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divraster
View on CRAN: Click
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Download and install divraster package within the R console
Install from CRAN:
install.packages("divraster")
Install from Github:
library("remotes")
install_github("cran/divraster")
Install by package version:
library("remotes")
install_version("divraster", "1.0.4")
Attach the package and use:
library("divraster")
Maintained by
Flávio M. M. Mota
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-27
Latest Update: 2023-10-10
Description:
Alpha and beta diversity for taxonomic (TD), functional (FD), and phylogenetic (PD) dimensions based on rasters. Spatial and temporal beta diversity can be partitioned into replacement and richness difference components. It also calculates standardized effect size for FD and PD alpha diversity and the average individual traits across multilayer rasters. The layers of the raster represent species, while the cells represent communities. Methods details can be found at Cardoso et al. 2022 and Heming et al. 2023 .
How to cite:
Flávio M. M. Mota (2023). divraster: Diversity Metrics Calculations for Rasterized Data. R package version 1.0.4, https://cran.r-project.org/web/packages/divraster
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Other R packages that divraster depends,
imports, suggests or enhances
Functions, R codes and Examples using
the divraster R package
Some associated functions: inputs_chk . load.data . spat.alpha . spat.alpha.vec . spat.beta . spat.beta.vec . spat.rand . spat.trait . spat.trait.vec . temp.beta . temp.beta.vec .
Some associated R codes: alpha.R . beta_spatial.R . beta_temporal.R . data.R . inputs_chk.R . rand.R . traits.R . Full divraster package functions and examples
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