outliers: Visual detection of outliers.
In red: IUCN Redlisting Tools
outliers R Documentation
Visual detection of outliers.
Description
Draws plots of sites in geographical (longlat) and environmental (2-axis PCA) space.
Usage
outliers(longlat, layers)
Arguments
longlat
Matrix of longitude and latitude or eastness and northness (two columns in this order) of species occurrence records.
layers
Raster* object as defined by package raster. It can be any set of environmental layers thought to allow the identification of environmental outliers.
Details
Erroneous data sources or errors in transcriptions may introduce outliers that can be easily detected by looking at simple graphs of geographical or environmental space.
Value
A data.frame with coordinate values and distance to centroid in pca is returned. Two plots are drawn for visual inspection. The environmental plot includes row numbers for easy identification of possible outliers.
Examples
records = red.examples("red.records")
layers = red.examples("red.layers")
outliers(records, layers[[1:3]])
red documentation built on Sept. 9, 2023, 1:07 a.m.
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.
| outliers | R Documentation |
Visual detection of outliers.
Description
Draws plots of sites in geographical (longlat) and environmental (2-axis PCA) space.
Usage
outliers(longlat, layers)
Arguments
longlat |
Matrix of longitude and latitude or eastness and northness (two columns in this order) of species occurrence records. |
layers |
Raster* object as defined by package raster. It can be any set of environmental layers thought to allow the identification of environmental outliers. |
Details
Erroneous data sources or errors in transcriptions may introduce outliers that can be easily detected by looking at simple graphs of geographical or environmental space.
Value
A data.frame with coordinate values and distance to centroid in pca is returned. Two plots are drawn for visual inspection. The environmental plot includes row numbers for easy identification of possible outliers.
Examples
records = red.examples("red.records")
layers = red.examples("red.layers")
outliers(records, layers[[1:3]])
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.