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Explore the impact of linking systems on improving data quality using 210M occurrence points, country boundaries, and IUCN range maps. Uncover spatial and spatio-taxonomic issues affecting terrestrial vertebrate records. Discover causes, trends over time, and key data insights to enhance data accuracy and completeness.
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Linking systems to improve data quality Javier Otegui and Rob Guralnick
>210M occurrence points + All country boundaries + All IUCN range maps ---------------------------------- 9 different spatial and spatio-taxonomic issues Causes??
Time Source Some values Proportion of terrestrial vertebrate records with any issue: Amphibia 12% Aves 14% Mammalia 17% Reptilia 14% Proportion of terrestrial vertebrate records inside range maps: Amphibia 30% Aves 69% Mammalia 37% Reptilia 7% Proportion of terrestrial vertebrate records without range maps: Amphibia 50% Aves 7% Mammalia 38% Reptilia 76% Less records without coordinates Most populated: IPT More records inside range map Less issues in data: IPT