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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>.
Getting started
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Package details |
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| Author | Ian 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] |
| Maintainer | Ian D. Buller <ian.buller@alumni.emory.edu> |
| License | Apache License (>= 2.0) |
| Version | 0.1.17 |
| URL | https://github.com/lance-waller-lab/envi |
| Package repository | View on CRAN |
| Installation |
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