CoordinateCleaner : Standardized cleaning of occurrence records from biological collection databases

Zizka, Alexander; Silvestro, Daniele; Andermann, Tobias; Azevedo, Josué A. R.; Ritter, Camila Duarte; Edler, Daniel; Farooq, Harith; Herdean, Andrei; Ariza, María; Scharn, Ruud; Svantesson, Sten; Wengström, Niklas; Zizka, Vera; Antonelli, Alexandre

doi:10.1111/2041-210x.13152

articleMethods in Ecology and EvolutionJan 20, 2019HYBRID OA

CoordinateCleaner : Standardized cleaning of occurrence records from biological collection databases

AZAlexander Zizka DSDaniele Silvestro TATobias Andermann JAJosué A. R. Azevedo CDCamila Duarte Ritter

German Centre for Integrative Biodiversity Research · Göteborgs Stads · +7 more institutions

Indexed incrossrefdoaj

Abstract

Abstract Species occurrence records from online databases are an indispensable resource in ecological, biogeographical and palaeontological research. However, issues with data quality, especially incorrect geo‐referencing or dating, can diminish their usefulness. Manual cleaning is time‐consuming, error prone, difficult to reproduce and limited to known geographical areas and taxonomic groups, making it impractical for datasets with thousands or millions of records. Here, we present CoordinateCleaner , an r ‐package to scan datasets of species occurrence records for geo‐referencing and dating imprecisions and data entry errors in a standardized and reproducible way. CoordinateCleaner is tailored to problems…

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Topics & keywords

Topics

Keywords

Database
Biodiversity
Computer science
Geoinformatics
Geography
Data mining
Cartography
Ecology

UN Sustainable Development Goals

Life in Land

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