| Abstrakt: |
Abstract: Open access data has made it easy to model the suitability of habitats and potential distributions of different species of plants and animals. However, such data need to be handled with care as it can include erroneous records (e.g. bad georeferencing, misidentification) and a considerable spatial bias. Building a model with open access data thus requires extensive data cleaning. Here, we present a modelling approach for open access data and provide an example of a habitat suitability model for a widespread European centipede, Lithobius erythrocephalus Koch, 1847, based exclusively on open access data. |
