R Observatory: Metrics for h3sdm version 0.1.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

h3sdm

0.1.7Package record

Species Distribution Modeling with H3 Grids

0packages depend

2.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Manuel SpínolaCRAN page ↗GitHub ↗Issues ↗

Provides tools for species distribution modeling using H3 hexagonal grids (Uber Technologies Inc., 2022, https://h3geo.org). Facilitates retrieval of species occurrence records, generation of H3 grids, computation of landscape metrics, and preparation of spatial data for modern species distribution models workflows. Designed for biodiversity and landscape ecology research.

Changes in 0.1.7

Improvements

h3sdm_aoa() no longer depends on vip. Variable importance for ranger and xgboost models is now extracted directly via ranger::importance() and xgboost::xgb.importance(), removing an external dependency after vip was archived from CRAN on 2026-07-13. Behavior is unchanged: importance weighting still uses each engine's native (non-permutation) importance measure.
h3sdm_workflow() and h3sdm_workflows() now warn when a ranger model spec is created without an importance mode (e.g. set_engine("ranger", importance = "impurity")). Without it, h3sdm_aoa() silently falls back to equal variable weights instead of weighting by native importance.

From NEWS.md in the release

Install

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

install.packages("h3sdm", 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("ManuelSpinola/h3sdm")

Development version from ManuelSpinola/h3sdm. 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-h3sdm

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-h3sdm

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-h3sdm

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: 6.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-10-03
ERROR12 OK, 1 ERROR2026-10-02
OK13 OK2026-09-20
ERROR12 OK, 1 ERROR2026-09-13
OK13 OK2026-09-10

Show 10 earlier changesHide 10 earlier changes

ERROR12 OK, 1 ERROR2026-09-04
OK13 OK2026-08-17
ERROR12 OK, 1 ERROR2026-08-06
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-22
ERROR12 OK, 1 ERROR2026-06-20
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK3 OK2026-04-16

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.7

READMEYes · 230 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.7Citation fileNo

Help pages: 36 (1 internal)
Examples that run: 21%7 run in a plain check · 8 only when donttest examples are enabled (R CMD check --as-cran) · 18 never run
Exported functions with examples: 93%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 6%

Vignettes (1)

h3sdm workflow for a single model HTML

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #13,841 · ~7/day · ~215/mo

Releases R versions

Daily download trend is not available in this view yet.

31430 days

85190 days

2.6K1 year

Compare downloads with other packages →

Also on73 r2u2 autocran

How downloads are counted

Repository

manuelspinola/h3sdm ↗Account: ManuelSpinola

9Stars

0Forks

1Open issues

0Open PRs

0Releases

103Commits

2Commit identities

103 commits · Last activity 2026-07-05 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2026-07-14 · 82026-09-19 · 9

How these are measured

PracticesBeta

8 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/manuelspinola/h3sdm on 2026-10-22.

Continuous integration (1)

GitHub Actions

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-07-05 · The repository has a site deploy workflow

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

39 external dependencies (excludes base and recommended)

Installing h3sdm adds 230 packages (115 with compiled code, 191 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, sf 9.3 MB.

Depends (1)

R >= 4.1

Imports (23)

statssf dplyr purrr tibble rlang terra spatialsample recipes rsample tune workflows yardstick ecospat DALEX stacks h3jsr landscapemetrics rbiodatacr spocc exactextractr tidyr cli

LinkingTo (0)

none

Suggests (17)

ggplot2 paisaje knitr rmarkdown here themis DALEXtra ingredients tidyterra tidymodels workflowsets ranger xgboost ggbrick parsnip tidyverse geodata

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 (1)

Manuel Spínola

Author, Maintainer since 0.1.0 (2026)

Releases (8)

Pick two releases to compare their code metrics.

0.1.7Latest
record
2026-07-05 · current release · diff ↗
0.1.6
record
2026-06-15 · diff ↗ ·
added 2 exports
h3sdm_filter_range, h3sdm_pres_from_sf
0.1.5
record
2026-06-12 · diff ↗ ·
added 2 exports
h3sdm_filter_outliers, h3sdm_pres
0.1.4
record
2026-05-29 · diff ↗
0.1.3
record
2026-05-28 · diff ↗ ·
added 1 export
h3sdm_aoa
0.1.2
record
2026-05-22 · diff ↗
0.1.1
record
2026-05-13 · diff ↗ ·
added 2 exports
h3sdm_count_from_records, h3sdm_pa_from_records
R
R 4.6.0 released · 2026-04-24
0.1.0
record
2026-04-15
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-04-15
Total releases: 8 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Bundled data: 874 KB / 3 files
Download size: 1.9 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("h3sdm")

Format

Spínola, M. (2026). h3sdm: Species Distribution Modeling with H3 Grids (Version 0.1.7) [Computer software]. https://doi.org/10.32614/CRAN.package.h3sdm

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 h3sdm version 0.1.7 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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