Table 1 Occurrence categories identified by our data cleaning workflow. A list of potential actions (non-comprehensive) are outlined to emphasize the potential of the workflow to improve current datasets
From: Big data of tree species distributions: how big and how good?
Label | Label name | Label information (I) and potential actions to be developed (A) |
|---|---|---|
H | Missing coordinates | (I) No detected coordinates. |
(A) Trace back record and assign coordinates. | ||
G | Duplicated records | (I) If record is duplicated within the environmental grid cell, it may give information of sampling effort. |
F | Unknown range | (I) Not known range. |
(A) Double check country-level databases and invasive registries of countries where the record occurs. If present, update database. | ||
(A) Re-check common coordinate errors (Yesson et al. 2007). | ||
E | Missing environmental information or unlikely environment (botanic garden) | (A) Check suitability of spatial layers. |
(A) Confirm botanic garden location. | ||
(A) Re-check common coordinate errors (Yesson et al. 2007). | ||
D | Geographic coordinate issues and environment issues | (A) Re-check common coordinate errors (Yesson et al. 2007). |
(A) Check values in environmental layers. | ||
C | Geographic coordinate issues | (A) Re-check common coordinate errors. |
B | Environmental space issues | (A) Check values in environmental layers. |
A | No issues detected | (A) Send a ‘thank you’ email to the database custodian. |
AA | High precision | (A) Send a ‘thank you’ email to the database custodian. |
AAA | High precision and low environment uncertainty | (A) Send a ‘thank you’ email to the database custodian. |