occurrences_sdm: Occurrences Managing

In caretSDM: Build Species Distribution Modeling using 'caret'

Occurrences Managing

Description

This function creates and manage occurrences objects.

Usage

occurrences_sdm(x,
                independent_test = NULL,
                p = 0.1,
                crs = NULL,
                independent_test_crs = NULL,
                ...)

n_records(i)

species_names(i)

get_coords(i)

occurrences_as_df(i)

add_occurrences(oc1, oc2)

Arguments

x	A data.frame, tibble or sf with species records.
independent_test	Boolean. If independet_test is TRUE, a fraction of the data is kept for independent testing. Otherwise, the whole dataset x is used. It can also be a data.frame or a sf, with species records to be used as independent test. Structure and names should be identical to those in x.
p	Numeric. Fraction of data to be used as independent test. Standard is 0.1.
crs	Numeric. CRS of x.
independent_test_crs	Numeric. CRS of independent_test if it is a data.frame.
...	A vector with column names addressing the columns with species names, longitude and latitude, respectively, in x.
i	input_sdm or occurrences object.
oc1	A occurrences object to be summed with.
oc2	A occurrences object to be summed with.

Details

x must have three columns: species, decimalLongitude and decimalLatitude. When sf it is only necessary a species column. n_records return the number of presence records to each species. species_names return the species names. get_coords return a data.frame with coordinates of species records. add_occurrences return a occurrences. This function sums two occurrences objects. It can also sum a occurrences object with a data.frame object. occurrences_as_df returns a data.frame with species names and coordinates.

Value

A occurrences object.

Author(s)

Luíz Fernando Esser ([e-mail]) https://luizfesser.wordpress.com

See Also

input_sdm GBIF_data occ

Examples

# Create occurrences:
oc <- occurrences_sdm(occ, crs = 6933)

caretSDM documentation built on Aug. 29, 2025, 5:17 p.m.