Package: maskRangeR 1.1

maskRangeR: Mask Species Geographic Ranges

Mask ranges based on expert knowledge or remote sensing layers. These tools can be combined to quantitatively and reproducibly generate a new map or to update an existing map. Methods include expert opinion and data-driven tools to generate thresholds for binary masks.

Authors:Cory Merow [aut, cre], Peter J. Galante [aut], Jamie M. Kass [aut], Cecina Babich Morrow [aut], Valentina Grisales Betancur [aut]

maskRangeR_1.1.tar.gz
maskRangeR_1.1.zip(r-4.7-any)maskRangeR_1.1.zip(r-4.6-any)maskRangeR_1.1.zip(r-4.5-any)
maskRangeR_1.1.tgz(r-4.6-any)maskRangeR_1.1.tgz(r-4.5-any)
maskRangeR_1.1.tar.gz(r-4.7-any)maskRangeR_1.1.tar.gz(r-4.6-any)
maskRangeR_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
maskRangeR/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 10 scripts 294 downloads 10 exports 26 dependencies

Last updated from:683540dcdb. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE205
source / vignettesOK226
linux-releaseNOTE212
macos-releaseNOTE247
macos-oldrelNOTE178
windows-develNOTE125
windows-releaseNOTE113
windows-oldrelNOTE129
wasm-releaseOK181

Exports:annotatecontinuousMaskcropResampleTrimfocalComparelotsOfMasksmanyMaskSensitivitymaskRangerrangeSVMrangeSVM_predictthresholdSensitivity

Dependencies:classclicpp11dplyre1071genericsgluelatticelifecyclelubridatemagrittrpillarpkgconfigproxyR6rasterRcpprlangspterratibbletidyselecttimechangeutf8vctrswithr

Function Directory

Last update: 2021-11-10
Started: 2021-11-10

maskRangeR: Improving spatial and temporal accuracy of species distribution models

Last update: 2021-11-10
Started: 2021-11-10

Version Updates
Current version 0.1.0

Last update: 2021-11-10
Started: 2021-11-10