Occurrence cubes: a new paradigm for aggregating species occurrence data

Bibtex

@misc{f1ce892b-8d6b-410c-80c3-078c9fce3dc8,
title = "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 textquotedblleftoccurrence cubestextquotedblright. The aggregated data can be perceived as a cube with three dimensions - taxonomic, 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 1km2 European reference grid, to feed indicators and risk mapping/modelling for the Tracking Invasive Alien Species (TrIAS) project.",
author = "Damiano Oldoni and Quentin Groom and Tim Adriaens and Amy J. S. Davis and Lien Reyserhove and Diederik Strubbe and Sonia Vanderhoeven and Peter Desmet",
year = "2020",
month = mar,
day = "25",
doi = "https://doi.org/10.1101/2020.03.23.983601",
language = "English",
publisher = "Cold Spring Harbor Laboratory",
address = "Belgium,
type = "Other"
}

Authors