poccs

In wallace: A Modular Platform for Reproducible Modeling of Species Niches and Distributions

Component: Process Occurrence Data

ORIENTATION

Biodiversity data (especially from aggregated online databases) typically suffer from errors and sampling biases, calling for better data quality and checking protocols (Costello et al. 2013). Component: Process Occurrence Data provides some simple ways for users to clean and process such datasets in order to reduce the effects of data characteristics that may be detrimental to results. Wallace currently allows users either to: 1) remove records by ID (Module: Remove Occurrences By ID), 2) spatial selection (Module: Select Occurrences On Map), or 3) thin records within a user-specified distance (Module: Spatial Thin). The first module addresses user-detected data errors, such as in georeferencing or identification (and also allows users to select occurrences from a subset of a species' range for analysis), whereas the second aims to reduce the effects of spatial sampling biases. These modules can be run in sequence (e.g. select points on the map, and then spatially thin).

REFERENCES

Costello, M. J., Michener, W. K., Gahegan, M., Zhang, Z. Q., & Bourne, P. E. (2013). Biodiversity data should be published, cited, and peer reviewed. Trends in Ecology & Evolution, 28(8), 454-461. DOI: 10.1016/j.tree.2013.05.002

wallace documentation built on Sept. 11, 2024, 9:16 p.m.