geographic_filter: Filter points based on distance to other points

In samuelbosch/marinespeed: Benchmark Data Sets and Functions for Marine Species Distribution Modelling

Description

geographic_filter returns the indexes of all points in data that are not within bufferdistance of the filter_data.

Usage

geographic_filter(data, filter_data, buffer_distance = 200*1000,
  lonlat = TRUE)

Arguments

data	Matrix or dataframe. The first two columns should represent the longitude and latitude (or x,y coordinates if lonlat = FALSE).
filter_data	Matrix or dataframe. The first two columns should represent the longitude and latitude (or x,y coordinates if lonlat = FALSE).
buffer_distance	Positive numeric. The minimal distance a point in data should be from a point in filter_data.
lonlat	Logical. If TRUE (default) then Great Circle distances are calculated else Euclidean (planar) distances are calculated.

Value

Vector of integer with the indexes of the rows in data that are not within bufferdistance of the filter_data.

See Also

kfold_occurrence_background

Examples

set.seed(42)
data <- cbind(runif(10, -180, 180), runif(10, -90, 90))
filter_data <- cbind(runif(10, -180, 180), runif(10, -90, 90))
# remove points from data data are within a 1000km buffer around
# the points in filter_data
filtered <- geographic_filter(data, filter_data, buffer_distance = 1000*1000,
                              lonlat = TRUE)

data_filtered <- data[filtered,]
data_removed <- data[-filtered,]

samuelbosch/marinespeed documentation built on Dec. 17, 2019, 11:47 p.m.