EcoCleanR1.0.1 package

Automated and Controlled Extraction, Cleaning, and Processing of Occurrence Data for Generating Biogeographic Ranges of Marine Organisms

decimal_places

Get Decimal Places of Coordinate Values

ec_rm_duplicate

Remove Duplicate Records from the Merged Data

ec_trail_zero

Trail Zeros from the Coordinate Values

ec_var_summary

A Summary Table of Final Cleaned Spatial and Environmental Variables

ec_worms_synonym

Check Accepted Synonyms from WoRMs Taxonomy

haversine_kmeans

Calculate Harversine distance

ec_flag_precision

Flag occurrences those has bad precision

distance_calc

Calculate geographic distance and mahalanobis distance to estimate out...

ec_db_merge

Merge the Data sets Extracted from Various datasources.

ec_extract_env_layers

Extract the Environmental data

ec_filter_by_uncertainty

Flag the Occurrences those has Extreme Uncertainty Error Radius

ec_flag_non_east_atlantic

Flag the occurrences those are not in east Atlantic and are inland

ec_plot_var_range

Plot cleaned data overlay overall occurrence data to demonstrate accep...

ec_flag_non_east_pacific

Flag occurrences those are not in east Pacific and are inland

ec_flag_non_region

Flag Occurrences those are in wrong ocean basins and are inland

ec_flag_non_west_atlantic

Flag Occurrences those are not in west Atlantic and are inland

ec_flag_non_west_pacific

Flag occurrences those are not in east Pacific and are inland

ec_flag_outlier

Flag Outlier Occurrences - using Spatial and Non-spatial Attributes

ec_flag_with_locality

Filter records to georeference using GEOLocate

ec_geographic_map_w_flag

Map view to visualize data points with outlier probability 0 to 1 on a...

ec_geographic_map

Map view of occurrence data points

ec_impute_env_values

Impute Environmental Variables using Mean Values of occurrences within...

ec_merge_corrected_coordinates

Merge the Update Georeferenced Occurrence Points back to the Main Data...

ec_plot_distance

Scatter Plot between geo_distance vs maha_distance with geo- and maha-...

Provides step-by-step automation for integrating biodiversity data from multiple online aggregators, merging and cleaning datasets while addressing challenges such as taxonomic inconsistencies, georeferencing issues, and spatial or environmental outliers. Includes functions to extract environmental data and to define the biogeographic ranges in which species are most likely to occur.

  • Maintainer: Priyanka Soni
  • License: MIT + file LICENSE
  • Last published: 2025-11-19