CRAN/E | dynamicSDM

dynamicSDM

Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution

Installation

About

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.

Citation dynamicSDM citation info
github.com/r-a-dobson/dynamicSDM
Bug report File report

Key Metrics

Version 1.3.3
R ≥ 3.5.0
Published 2023-10-18 162 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks dynamicSDM results

Downloads

Yesterday 7 0%
Last 7 days 59 -19%
Last 30 days 276 -9%
Last 90 days 1.062 +17%
Last 365 days 3.836 +684%

Maintainer

Maintainer

Rachel Dobson

eerdo@leeds.ac.uk

Authors

Rachel Dobson

aut / cre / ctb

Andy J. Challinor

aut / ctb

Robert A. Cheke

aut / ctb

Stewart Jennings

aut / ctb

Stephen G. Willis

aut / ctb

Martin Dallimer

aut / ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

dynamicSDM: Response variable data
dynamicSDM: Explanatory variable data
dynamicSDM: Model fitting and autocorrelation
dynamicSDM: Dynamic distribution projections

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

dynamicSDM archive

Depends

R ≥ 3.5.0

Imports

dplyr
googledrive
lubridate
magrittr
reticulate
rgee
stats
terra
tidyr
grDevices
graphics
methods
utils
sf
readr

Suggests

ape
CoordinateCleaner
covr
gargle
gbm
ggplot2
knitr
magick
matrixStats
rmarkdown
spThin
stars
testthat ≥3.0.0
viridis