remove_duplicate_points

This function removes duplicated points from a dataframe based on specified coordinate columns.

A user-friendly 'shiny' application for Bayesian machine
learning analysis of marine species distributions. GLOSSA (Global
Species Spatiotemporal Analysis) uses Bayesian Additive Regression
Trees (BART; Chipman, George, and McCulloch (2010)
<doi:10.1214/09-AOAS285>) to model species distributions with
intuitive workflows for data upload, processing, model fitting, and
result visualization. It supports presence-absence and presence-only
data (with pseudo-absence generation), spatial thinning,
cross-validation, and scenario-based projections. GLOSSA is designed
to facilitate ecological research by providing easy-to-use tools for
analyzing and visualizing marine species distributions across
different spatial and temporal scales.

Jorge Mestre-Tomás

glossa

User-Friendly 'shiny' App for Bayesian Species Distribution
Models

Alba Fuster-Alonso

remove_duplicate_points function

<dl><dt>df</dt>
<dd>A dataframe object with each row representing one point.</dd>
<dt>coords</dt>
<dd>A character vector specifying the names of the coordinate columns used for identifying duplicate points. Default is c("decimalLongitude", "decimalLatitude").</dd></dl>

Arguments

Remove Duplicated Points from a Dataframe — remove_duplicate_points

<dl>

<dt>df</dt>
<dd>A dataframe object with each row representing one point.</dd>


<dt>coords</dt>
<dd>A character vector specifying the names of the coordinate columns used for identifying duplicate points. Default is c("decimalLongitude", "decimalLatitude").</dd>

</dl>

remove_duplicate_points: Remove Duplicated Points from a Dataframe

Description

Usage

Value

Arguments