metR

Several functions and utilities that make R better for handling meteorological data in the tidy data paradigm.
https://github.com/eliocamp/metR

Category: Atmosphere
Sub Category: Meteorological Observation and Forecast

Keywords

atmospheric-science ggplot2 r r-package rstats visualization

Keywords from Contributors

visualisation

Last synced: about 19 hours ago
JSON representation

Repository metadata

Tools for Easier Analysis of Meteorological Fields

Host: GitHub
URL: https://github.com/eliocamp/metR
Owner: eliocamp
Created: 2017-07-05T20:09:40.000Z (over 9 years ago)
Default Branch: main
Last Pushed: 2026-11-07T14:50:58.000Z (8 days ago)
Last Synced: 2026-11-14T15:13:09.167Z (about 19 hours ago)
Topics: atmospheric-science, ggplot2, r, r-package, rstats, visualization
Language: R
Homepage: https://eliocamp.github.io/metR/
Size: 547 MB
Stars: 158
Watchers: 3
Forks: 26
Open Issues: 19
Releases: 23
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md

metR

metR packages several functions and utilities that make R better for
handling meteorological data in the tidy data paradigm. It started
mostly sa a packaging of assorted wrappers and tricks that I wrote for
my day to day work as a researcher in atmospheric sciences. Since then,
it has grown organically and for my own needs and feedback from users.

Conceptually it’s divided into visualization tools and data tools.
The former are geoms, stats and scales that help with plotting using
ggplot2, such as
stat_contour_fill() or scale_y_level(), while the later are
functions for common data processing tools in the atmospheric sciences,
such as Derivate() or EOF(); these are implemented to work in the
data.table paradigm,
but also work with regular data frames.

Currently metR is in development but maturing. Most functions check
arguments and there are some tests. However, some functions might change
it’s interface, and functionality can be moved to other packages, so
please bear that in mind.

Installation

You can install metR from CRAN with:

install.packages("metR")

Or the development version with:

if (!requireNamespace("pak", quietly = TRUE)) {
    install.packages("pak")
}
pak::pak("metR")

If you need to read netcdf files, you might need to install the netcdf
and udunits2 libraries. On Ubuntu and it’s derivatives this can be done
by typing

sudo apt install libnetcdf-dev netcdf-bin libudunits2-dev

Citing the package

If you use metR in your research, please consider citing it. You can get
citation information with

citation("metR")
#> To cite metR in publications use:
#> 
#> 
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Manual{,
#>     title = {metR: Tools for Easier Analysis of Meteorological Fields},
#>     author = {Elio Campitelli},
#>     year = {2021},
#>     note = {R package version 0.19.0},
#>     url = {https://eliocamp.github.io/metR/},
#>     doi = {10.5281/zenodo.2593516},
#>   }

Examples

In this example we easily perform Principal Components Decomposition
(EOF) on monthly geopotential height, then compute the geostrophic wind
associated with this field and plot the field with filled contours and
the wind with streamlines.

library(metR)
library(data.table)
#> 
#> Attaching package: 'data.table'
#> The following object is masked from 'package:base':
#> 
#>     %notin%
library(ggplot2)
data(geopotential)
# Use Empirical Orthogonal Functions to compute the Antarctic Oscillation
geopotential <- copy(geopotential)
geopotential[, gh.t.w := Anomaly(gh)*sqrt(cos(lat*pi/180)),
      by = .(lon, lat, month(date))]
aao <- EOF(gh.t.w ~ lat + lon | date, data = geopotential, n = 1)
aao$left[, c("u", "v") := GeostrophicWind(gh.t.w/sqrt(cos(lat*pi/180)), 
                                                    lon, lat)]

# AAO field
binwidth <- 0.01
ggplot(aao$left, aes(lon, lat)) +
    geom_contour_fill(aes(z = gh.t.w/sqrt(cos(lat*pi/180)), 
                          fill = after_stat(level)), binwidth = binwidth,
                      xwrap = c(0, 360)) +
    geom_streamline(aes(dx = dlon(u, lat), dy = dlat(v)),
                    linewidth = 0.4, L = 80, skip = 3, xwrap = c(0, 360)) +
    scale_x_longitude() +
    scale_y_latitude(limits = c(-90, -20)) +
    scale_fill_divergent_discretised(name = "AAO pattern") +
    coord_polar()
#> Warning in .check_wrap_param(list(...)): 'xwrap' and 'ywrap' will be
#> deprecated. Use ggperiodic::periodic insead.

# AAO signal
ggplot(aao$right, aes(date, gh.t.w)) +
    geom_line() +
    geom_smooth(span = 0.4)
#> `geom_smooth()` using method = 'loess' and formula = 'y ~ x'

You can read more in the vignettes: Visualization
tools
and Working with
data.

Owner metadata

Name: Elio Campitelli
Login: eliocamp
Email:
Kind: user
Description: Research Fellow at Monash University
Website:
Location: Melbourne, Australia
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/8617595?u=0a35e19e70d548ee941960abf40efd92f2209972&v=4
Repositories: 181
Last ynced at: 2026-11-11T13:33:11.600Z
Profile URL: https://github.com/eliocamp

GitHub Events

Total

Create event: 6
Delete event: 1
Fork event: 5
Issue comment event: 21
Issues event: 23
Pull request event: 6
Pull request review comment event: 2
Pull request review event: 2
Push event: 82
Release event: 4
Watch event: 12

Last Year

Create event: 1
Fork event: 1
Issue comment event: 5
Issues event: 6
Pull request event: 1
Pull request review comment event: 1
Push event: 21
Release event: 1
Watch event: 1

Committers metadata

Last synced: 3 days ago

Total Commits: 1,171
Total Committers: 8
Avg Commits per committer: 146.375
Development Distribution Score (DDS): 0.021

Commits in past year: 51
Committers in past year: 3
Avg Commits per committer in past year: 17.0
Development Distribution Score (DDS) in past year: 0.157

Name	Email	Commits
Elio Campitelli	e**i@g**m	1146
Teun van den Brand	4****d	10
Breeze-Hu	1**7@q**m	7
olivroy	o**1@h**m	4
Paul Murrell	p**l@s**z	1
Paola Corrales	p****s	1
Matt	3****r	1
Hadley Wickham	h**m@g**m	1

Committer domains:

stat.auckland.ac.nz: 1
qq.com: 1

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 193
Total pull requests: 24
Average time to close issues: 6 months
Average time to close pull requests: 14 days
Total issue authors: 49
Total pull request authors: 9
Average comments per issue: 1.07
Average comments per pull request: 0.96
Merged pull request: 14
Bot issues: 0
Bot pull requests: 0

Past year issues: 4
Past year pull requests: 2
Past year average time to close issues: 14 days
Past year average time to close pull requests: 2 months
Past year issue authors: 3
Past year pull request authors: 2
Past year average comments per issue: 1.25
Past year average comments per pull request: 1.5
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/eliocamp/metR

Top Issue Authors

eliocamp (120)
paocorrales (6)
pascaloettli (5)
lemuscanovas (5)
fipoucat (4)
m-saenger (3)
chrisdane (3)
PanfengZhang (3)
Breeze-Hu (2)
delie0512 (2)
rsbivand (2)
galenholt (1)
schckngs (1)
symbalex (1)
WMueller11 (1)

Top Pull Request Authors

eliocamp (10)
teunbrand (4)
olivroy (4)
raymondben (1)
m-saenger (1)
paocorrales (1)
hadley (1)
pmur002 (1)
Breeze-Hu (1)

Top Issue Labels

enhancement (27)
bug (11)
Derivatives (4)
decision (3)
questionable (3)
reprex needed (1)

Top Pull Request Labels

hacktoberfest-accepted (1)

Package metadata

Total packages: 4
Total downloads:
- cran: 5,906 last-month
Total docker downloads: 42,058
Total dependent packages: 23 (may contain duplicates)
Total dependent repositories: 31 (may contain duplicates)
Total versions: 81
Total maintainers: 1

cran.r-project.org: metR

Tools for Easier Analysis of Meteorological Fields

Homepage: https://eliocamp.github.io/metR/
Documentation: http://cran.r-project.org/web/packages/metR/metR.pdf
Licenses: GPL-3
Latest release: 0.19.0 (published about 1 month ago)
Last Synced: 2026-11-13T14:31:38.292Z (2 days ago)
Versions: 24
Dependent Packages: 21
Dependent Repositories: 31
Downloads: 5,906 Last month
Docker Downloads: 42,058
Rankings:
- Stargazers count: 3.083%
- Dependent packages count: 3.45%
- Forks count: 3.518%
- Average: 4.43%
- Dependent repos count: 4.838%
- Downloads: 7.259%
Maintainers (1)
- eliocampitelli@gmail.com

proxy.golang.org: github.com/eliocamp/metr

Homepage:
Documentation: https://pkg.go.dev/github.com/eliocamp/metr#section-documentation
Licenses:
Latest release: v0.19.0 (published about 1 month ago)
Last Synced: 2026-11-13T14:31:51.915Z (2 days ago)
Versions: 22
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
- Dependent packages count: 5.459%
- Average: 5.642%
- Dependent repos count: 5.825%

proxy.golang.org: github.com/eliocamp/metR

Homepage:
Documentation: https://pkg.go.dev/github.com/eliocamp/metR#section-documentation
Licenses:
Latest release: v0.19.0 (published about 1 month ago)
Last Synced: 2026-11-13T14:31:59.880Z (2 days ago)
Versions: 22
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
- Dependent packages count: 5.459%
- Average: 5.642%
- Dependent repos count: 5.825%

conda-forge.org: r-metr

Homepage: https://github.com/eliocamp/metR
Licenses: GPL-3.0-only
Latest release: 0.13.0 (published about 4 years ago)
Last Synced: 2026-07-24T19:58:10.310Z (4 months ago)
Versions: 13
Dependent Packages: 2
Dependent Repositories: 0
Rankings:
- Dependent packages count: 19.506%
- Stargazers count: 28.45%
- Average: 29.179%
- Dependent repos count: 34.025%
- Forks count: 34.734%

Dependencies

DESCRIPTION cran

R >= 2.10 depends
Formula * imports
RCurl * imports
checkmate * imports
data.table * imports
digest * imports
fields * imports
formula.tools * imports
ggplot2 >= 3.0.0 imports
grid * imports
gtable * imports
isoband * imports
lubridate * imports
memoise * imports
plyr * imports
purrr * imports
scales * imports
sp * imports
stringr * imports
PCICt * suggests
covr * suggests
gridExtra * suggests
here * suggests
irlba * suggests
knitr * suggests
kriging * suggests
maps * suggests
maptools * suggests
ncdf4 * suggests
pkgdown * suggests
proj4 * suggests
raster * suggests
reshape2 * suggests
rgdal * suggests
rmarkdown * suggests
testthat >= 2.1.0 suggests
udunits2 * suggests
vdiffr * suggests
viridis * suggests

.github/workflows/R-CMD-check.yaml actions

actions/cache v2 composite
actions/checkout v2 composite
actions/upload-artifact main composite
r-lib/actions/setup-pandoc v1 composite
r-lib/actions/setup-r v1 composite

.github/workflows/pkgdown.yaml actions

actions/cache v2 composite
actions/checkout v2 composite
r-lib/actions/setup-pandoc v1 composite
r-lib/actions/setup-r v1 composite

.github/workflows/revdepcheck.yaml actions

.github/workflows/test-coverage.yaml actions

actions/checkout v4 composite
actions/upload-artifact v4 composite
codecov/codecov-action v5 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

Score: 18.035047439185345

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Sustainable Technology

metR

Keywords

Keywords from Contributors

Repository metadata

README.md

metR

Installation

Citing the package

Examples

Owner metadata

GitHub Events

Total

Last Year

Committers metadata

Committer domains:

Issue and Pull Request metadata

Top Issue Authors

Top Pull Request Authors

Top Issue Labels

Top Pull Request Labels

Package metadata

cran.r-project.org: metR

proxy.golang.org: github.com/eliocamp/metr

proxy.golang.org: github.com/eliocamp/metR

conda-forge.org: r-metr

Dependencies