Package: downscale 5.0.0

downscale: Downscaling Species Occupancy

Uses species occupancy at coarse grain sizes to predict species occupancy at fine grain sizes. Ten models are provided to fit and extrapolate the occupancy-area relationship, as well as methods for preparing atlas data for modelling. See Marsh et. al. (2018) <doi:10.18637/jss.v086.c03>.

Authors:Charles Marsh [aut, cre, cph]

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NEWS

# Install 'downscale' in R:
install.packages('downscale', repos = c('https://charliem2003.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/charliem2003/downscale/issues

On CRAN:

4.11 score 1 stars 13 scripts 313 downloads 7 exports 18 dependencies

Last updated 1 years agofrom:6faeace22e. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winNOTEOct 31 2024
R-4.5-linuxNOTEOct 31 2024
R-4.4-winNOTEOct 31 2024
R-4.4-macNOTEOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:downscaleensemble.downscalehui.downscaleplot.predict.downscalepredict.downscaleupgrainupgrain.threshold

Dependencies:classclassIntcubatureDBIe1071gmpKernSmoothmagrittrMASSminpack.lmproxyRcppRmpfrs2sfterraunitswk

Downscaling species occupancy

Charles J. Marsh

Rendered fromDownscaling.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2023-05-24
Started: 2021-11-23

Upgraining atlas data for downscaling

Charles J. Marsh

Rendered fromUpgraining.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2023-05-22
Started: 2021-11-23