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disdat  

Data for Comparing Species Distribution Modeling Methods
View on CRAN: Click here


Download and install disdat package within the R console
Install from CRAN:
install.packages("disdat")

Install from Github:
library("remotes")
install_github("cran/disdat")

Install by package version:
library("remotes")
install_version("disdat", "1.0-1")



Attach the package and use:
library("disdat")
Maintained by
Roozbeh Valavi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-17
Latest Update: 2023-02-07
Description:
Easy access to species distribution data for 6 regions in the world, for a total of 226 anonymised species. These data are described and made available by Elith et al (2020) to compare species distribution modelling methods.
How to cite:
Roozbeh Valavi (2020). disdat: Data for Comparing Species Distribution Modeling Methods. R package version 1.0-1, https://cran.r-project.org/web/packages/disdat. Accessed 23 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:32), 1.0-0 (2020-09-17 10:40), 1.0-1 (2023-02-07 23:22)
Other packages that cited disdat R package
View disdat citation profile
Other R packages that disdat depends, imports, suggests or enhances
Complete documentation for disdat
Functions, R codes and Examples using the disdat R package
Some associated functions: AWT . CAN . NSW . NZ . SA . SWI . disCRS . disData . disMapBook . disPredictors . disdat-package . 
Some associated R codes: disMapbook.R . disOther.R . disdata.R .  Full disdat package functions and examples
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