e_thin_algorithm: Thinning of occurrence records using environmental...
In HemingNM/ENMwizard: Advanced Techniques for Ecological Niche Modeling Made Easy
View source: R/1.1b.f.occ.thin.R
e_thin_algorithm R Documentation
Thinning of occurrence records using environmental information
Description
The function thins spatial points to minimize biases in the environmental space.
It divides de range of variables into a desired number of @param bins and selects points
closer to the bin center.
Usage
e_thin_algorithm(data, bins = 20)
Arguments
data
A matrix or data.frame of environmental data at occurrence records.
bins
Number of bins to divide the environmental range of
each variable.
Value
A vector containing the index (row numbers) of selected records.
HemingNM/ENMwizard documentation built on Jan. 4, 2024, 3:24 p.m.
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View source: R/1.1b.f.occ.thin.R
| e_thin_algorithm | R Documentation |
Thinning of occurrence records using environmental information
Description
The function thins spatial points to minimize biases in the environmental space. It divides de range of variables into a desired number of @param bins and selects points closer to the bin center.
Usage
e_thin_algorithm(data, bins = 20)
Arguments
data |
A matrix or data.frame of environmental data at occurrence records. |
bins |
Number of bins to divide the environmental range of each variable. |
Value
A vector containing the index (row numbers) of selected records.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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