README Last updated: 2024-12-17
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Species-habitat associations in R provides a toolset of
functions in the R programming language to analyze species-habitat
associations. Therefore, information about the location of the species
(as a point pattern) and the environmental conditions (as a raster) is
needed. In order to analyse the data for significant habitat
associations either the location data or the environmental data is
randomized n-times. Then, counts within the habitats are compared
between the observed and the randomized data. Positive or negative
associations are present if the observed counts are higher or lower than
the randomized counts (using quantile thresholds). Methods are described
in Plotkin et al. (2000), Harms et al. (2001) and Wiegand & Moloney
(2014). shar is mainly based on the
spatstat (Baddeley et al. 2015) and
terra (Hijmans 2022) package.
You can find more information and help using the corresponding homepage.
You can install the released version of shar from CRAN with:
install.packages("shar")And the development version from GitHub with:
# install.packages("remotes")
remotes::install_github("r-spatialecology/shar")This also automatically installs all non-base R package dependencies,
namely: classInt, spatstat.explore, spatstat.geom,
spatstat.model, spatstat.random, and terra.
Please refer to vignette("Get started") and the
homepage to get an
introduction to shar.
The shar package is part of our academic work. To cite the package or acknowledge its use in publications, please cite the following paper.
Hesselbarth, M.H.K., (2021). shar: A R package to analyze species-habitat associations using point pattern analysis. Journal of Open Source Software, 6(67), 3811. https://doi.org/10.21105/joss.03811.
If you use the reconstruct_pattern_multi() function, please also cite.
Wudel C., Schlicht R., Berger U. (2023). Multi-trait point pattern reconstruction of plant ecosystems. Methods in Ecology and Evolution, 14, 2668–2679. https://doi.org/10.1111/2041-210X.14206.
The get a BibTex entry, please use citation("shar").
Contributions to shar are highly welcomed and appreciated. This includes any form of feedback, bug reports, feature requests/suggestions, or general questions about the usage.
Please note that the shar package is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
To contribute to this project, please see the Contributing guidelines.