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 [aut, cre, cph], Lance A. Waller [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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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