Methodological Notes
This page provides the methodological notes and citation guide shipped with the
package and copied by set_workspace(...) into
data_raw/methodological_notes/.
The methodological notes comprise the article and its appendices:
UNCASExt arXiv preprint: article providing the methodological basis for pyaesa.
Appendix B: functional units, allocation methods, prospective allocation, and uncertainty sources
Citation
Please cite these references when using pyaesa, as they constitute the methodological basis for pyaesa, including the allocation methods included in the package.
de Bantel, E. I., Pirson, T., Puig-Samper, G., Hartmann, J. M., Bol, D., Bouillass, G., Yannou, B., Jankovic, M., & Hauschild, M. Z. (2026). UNCASExt: A systematic computational framework for uncertainty propagation and scope consistency in absolute environmental sustainability assessments (AESA) [Preprint]. arXiv. https://arxiv.org/abs/2606.21465
Pirson, T., de Bantel, E. I., Puig-Samper, G., Hartmann, J. M., von der Assen, N., Owsianiak, M., Clavreul, J., Bouillass, G., Yannou, B., Jankovic, M., & Bol, D. (2026, May 17-21). PyUNCASE: Towards a Python package for systematically allocating carrying capacities under uncertainty in AESA [Conference abstract]. SETAC Europe 36th Annual Meeting, Maastricht, Netherlands. SETAC. https://setac.confex.com/setac/europe2026/meetingapp.cgi/Paper/32699
Additional Citations
For data source citations, see the recommended citation guide:
Functional Unit Guide
tutorials/study_objectives/1_functional_units_and_allocation_methods.md: short guide summarizing Appendix B regarding the selection of functional units and allocation methods in pyaesa.