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) . Details about kernel density estimation can be found in J. F. Bithell (1990) . More information about relative risk functions using kernel density estimation can be found in J. F. Bithell (1991) .


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install.packages("envi")

0.1.8 by Ian D. Buller, a month ago


https://github.com/Waller-SUSAN/envi


Report a bug at https://github.com/Waller-SUSAN/envi/issues


Browse source code at https://github.com/cran/envi


Authors: Ian D. Buller [aut, cre, cph] , Lance A. Waller [ctb, ths] , Emory University [cph]


Documentation:   PDF Manual  


Apache License (>= 2.0) license


Imports concaveman, cvAUC, doFuture, doRNG, fields, foreach, future, graphics, grDevices, iterators, maptools, pls, raster, rgeos, ROCR, sp, sparr, stats

Depends on spatstat.geom, spatstat.core, spatstat.linnet, spatstat

Suggests R.rsp, spatstat.data, spelling, testthat


See at CRAN