%0 Journal Article %A Rocchini, Duccio %A Garzon-Lopez, Carol X %T Cartograms tool to represent spatial uncertainty in species distribution %D 2017 %R 10.3897/rio.3.e12029 %J Research Ideas and Outcomes %V 3 %X Species distribution models have become an important tool for biodiversity monitoring. Like all statistical modelling techniques developed based on field data, they are prone to uncertainty due to bias in the sampling (e.g. identification, effort, detectability). In this study, we explicitly quantify and map the uncertainty derived from sampling effort bias. With that aim, we extracted data from the widely used GBIF dataset to map this semantic bias using cartograms. %U https://doi.org/10.3897/rio.3.e12029 %N