R Observatory: Metrics for MultiscaleDTM version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MultiscaleDTM

1.0.1

Multi-Scale Geomorphometric Terrain Attributes

1packages depend

6.7Kdownloads / year

64.6%test coverage

13/13checks pass

Overview

About

Maintained by Alexander IlichFirst published 2022-10-0413 releasesCRAN page ↗GitHub ↗

Calculates multi-scale geomorphometric terrain attributes from regularly gridded digital terrain models using a variable focal windows size (Ilich et al. (2023) doi:10.1111/tgis.13067).

Install

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

install.packages("MultiscaleDTM", 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("ailich/MultiscaleDTM")

Development version from ailich/MultiscaleDTM. 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-multiscaledtm

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-MultiscaleDTM

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-MultiscaleDTM

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

Health

CRAN checks

13OK

Slowest check: 9.5 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.04

64.6%

Coverage · measured lines

100%

Documentation · exports

8

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 2,379 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 93%
Return-value docs: 100%
References docs: 85%

Downloads

6.7K

CRAN downloads in the past year

Rank #7,885 · ~18/day · ~561/mo

Releases R versions

Daily download trend is not available in this view yet.

39230 days

1.1K90 days

6.7K1 year

Compare downloads with other packages →

Also on566 r2u21 autocran

Repository

GitHub ↗ ailich/multiscaledtm

30Stars

3Forks

10Open issues

0Open PRs

18Releases

316Commits

2Contributors

License GPL-3.0 · 316 commits · Last activity 2025-11-25 · 0% stars, 30d

Stars over time

2025-06-24 · 282026-07-07 · 30

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/ailich/multiscaledtm on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Research and citation (1)

CITATION.cff

Show all practices

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.5.0terra

Imports (7)

Rcpp raster dplyr shiny rglstatsutils

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (7)

knitr rmarkdown tmap colorRamps cowplot magick testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

fireexposuR

Code & Tests

People & History

People (4)

Maintainer (1)

Alexander Ilich

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
2025-11-28 · current release · diff ↗
1.0
2025-05-20 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.9.1
2025-01-21 · diff ↗
0.9
2025-01-17 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.8.3
2024-01-22 · diff ↗
0.8.2
2023-09-16 · diff ↗
0.8.1
2023-05-31 · diff ↗
0.8
2023-04-25 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.7.1
2023-04-18 · diff ↗
0.7
2023-04-11 · diff ↗
0.6.0
2023-02-22 · diff ↗
0.5.5
2023-01-30 · diff ↗

Show 2 earlier events

0.5.3
2022-10-04
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-10-04
Total releases: 13 / 4 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Download size: 4.8 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MultiscaleDTM")

The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.

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 MultiscaleDTM version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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