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stationaRy  

Detailed Meteorological Data from Stations All Over the World
View on CRAN: Click here


Download and install stationaRy package within the R console
Install from CRAN:
install.packages("stationaRy")

Install from Github:
library("remotes")
install_github("cran/stationaRy")

Install by package version:
library("remotes")
install_version("stationaRy", "0.5.1")



Attach the package and use:
library("stationaRy")
Maintained by
Richard Iannone
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-17
Latest Update: 2020-01-12
Description:
Acquire hourly meteorological data from stations located all over the world. There is a wealth of data available, with historic weather data accessible from nearly 30,000 stations. The available data is automatically downloaded from a data repository and processed into a 'tibble' for the exact range of years requested. A relative humidity approximation is provided using the 'August-Roche-Magnus' formula, which was adapted from Alduchov and Eskridge (1996) <doi:10.1175%2F1520-0450%281996%29035%3C0601%3AIMFAOS%3E2.0.CO%3B2>.
How to cite:
Richard Iannone (2015). stationaRy: Detailed Meteorological Data from Stations All Over the World. R package version 0.5.1, https://cran.r-project.org/web/packages/stationaRy. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.2 (2015-06-17 08:53), 0.3 (2015-06-23 17:53), 0.4.1 (2015-10-22 08:24), 0.4 (2015-10-12 08:58), 0.5.0 (2019-09-25 16:40)
Other packages that cited stationaRy R package
View stationaRy citation profile
Other R packages that stationaRy depends, imports, suggests or enhances
Complete documentation for stationaRy
Functions, R codes and Examples using the stationaRy R package
Some associated functions: get_met_data . get_station_metadata . pipe . station_coverage . 
Some associated R codes: get_met_data.R . get_station_metadata.R . station_coverage.R . utils-additional_data_fields.R . utils-bucketize_expand.R . utils-inventory_history.R . utils-pipe.R . utils.R . zzz.R .  Full stationaRy package functions and examples
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