funrar - Functional Rarity Indices Computation
Computes functional rarity indices as proposed by Violle et al. (2017) <doi:10.1016/j.tree.2017.02.002>. Various indices can be computed using both regional and local information. Functional Rarity combines both the functional aspect of rarity as well as the extent aspect of rarity. 'funrar' is presented in Grenié et al. (2017) <doi:10.1111/ddi.12629>.
Last updated 7 months ago
ecological-modelsecologyraritytraits
7.90 score 17 stars 1 packages 257 scripts 434 downloadsfundiversity - Easy Computation of Functional Diversity Indices
Computes six functional diversity indices. These are namely, Functional Divergence (FDiv), Function Evenness (FEve), Functional Richness (FRic), Functional Richness intersections (FRic_intersect), Functional Dispersion (FDis), and Rao's entropy (Q) (reviewed in Villéger et al. 2008 <doi:10.1890/07-1206.1>). Provides efficient, modular, and parallel functions to compute functional diversity indices (Grenié & Gruson 2023 <doi:10.1111/ecog.06585>).
Last updated 4 months ago
biodiversitybiodiversity-indicatorsbiodiversity-informaticsfunctional-diversityfunctional-ecologyfunctional-traitfunctional-traitstraittrait-basedtraits
7.43 score 32 stars 37 scripts 419 downloadsfundiversity - Easy Computation of Functional Diversity Indices
Computes six functional diversity indices. These are namely, Functional Divergence (FDiv), Function Evenness (FEve), Functional Richness (FRic), Functional Richness intersections (FRic_intersect), Functional Dispersion (FDis), and Rao's entropy (Q) (reviewed in Villéger et al. 2008 <doi:10.1890/07-1206.1>). Provides efficient, modular, and parallel functions to compute functional diversity indices (Grenié & Gruson 2023 <doi:10.1111/ecog.06585>).
Last updated 4 months ago
biodiversitybiodiversity-indicatorsbiodiversity-informaticsfunctional-diversityfunctional-ecologyfunctional-traitfunctional-traitstraittrait-basedtraits
7.43 score 32 stars 37 scripts 419 downloadsecolottery - Coalescent-Based Simulation of Ecological Communities
Coalescent-Based Simulation of Ecological Communities as proposed by Munoz et al. (2018) <doi:10.1111/2041-210X.12918>. The package includes a tool for estimating parameters of community assembly by using Approximate Bayesian Computation.
Last updated 2 years ago
6.18 score 15 stars 1 packages 17 scripts 528 downloadsfunbiogeo - Functional Biogeography Analyses
Helps users with analyses in functional biogeogeography by loading and combining data, computing trait coverage, as well as computing functional diversity indices, drawing maps, correlating them with the environment, and upscaling assemblages.
Last updated 4 months ago
functional-biogeography
5.62 score 10 stars 8 scriptsrromeo - Access Publisher Copyright & Self-Archiving Policies via the 'SHERPA/RoMEO' API
Fetches information from the 'SHERPA/RoMEO' API <http://www.sherpa.ac.uk/romeo/apimanual.php> which indexes policies of journal regarding the archival of scientific manuscripts before and/or after peer-review as well as formatted manuscripts.
Last updated 2 years ago
api-clientsherpa-romeo
4.45 score 14 stars 6 scripts 21 downloadsrtaxref - An R client for TaxRef the French Taxonomical Database
Provides an R client to the TaxRef API <https://taxref.mnhn.fr/taxref-web/api/doc>, the French Taxonomical Reference Database which indexes names of species with unique identifiers as well as conservation statuses, biological interactions and taxonomic relationships.
Last updated 2 years ago
apiapi-clientapi-wrapperbiodiversitytaxonomy
3.30 score 4 stars 5 scriptsfdcoexist - Multi-Species Trait-Based Coexistence Model in Discrete time
A modified Beverton-Holt model used in the Denelle, Grenié et al. manuscript that expresses environmental filtering, limiting similarity and hierarchical competition explicitely in function of species traits. This package provides all the code necessary to rerun the analyses of the manuscript.
Last updated 2 years ago
2.70 score 1 scriptsfddimensionality - Test Effect of Traits of FD-Environment Relationship
Companion code for paper XXX <doi:xxx> on FD-Environment relationship, which tests to what extent we can expect FD-Environment trait relationship in function of number of traits included and type of environmental filtering.
Last updated 2 years ago
1.70 score