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envi  

Environmental Interpolation using Spatial Kernel Density Estimation
View on CRAN: Click here


Download and install envi package within the R console
Install from CRAN:
install.packages("envi")

Install from Github:
library("remotes")
install_github("cran/envi")

Install by package version:
library("remotes")
install_version("envi", "1.0.0")



Attach the package and use:
library("envi")
Maintained by
Ian D. Buller
[Scholar Profile | Author Map]
First Published: 2020-12-22
Latest Update: 2023-02-02
Description:
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) .
How to cite:
Ian D. Buller (2020). envi: Environmental Interpolation using Spatial Kernel Density Estimation. R package version 1.0.0, https://cran.r-project.org/web/packages/envi. Accessed 27 Feb. 2025.
Previous versions and publish date:
0.1.3 (2020-12-22 01:10), 0.1.6 (2021-01-07 19:20), 0.1.7 (2021-02-02 11:40), 0.1.8 (2021-03-15 12:30), 0.1.9 (2021-07-16 09:30), 0.1.10 (2021-08-02 22:10), 0.1.11 (2022-02-05 01:30), 0.1.13 (2022-03-24 09:40), 0.1.15 (2022-08-30 09:00), 0.1.17 (2023-02-02 01:40), 0.1.19 (2024-01-23 15:40)
Other packages that cited envi R package
View envi citation profile
Other R packages that envi depends, imports, suggests or enhances
Complete documentation for envi
Functions, R codes and Examples using the envi R package
Some associated functions: div_plot . envi-package . lrren . perlrren . plot_cv . plot_obs . plot_perturb . plot_predict . pval_correct . seq_plot . 
Some associated R codes: div_plot.R . globals.R . lrren.R . package.R . perlrren.R . plot_cv.R . plot_obs.R . plot_perturb.R . plot_predict.R . pval_correct.R . seq_plot.R . utils.R . zzz.R .  Full envi package functions and examples
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