Occurrence cubes: a new paradigm for aggregating species occurrence data

Abstract

In this paper we describe a method of aggregating species occurrence data into what we coined "occurrence cubes". The aggregated data can be perceived as a cube with three dimensionstaxonomic, temporal and geographic -and takes into account the spatial uncertainty of each occurrence. The aggregation level of each of the three dimensions can be adapted to the scope. Built on Open Science principles, the method is easily automated and reproducible, and can be used for species trend indicators, maps and distribution models. We are using the method to aggregate species occurrence data for Europe per taxon, year and 1km 2 European reference grid, to feed indicators and risk mapping/modelling for the Tracking Invasive Alien Species (TrIAS) project. eventDate ( http://rs.tdwg.org/dwc/terms/eventDate ), defined as the "date-time or interval during which an Event occurred". Occurrences are generally easy to aggregate as temporal uncertainty is typically considerably lower than the aggregation span used in the vast majority of the applications, typically year.

“Lianification” or liana invasion? Commentary on Perring et al. (2020)

“…reference grid cells via a randomized point on circle method for creating occurrence cubes accounting for spatial uncertainty on coordinates (Oldoni et al 2020).…”