The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Linda: Line Transect-Based Nearest Neighbor Distance Analysis

Conducting Line transect-based one-dimensional nearest neighbor distance and conducting hypothesis testing related to local distributional aggregation pattern of species. The reason that such a package is needed is because traditional two-dimensional nearest neighbor distance is not applicable when biodiversity data are sampled via optimal ecological survey methods, like line transects. In comparison to the entire studied region, line transect-collected local biodiversity data are spatially constrained and sampling-limited. To this end, two-dimensional nearest neighbor distance would tend to over-estimate distributional aggregation pattern of species when using this limited biodiversity information. Accordingly, one-dimensional nearest neighbor distance is needed and the associated statistical testing should be established for analyzing line transect-derived biodiversity data.

Version: 1.3
Imports: doParallel, foreach, iterators, parallel, stats
Published: 2026-07-04
DOI: 10.32614/CRAN.package.Linda
Author: Youhua Chen [aut, cre], Tsung-Jen Shen [aut], Xiaoqin Shi [ctb]
Maintainer: Youhua Chen <chenyh at cib.ac.cn>
License: GPL-3
NeedsCompilation: no
CRAN checks: Linda results

Documentation:

Reference manual: Linda.html , Linda.pdf

Downloads:

Package source: Linda_1.3.tar.gz
Windows binaries: r-devel: Linda_1.3.zip, r-release: Linda_1.3.zip, r-oldrel: Linda_1.3.zip
macOS binaries: r-release (arm64): Linda_1.3.tgz, r-oldrel (arm64): Linda_1.3.tgz, r-release (x86_64): Linda_1.3.tgz, r-oldrel (x86_64): Linda_1.3.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Linda to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.