaling of the French Mediterranean climate: uncertainty assessment. Nat. Hazards Earth Syst. Sci., 12, 2769-2784, www.nat-hazards-earth-syst-sci.net/12/2769/2012/, <doi:10.5194/nhess-12-2769-2012>.

Maintained by Mathieu Vrac. Last updated 4 years ago.

0.5 match 1.52 score 11 scripts 1 dependents

ddalthorp

eoa3:Wildlife Mortality Estimator for Low Fatality Rates and Imperfect Detection

Evidence of Absence software (EoA) is a user-friendly application for estimating bird and bat fatalities at wind farms and designing search protocols. The software is particularly useful in addressing whether the number of fatalities has exceeded a given threshold and what search parameters are needed to give assurance that thresholds were not exceeded. The models are applicable even when zero carcasses have been found in searches, following Huso et al. (2015) <doi:10.1890/14-0764.1>, Dalthorp et al. (2017) <doi:10.3133/ds1055>, and Dalthorp and Huso (2015) <doi:10.3133/ofr20151227>.

Maintained by Daniel Dalthorp. Last updated 4 months ago.

jags cpp

0.5 match 1.00 score

rmarubayashi

AgroTech:Data Analysis of Pesticide Application Technology

In total it has 7 functions, three for calculating machine calibration, which determine application rate (L/ha), nozzle flow (L/min) and amount of product (L or kg) to be added. to the tank with each sprayer filling. Two functions for graphs of the flow distribution of the nozzles (L/min) in the application bar and, of the temporal variability of the meteorological conditions (air temperature, relative humidity of the air and wind speed). Two functions to determine the spray deposit (uL/cm2), through the methodology called spectrophotometry, with the aid of bright blue (Palladini, L.A., Raetano, C.G., Velini, E.D. (2005), <doi:10.1590/S0103-90162005000500005>) or metallic markers (Chaim, A., Castro, V.L.S.S., Correles, F.M., Galvão, J.A.H., Cabral, O.M.R., Nicolella, G. (1999), <doi:10.1590/S0100-204X1999000500003>). The package supports the analysis and representation of information, using a single free software that meets the most diverse areas of activity in application technology.

Maintained by Rodrigo Yudi Palhaci Marubayashi. Last updated 3 years ago.

openjdk

0.5 match 1.00 score 3 scripts