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BoundaryStats

2.3.0Package record

Boundary Overlap Statistics

0packages depend
3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Amy LuoCRAN page ↗

Analysis workflow for finding geographic boundaries of ecological or landscape traits and comparing the placement of geographic boundaries of two traits. If data are trait values, trait data are transformed to boundary intensities based on approximate first derivatives across latitude and longitude. The package includes functions to create custom null models based on the input data. The boundary statistics are described in: Fortin, Drapeau, and Jacquez (1996) doi:10.2307/3545584.

Changes in 2.3.0

---

Updates

  • length of boundaries is calculated as distance from farthest points through edges of a subgraph of adjacent boundary elements, instead of straight line between points
  • Gaussian neutral model uses autocorrelation range based on variogram, rather than LISA clusters
  • categorical_boundary function deprecated, and functionality merged with define_boundary function
  • renamed statistical test functions to improve clarity
  • plot_boundary now optionally returns a SpatRaster object with boundary elements and boundary element overlaps
  • removed dependencies on sf and pdqr
  • added dependency on gstat

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 9.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.3.0
READMEYes · 319 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 2.3.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
35
Examples that run
29%4 run in a plain check · 10 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
91%

Downloads

3K
CRAN downloads in the past year
Rank #12,212 · ~8/day · ~246/mo
Daily download trend is not available in this view yet.
36830 days
90690 days
3K1 year
Compare downloads with other packages →
Also on89 r2u43 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing BoundaryStats adds 50 packages (32 with compiled code, 63 MB of source tarballs). Heaviest: sf 9.3 MB, ggplot2 6.0 MB, igraph 4.8 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 2.0.1 (2023), Copyright holder
Thesis advisor
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.3.0Latest
    record
    2025-07-23 · current release · diff ↗ ·
    removed 6 exports
    Odirect, Ox, Oxy, lisa_clusters, max_subgraph, n_subgraph
    added 5 exports
    average_min_distance, average_min_x_to_y, longest_boundary, n_boundaries, n_overlap_boundaries
  • R
    R 4.5.0 released · 2025-04-11
  • 2.2.0
    record
    2024-10-25 · diff ↗ ·
    added 1 export
    lisa_clusters
  • R
    R 4.4.0 released · 2024-04-24
  • 2.1.1
    record
    2023-10-21 · diff ↗
  • 2.0.1
    record
    2023-06-28
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-06-28
Total releases
4 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Bundled data
9.3 KB / 7 files
Download size
94 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BoundaryStats")
Luo, A., & Derryberry, E. (2025). BoundaryStats: Boundary Overlap Statistics (Version 2.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.BoundaryStats

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BoundaryStats version 2.3.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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