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: 0.1.6
Depends: R (≥ 3.5.0)
Imports: concaveman, cvAUC, doParallel, fields, foreach, graphics, grDevices, maptools, parallel, pls, raster, rgeos, ROCR, sp, sparr, spatstat, stats, utils
Suggests: R.rsp, spatstat.data, spelling, testthat
Published: 2021-01-07
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/Waller-SUSAN/envi/issues
License: Apache License (≥ 2.0)
URL: https://github.com/Waller-SUSAN/envi
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: envi results

Downloads:

Reference manual: envi.pdf
Vignettes: envi: Environmental Interpolation using Spatial Kernel Density Estimation
Package source: envi_0.1.6.tar.gz
Windows binaries: r-devel: envi_0.1.6.zip, r-release: envi_0.1.6.zip, r-oldrel: envi_0.1.6.zip
macOS binaries: r-release: envi_0.1.6.tgz, r-oldrel: envi_0.1.6.tgz
Old sources: envi archive

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