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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.10 by Ian D. Buller, 4 months ago


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