Prioritizing conservation efforts has become one of the most crucial steps in preserving biodiversity (Hoffmann et al. 2010; Keith et al. 2004; Mace et al. 2008; Miller et al. 2007).
Here is tested a method to rapidly assess extinction risk for any specie(rapid assessment), following a simplified geospatial criteria of the IUCN methodology, exposing the used data and calculations, and assumed quality, so it can be reviewed and reapplied by specialists if given better resources.
Rapid automated risk assessment must take in account the bad quality of data in biodiversity datasets, but this quality can be measured and therefore will be displayed along with the risk assessment. This measure is important to avid the kind of decision that could be wrongly taken, as exposed by [Chapman, 2005].
There are too many metrics that one could apply, but I focused on the ones that seen more relevant to the geographic distribution of occurrences and could be fully automated.