R Observatory: Metrics for geospatialsuite version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

geospatialsuite

0.2.0Package record

Comprehensive Geospatiotemporal Analysis and Multimodal Integration Toolkit

0packages depend

3.1Kdownloads / year

22.1%test coverage

13/13flavors OK

Overview

About

Maintained by Olatunde D. AkanbiCRAN page ↗GitHub ↗Website ↗Issues ↗

A comprehensive toolkit for geospatiotemporal analysis featuring 60+ vegetation indices, advanced raster visualization, universal spatial mapping, water quality analysis, CDL crop analysis, spatial interpolation, temporal analysis, and terrain analysis. Designed for agricultural research, environmental monitoring, remote sensing applications, and publication-quality mapping with support for any geographic region and robust error handling. Methods include vegetation indices calculations (Rouse et al. 1974), NDVI and enhanced vegetation indices (Huete et al. 1997) doi:10.1016/S0034-4257(97)00104-1, (Akanbi et al. 2024) doi:10.1007/s41651-023-00164-y, spatial interpolation techniques (Cressie 1993, ISBN:9780471002556), water quality indices (McFeeters 1996) doi:10.1080/01431169608948714, and crop data layer analysis (USDA NASS 2024) https://www.nass.usda.gov/Research_and_Science/Cropland/. Funding: This material is based upon financial support by the National Science Foundation, EEC Division of Engineering Education and Centers, NSF Engineering Research Center for Advancing Sustainable and Distributed Fertilizer production (CASFER), NSF 20-553 Gen-4 Engineering Research Centers award 2133576.

Changes in 0.2.0

Major Improvements

Working Examples and Sample Data

Added built-in sample datasets (~150KB) to inst/extdata/
sample_red.rds, sample_nir.rds, sample_blue.rds - Spectral bands
sample_green.rds, sample_swir1.rds - Additional bands
sample_multiband.rds - Multi-band stack for auto-detection examples
sample_points.shp - Sample field locations
sample_boundary.shp - Study area polygon
sample_coordinates.csv - Tabular data with coordinates
New download_sample_data() function for accessing sample data
New get_sample_data() helper to get file paths
New list_sample_datasets() to browse available datasets

Show all changes in 0.2.0Hide the rest of the changes in 0.2.0

New load_sample_data() convenience function to load data directly
All README examples now work out-of-the-box
All vignettes updated with working code using sample data
All function examples (.Rd files) updated to use built-in data

Testing Improvements

Fixed EVI calculation warnings in test suite
Tests now provide all required bands (red, nir, blue) for EVI
Separated EVI tests from general vegetation index tests
Improved test coverage: 68 to 70+ tests

Documentation Enhancements

Created pkgdown website for easy navigation
Organized 185 functions into 10 logical categories
Comprehensive vignettes rendered and searchable
Consistent package naming (geospatialsuite) across all documentation
Enhanced function documentation with working examples

Package Structure

Added data access functions
Added sample data infrastructure in inst/extdata/
Added _pkgdown.yml for website configuration
Improved test utilities and helper functions
Enhanced intelligent filtering for ASTERGDEM and ASTERWB

Bug Fixes

Fixed test warnings related to EVI calculations
Improved error handling in edge cases
Enhanced validation for spectral band inputs
Fixed special character encoding in vignettes and documentation

Documentation

All examples now executable without external dependencies
Vignettes demonstrate real-world workflows with sample data
README provides quick-start guide with working code
Function reference organized by category on pkgdown site
Improved vignette readability with better structure and formatting

---

From NEWS.md in the release

Install

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

install.packages("geospatialsuite", 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("cwru-sdle/geospatialsuite")

Development version from cwru-sdle/geospatialsuite. 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-geospatialsuite

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-geospatialsuite

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-geospatialsuite

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: 9.2 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
WARNING12 OK, 1 WARNING2026-06-07

Show 3 earlier changesHide 3 earlier changes

OK13 OK2026-05-02
ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 2,416 wordsVignettesYes · 9 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileYes · cites a publicationWebsiteYes

Cites a JOSS paper

Help pages: 185 (134 internal)includes a package overview page
Examples that run: 0%13 only when donttest examples are enabled (R CMD check --as-cran) · 31 never run
Exported functions with examples: 77%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (9)

How these are measured

Downloads

3.1K

CRAN downloads in the past year

Rank #13,941 · ~9/day · ~261/mo

Releases R versions

Daily download trend is not available in this view yet.

31830 days

83690 days

3.1K1 year

Compare downloads with other packages →

Also on72 r2u7 autocran

How downloads are counted

Repository

cwru-sdle/geospatialsuite ↗Organization: cwru-sdle

2Stars

2Forks

0Open issues

1Open PRs

1Releases

49Commits

0Commit identities

License file reads as MIT · 49 commits · Last activity 2026-05-07 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 7
Median days to close, 50 most recently updated closed PRs: not measured

Stars over time

2025-09-19 · 12026-07-07 · 2

How these are measured

PracticesBeta

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

Checks run against github.com/cwru-sdle/geospatialsuite on 2026-10-18.

Governance and community (3)

Code of conductContributing guideIssue templates

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-01-02

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Research and citation (1)

CITATION.cff

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

21 external dependencies (excludes base and recommended)

Installing geospatialsuite adds 111 packages (63 with compiled code, 101 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (1)

R >= 3.5.0

Imports (19)

dplyr ggplot2graphicsgrDeviceshtmlwidgets leaflet magrittr miceparallelRColorBrewer rnaturalearth sfstatsstringr terra tigristoolsutilsviridis

LinkingTo (0)

none

Suggests (8)

knitr pkgnet rmarkdown kableExtra nhdplusTools zipcodeR tidygeocoder testthat

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 (6)

Olatunde D. Akanbi

Erika I. Barcelos

Author, Copyright holder

Roger H. French

Author, Copyright holder

Vibha Mandayam

Author

Yinghui Wu

Author

Jeffrey Yarus

Author

Releases (3)

Pick two releases to compare their code metrics.

0.2.0Latest
record
2026-05-08 · current release · diff ↗ ·
added 4 exports
download_sample_data, get_sample_data, list_sample_datasets, load_sample_data
R
R 4.6.0 released · 2026-04-24
0.1.1
record
2025-11-06 · diff ↗ ·
added 2 exports
auto_geocode_data, preview_geocoding
0.1.0
record
2025-09-16
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-09-16
Total releases: 3 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Download size: 679 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("geospatialsuite")

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

It points to 10.21105/joss.09536, 10.1007/s41651-023-00164-y.

The repository also keeps a CITATION.cff.

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 geospatialsuite version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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