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>.

Package details

AuthorIan D. Buller [aut, cre, cph] (<https://orcid.org/0000-0001-9477-8582>), Lance A. Waller [ctb, ths] (<https://orcid.org/0000-0001-5002-8886>), Emory University [cph]
MaintainerIan D. Buller <ian.buller@alumni.emory.edu>
LicenseApache License (>= 2.0)
Version0.1.8
URL https://github.com/Waller-SUSAN/envi
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("envi")

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envi documentation built on March 15, 2021, 5:09 p.m.