use case: data cleaning paper using GBIF data

[sckott]

found via http://www.gbif.org/newsroom/uses/2016-gueta-et-al

https://www.researchgate.net/profile/Yohay_Carmel/publication/303833067_Quantifying_the_value_of_user-level_data_cleaning_for_big_data_A_case_study_using_mammal_distribution_models/links/57bf37ea08aeb95224d1039d.pdf

Some cleaning tasks done (Table 1)

repair these points

• Wrong coordinate systems - i assume means UTM vs. dec deg
• coordinates as string - don't know what this means
• Switched Longitude & Latitude
• Numerical sign confusion

remove these points

• Records with missing or non-Australian coordinate -
• Coordinates exactly in center of Australia -
• Longitude & Latitude precision less than 3 digits -
• Records collected before the year 1990 -
• Records with unknown year -
• Species name was not recognized by ALA -
• Insufficient taxon rank identification -
• Domesticated species
• Extinct species