R Observatory: Metrics for sdmpredictors version 0.2.15

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sdmpredictors

0.2.15Package record

Species Distribution Modelling Predictor Datasets

1packages depend

7.7Kdownloads / year

47.3%test coverage

13/13flavors OK

Overview

About

Maintained by Salvador FernandezCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: LifeWatch Belgium

Terrestrial and marine predictors for species distribution modelling from multiple sources, including WorldClim https://www.worldclim.org/,, ENVIREM https://envirem.github.io/, Bio-ORACLE https://bio-oracle.org/ and MARSPEC http://www.marspec.org/.

Changes in 0.2.15

Remove dependency on defunct package rgdal.

From NEWS.md in the release

Install

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

install.packages("sdmpredictors", 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("lifewatch/sdmpredictors")

Development version from lifewatch/sdmpredictors. 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-sdmpredictors

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-sdmpredictors

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-sdmpredictors

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: 7.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.15

READMEYes · 82 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.2.15Citation fileNoWebsiteYes · pkgdown

Help pages: 25 (5 internal)includes a package overview page
Examples that run: 82%14 run in a plain check · 3 never run
Exported functions with examples: 89%
Documented parameters: 98%
Return-value docs: 89%
Help pages citing references: 8%

Vignettes (1)

sdmpredictors quickstart guide HTML

How these are measured

Downloads

7.7K

CRAN downloads in the past year

Rank #4,871 · ~21/day · ~639/mo

Releases R versions

Daily download trend is not available in this view yet.

63330 days

1.7K90 days

7.7K1 year

Compare downloads with other packages →

Also on106 r2u5 autocran222 conda_forge

How downloads are counted

Repository

lifewatch/sdmpredictors ↗Organization: lifewatch

30Stars

7Forks

5Open issues

0Open PRs

9Releases

206Commits

6Commit identities

lifewatchlifewatchvlizbio-oraclerrstatsspecies-distribution-modelling

206 commits · Last activity 2026-07-03 · 0% stars, 30d · Default branch at 0.2.16, ahead of CRAN 0.2.15 (checked 2026-10-22)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 8
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2024-06-27 · 282026-09-11 · 30

How these are measured

PracticesBeta

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

Checks run against github.com/lifewatch/sdmpredictors on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux and Windows, and on R-devel

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-07-03 · The repository has a site deploy workflow

pkgdown site last built 2026-07-03

Reproducibility and dev environment (1)

data-raw/

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing sdmpredictors adds 7 packages (4 with compiled code, 8.9 MB of source tarballs). Heaviest: sp 4.3 MB, Rcpp 1.8 MB, terra 1.5 MB.

Depends (1)

R >= 3.2.5

Imports (5)

R.utilsstatsutilsraster terra

LinkingTo (0)

none

Suggests (7)

ggplot2 reshape2 testthat knitr rmarkdown httr httr2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

EcoCleanR

How these are counted

Code & Tests

People & History

People (6)

Salvador Fernandez

Author, Maintainer since 0.2.9 (2020) · added in 0.2.9

Samuel Bosch

Author

Olivier De Clerck

Contributor · added in 0.2.5

Lennert Schepers

Contributor · added in 0.2.9

Lennert Tyberghein

Contributor · added in 0.2.5

LifeWatch Belgium

Funder · added in 0.2.13

https://lifewatch.be

Previously maintained by Samuel Bosch (0.1.0 to 0.2.8).

Releases (11)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.2.15Latest
record
2023-08-23 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
0.2.14
record
2022-12-14 · diff ↗
0.2.13
record
2022-09-13 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.2.12
record
2022-02-24 · diff ↗
0.2.11
record
2021-12-03 · diff ↗
0.2.10
record
2021-09-20 · diff ↗ ·
added 1 export
sdm_to_bo
R
R 4.1.0 released · 2021-05-18
unarchivedReturned to CRAN
2020-10-13
0.2.9
record
2020-10-13 · diff ↗
archivedRemoved from CRAN
2020-10-05
check issues were not corrected in time
R
R 4.0.0 released · 2020-04-24

Show 8 earlier eventsHide 8 earlier events

R
R 3.6.0 released · 2019-04-26
0.2.8
record
2018-07-19 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.2.6
record
2017-08-15 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.2.5
record
2017-03-20 · diff ↗ ·
added 5 exports
calculate_statistics, dataset_citations, layer_citations, pearson_correlation_matrix, plot_correlation
0.1.0
record
2016-09-27
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-09-27
Total releases: 11 / 10 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.2.5
Download size: 1.9 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sdmpredictors")

Format

Fernandez, S., LifeWatch Belgium, Bosch, S., De Clerck, O., Schepers, L., & Tyberghein, L. (2023). sdmpredictors: Species Distribution Modelling Predictor Datasets (Version 0.2.15) [Computer software]. https://doi.org/10.32614/CRAN.package.sdmpredictors

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 sdmpredictors version 0.2.15 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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