R Observatory: Metrics for meteo version 2.0-5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

meteo

2.0-5Package record

RFSI & STRK Interpolation for Meteo and Environmental Variables

0packages depend

33.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Aleksandar SekulićCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Install

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

install.packages("meteo", 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("AleksandarSekulic/Rmeteo")

Development version from AleksandarSekulic/Rmeteo. 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-meteo

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-meteo

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-meteo

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 9.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-28

Show 5 earlier changesHide 5 earlier changes

NOTE11 OK, 2 NOTE2026-05-07
OK13 OK2026-05-02
ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-03-29
NOTE10 OK, 4 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0-5

READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsiteYes

Help pages: 36
Examples that run: 94%34 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 100%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 75%

Also includes 4 demo scripts (run with demo())

How these are measured

Downloads

33.3K

CRAN downloads in the past year

Rank #6,264 · ~91/day · ~2.8K/mo

Releases R versions

Daily download trend is not available in this view yet.

48030 days

1.3K90 days

33.3K1 year

Compare downloads with other packages →

Also on145 r2u5 autocran214 c2d4u

How downloads are counted

Repository

aleksandarsekulic/rmeteo ↗Account: AleksandarSekulic

21Stars

10Forks

2Open issues

0Open PRs

0Releases

56Commits

3Commit identities

56 commits · Last activity 2026-05-22 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 111
Median days to close, 50 most recently updated closed PRs: not measured

Stars over time

2025-04-16 · 202026-07-07 · 21

How these are measured

PracticesBeta

Checks run against github.com/aleksandarsekulic/rmeteo on 2026-10-11.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

21 external dependencies (excludes base and recommended)

Installing meteo adds 120 packages (70 with compiled code, 114 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, sf 9.3 MB.

Depends (1)

R >= 4.0.0

Imports (24)

methodsutilsstatsDescTools caret data.table dplyr sp spacetime gstat foreachparallelsnowfall doParallel plyr units nabor CAST ranger sf sftime raster terra jsonlite

LinkingTo (0)

none

Suggests (1)

xts

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (5)

Aleksandar Sekulić

Author, Maintainer since 2.0-2 (2023) · added in 2.0-2

Author

Contributor

Contributor

Contributor

Previously maintained by Milan Kilibarda (0.1-4 to 0.1-5).

Listed in earlier versions (1)

Aleksandar Sekulic

no longer listed · 0.1-4 to 0.1-5

Releases (6)

Pick two releases to compare their code metrics.

2.0-5Latest
record
2026-05-22 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
2.0-4
record
2026-03-24 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
unarchivedReturned to CRAN
2024-04-18
2.0-3
record
2024-04-18 · diff ↗ ·
added 1 export
get_coordinates
archivedRemoved from CRAN
2024-04-05
policy violation On Internet access
2.0-2
record
2023-10-14 · diff ↗ ·
removed 1 export
pred.strk1

added 11 exports
temp_geom, cv.strk, data.prepare, acc.metric.fun, near.obs, near.obs.soil, rfsi, pred.rfsi, tune.rfsi, cv.rfsi, get_meteo
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21

Show 4 earlier eventsHide 4 earlier events

R
R 3.3.0 released · 2016-05-03
0.1-5
record
2015-09-24 · diff ↗
0.1-4
record
2015-06-23
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2015-06-23
Total releases: 6 / 11 yrs
License: GPL (>= 2.0) | file LICENCE
Minimum R: ≥ 4.0.0
Bundled data: 2.9 MB / 18 files
Download size: 3.0 MB

Appears in task views

Hydrological Data and Modeling Analysis of Spatial Data

Cite

Cite this package

Run in R for the authors' entry:

citation("meteo")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1002/2013jd020803, 10.3390/rs12101687.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for meteo version 2.0-5 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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