Monte Carlo methods are a common approach to quantifying uncertainty propagation. We used Monte Carlo simulation to quantify the effects of positional and thematic uncertainties in a set of landscape maps on model averaged regression coefficients that were based on metrics derived from these maps. Results indicate that the uncertainty estimates from model averaging outweigh the effects of positional and thematic uncertainties in the landscape maps. Shifts between reference and simulated coefficients indicate a need for further research into simulation approaches that account for spatial autocorrelation.

Additional Metadata
Keywords Biodiversity, Monte Carlo, Positional uncertainty, Thematic uncertainty
Persistent URL dx.doi.org/10.1007/978-3-319-19950-4_18
Conference 16th International Symposium on Spatial Data Handling, SDH 2014
Citation
Kirby, P.J. (Patrick J.), & Mitchell, S. (2015). Monte Carlo-based analysis of the effect of positional and thematic uncertainties on biodiversity models. Presented at the 16th International Symposium on Spatial Data Handling, SDH 2014. doi:10.1007/978-3-319-19950-4_18