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divraster  

Diversity Metrics Calculations for Rasterized Data
View on CRAN: Click here


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]
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. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0.2 (2023-06-27 19:30), 1.0.3 (2023-08-21 21:00)
Other packages that cited divraster R package
View divraster citation profile
Other R packages that divraster depends, imports, suggests or enhances
Complete documentation for divraster
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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