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dynamicSDM  

Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dynamicSDM", "1.3.4")



Attach the package and use:
library("dynamicSDM")
Maintained by
Rachel Dobson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-17
Latest Update: 2024-06-28
Description:
A collection of novel tools for generating species distribution and abundance models (SDM) that are dynamic through both space and time. These highly flexible functions incorporate spatial and temporal aspects across key SDM stages; including when cleaning and filtering species occurrence data, generating pseudo-absence records, assessing and correcting sampling biases and autocorrelation, extracting explanatory variables and projecting distribution patterns. Throughout, functions utilise Google Earth Engine and Google Drive to minimise the computing power and storage demands associated with species distribution modelling at high spatio-temporal resolution.
How to cite:
Rachel Dobson (2023). dynamicSDM: Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution. R package version 1.3.4, https://cran.r-project.org/web/packages/dynamicSDM. Accessed 15 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 1.0 (2023-02-17 10:30), 1.1 (2023-02-27 14:22), 1.2 (2023-03-17 14:20), 1.3.1 (2023-06-11 21:30), 1.3.2 (2023-06-21 18:10), 1.3.3 (2023-10-18 08:20), 1.3 (2023-06-10 20:10)
Other packages that cited dynamicSDM R package
View dynamicSDM citation profile
Other R packages that dynamicSDM depends, imports, suggests or enhances
Complete documentation for dynamicSDM
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