basic_locality_clean: Locality Cleaning - Remove missing and improbable coordinates

Description

The basic_locality_clean() function cleans locality by removing missing or impossible coordinates and correcting precision. This function requires columns named 'latitude' and 'longitude'. These columns should be of type 'numeric'.

Usage

basic_locality_clean(
  df,
  latitude = "latitude",
  longitude = "longitude",
  remove.zero = TRUE,
  precision = TRUE,
  digits = 2,
  remove.skewed = TRUE,
  info.withheld = "informationWithheld"
)

Value

Return data frame with specimen removed that had missing or improper coordinate values.

Arguments

df: Data frame of occurrence records returned from gators_download().
latitude: Default = "latitude". The name of the latitude column in the data frame.
longitude: Default = "longitude". The name of the longitude column in the data frame.
remove.zero: Default = TRUE. Indicates that points at (0.00, 0.00) should be removed.
precision: Default = TRUE. Indicates that coordinates should be rounded to match the coordinate uncertainty.
digits: Default = 2. Indicates digits to round coordinates to when precision = TRUE.
remove.skewed: Default = TRUE. Utilizes the remove_skewed() function to remove skewed coordinate values.
info.withheld: Default = "informationWithheld". The name of the information withheld column in the data frame.

Details

This function requires no additional packages.

Examples

Run this code

cleaned_data <- basic_locality_clean(data)

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