The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

envi: Environmental Interpolation using Spatial Kernel Density Estimation

Estimates an ecological niche using occurrence data, covariates, and kernel density-based estimation methods. For a single species with presence and absence data, the 'envi' package uses the spatial relative risk function that is estimated using the 'sparr' package. Details about the 'sparr' package methods can be found in the tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>. Details about kernel density estimation can be found in J. F. Bithell (1990) <doi:10.1002/sim.4780090616>. More information about relative risk functions using kernel density estimation can be found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: concaveman, cvAUC, doFuture, doRNG, fields, foreach, future, graphics, grDevices, iterators, pls, ROCR, sf, sparr, spatstat.geom, stats, terra
Suggests: R.rsp, RStoolbox, spatstat.data, spatstat.random, spelling, testthat, utils
Published: 2024-11-06
DOI: 10.32614/CRAN.package.envi
Author: Ian D. Buller ORCID iD [aut, cre, cph], Lance A. Waller ORCID iD [ctb, ths], Emory University [cph]
Maintainer: Ian D. Buller <ian.buller at alumni.emory.edu>
BugReports: https://github.com/lance-waller-lab/envi/issues
License: Apache License (≥ 2.0)
URL: https://github.com/lance-waller-lab/envi
NeedsCompilation: no
Language: en-US
Citation: envi citation info
Materials: README NEWS
CRAN checks: envi results

Documentation:

Reference manual: envi.pdf
Vignettes: envi: Environmental Interpolation using Spatial Kernel Density Estimation (source)

Downloads:

Package source: envi_1.0.0.tar.gz
Windows binaries: r-devel: envi_1.0.0.zip, r-release: envi_1.0.0.zip, r-oldrel: envi_1.0.0.zip
macOS binaries: r-release (arm64): envi_1.0.0.tgz, r-oldrel (arm64): envi_1.0.0.tgz, r-release (x86_64): envi_1.0.0.tgz, r-oldrel (x86_64): envi_1.0.0.tgz
Old sources: envi archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=envi to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.