Climate Modeling with Point Data from Climate Stations
Overview
An automated and streamlined workflow for predictive climate mapping using climate station data. Works within an environment the user provides a destined path to - otherwise it's tempdir(). Quick and relatively easy creation of resilient and reproducible climate models, predictions and climate maps, shortening the usually long and complicated work of predictive modelling. For more information, please find the provided URL. Many methods in this package are new, but the main method is based on a workflow from Meyer (2019) doi:10.1016/j.ecolmodel.2019.108815 and Meyer (2022) doi:10.1038/s41467-022-29838-9 , however, it was generalized and adjusted in the context of this package.
- Initial CRAN submission.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
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- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-03-10
Documentation
- Help pages
- 27
- Examples that run
- 67%8 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 0%
- Median days to close, 50 most recently updated closed issues
- 48
- Median days to close, 50 most recently updated closed PRs
- 127
Stars over time
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8 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/envima/climodr on 2026-10-11.
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Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2025-06-12 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-06-12
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 466 KB / 15 files
- Download size
- 1.5 MB
Cite
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Run in R for the authors' preferred citation:
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