acacia_pinus: Data for Acacia and Pinus tree distributions
In hypervolume: High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls
acacia_pinus R Documentation
Data for Acacia and Pinus tree distributions
Description
Data for occurrences of Acacia and Pinus species based on geographic observations.
Usage
data(acacia_pinus)
Format
A data.frame with 37845 observations on the following 3 variables.
Speciesa character containing 139 unique values
Latitudea numeric vector
Longitudea numeric vector
Source
Occurrence data come from the BIEN database (https://biendata.org/).
References
Blonder, B., Lamanna, C., Violle, C., Enquist, B. The n-dimensional hypervolume. Global Ecology and Biogeography (2014).
hypervolume documentation built on Sept. 14, 2023, 5:08 p.m.
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| acacia_pinus | R Documentation |
Data for Acacia and Pinus tree distributions
Description
Data for occurrences of Acacia and Pinus species based on geographic observations.
Usage
data(acacia_pinus)Format
A data.frame with 37845 observations on the following 3 variables.
Speciesa
charactercontaining 139 unique valuesLatitudea numeric vector
Longitudea numeric vector
Source
Occurrence data come from the BIEN database (https://biendata.org/).
References
Blonder, B., Lamanna, C., Violle, C., Enquist, B. The n-dimensional hypervolume. Global Ecology and Biogeography (2014).
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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