meteoland

2.2.7

Landscape Meteorology Tools

2packages depend

6.9Kdownloads / year

85.8%test coverage

12/13checks pass

Overview

About

Maintained by Miquel De CáceresFirst published 2016-10-0328 releasesCRAN page ↗GitHub ↗

Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) doi:10.1016/j.envsoft.2018.08.003].

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("meteoland", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("emf-creaf/meteoland")

Development version from emf-creaf/meteoland. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-meteoland

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-meteoland

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-meteoland

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

1NOTE12OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 11.2 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.52

85.8%

Coverage · measured lines

100%

Documentation · exports

Dependencies · direct

Check history

NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 68%
Documented parameters: 82%
Return-value docs: 100%
References docs: 34%

Downloads

6.9K

CRAN downloads in the past year

Rank #4,923 · ~19/day · ~574/mo

Releases R versions

Daily download trend is not available in this view yet.

40730 days

1.8K90 days

6.9K1 year

Compare downloads with other packages →

Also on473 r2u3 autocran86 c2d4u

Repository

GitHub ↗ emf-creaf/meteoland

9Stars

3Forks

5Open issues

0Open PRs

10Releases

719Commits

6Contributors

719 commits · Last activity 2026-05-08

Stars over time

2024-04-29 · 92026-07-07 · 9

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/emf-creaf/meteoland on 2026-07-31.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

22 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (17)

methodssf starsstatsRcpp units lifecycle cli dplyr tidyr rlang assertthat purrr ncdfgeom ncmeta lubridate cubelyr

LinkingTo (1)

Rcpp

Suggests (6)

knitr rmarkdown testthat meteospain worldmet tibble

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

medfate medfateland medfate medfateland

Code & Tests

People & History

People (4)

Maintainer (1)

Miquel De Cáceres

Author, Maintainer · added in 0.6.7

Authors (4)

Miquel De Cáceres

Author, Maintainer · added in 0.6.7

Antoine Cabon

Author

Víctor Granda

Author · added in 0.6.7

Nicolas Martin

Author

Listed in earlier versions (1)

Miquel De Caceres

no longer listed · 0.4.3 to 0.6.4

Package Timeline

28 releases. Pick two to compare their code metrics. R releases are shown for context.

2.2.7Latest
2026-05-08 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
2.2.6
2026-02-18 · diff ↗
2.2.5
2025-12-12 · diff ↗
R
R 4.5.0 released · 2025-04-11
2.2.3
2025-01-28 · diff ↗
2.2.2
2024-10-17 · diff ↗
R
R 4.4.0 released · 2024-04-24
2.2.1
2023-11-29 · diff ↗
2.1.0
2023-08-21 · diff ↗
2.0.1
2023-05-29 · diff ↗
R
R 4.3.0 released · 2023-04-21
2.0.0
2023-02-17 · diff ↗
1.0.3
2022-09-08 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.0.2
2022-01-05 · diff ↗

Show 23 earlier events

1.0.1
2021-11-29 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.9.7
2020-10-27 · diff ↗
0.9.4
2020-08-27 · diff ↗
0.9.3
2020-06-09 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.9.2
2020-03-31 · diff ↗
0.8.3
2019-11-05 · diff ↗
0.8.1
2019-05-29 · diff ↗
0.8.0
2019-04-29 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.7.7
2018-10-22 · diff ↗
0.7.5
2018-08-22 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.7.1
2018-03-10 · diff ↗
0.6.7
2017-11-15 · diff ↗
0.6.4
2017-09-05 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.5.9
2017-03-28 · diff ↗
0.5.2
2017-01-11 · diff ↗
0.4.9
2016-11-21 · diff ↗
0.4.3
2016-10-03
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-10-03
Total releases: 28 / 10 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.1.0
Bundled data: 326 KB / 6 files
Download size: 2.4 MB
Installed size: not tracked yet
With dependencies: not tracked yet

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Hydrological Data and Modeling

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