point_thinning: Helps in thinning points either in geographic or...
In biosurvey: Tools for Biological Survey Planning

Description Usage Arguments Value Examples

Point thinning based on user-defined distances in geographic or environmental space.

1 2	point_thinning(data, x_column, y_column, thinning_distance, space, max_n_samples = 1, replicates = 10, set_seed = 1)

`data`	matrix or data.frame that contains at least two columns.
`x_column`	(character) the name of the x-axis.
`y_column`	(character) the name of the y-axis.
`thinning_distance`	(numeric) distance for thinning. Units must be selected according to the space, kilometers (km) for geographic and Euclidean distances for environmental space.
`space`	(character) space in which the thinning will be performed. There are two options available: "G", if it will be in geographic space, and "E", if it will be in environmental space.
`max_n_samples`	(numeric) maximum number of samples to chose with most points included. Default = 1.
`replicates`	(numeric) number of thinning replicates. Default = 10.
`set_seed`	(numeric) integer value to specify a initial seed. Default = 1.

A list with one or more elements, depending on max_n_samples. Each element is a data.frame containing points retained after thinning. All elements are different in at least one of the selected points.

# Data
data("m_matrix", package = "biosurvey")
data1 <- m_matrix$data_matrix

# Thinning the points
thin <- point_thinning(data1, x_column = "Longitude", y_column = "Latitude",
                       thinning_distance = 200, space = "G",
                       max_n_samples = 1, replicates = 5, set_seed = 1)