References
Bond, C. E. (2015). Uncertainty in structural interpretation: Lessons to be learnt. Journal of Structural Geology, 74, 185–200. https://doi.org/10.1016/j.jsg.2015.03.003 Calcagno, P., Chilès, J. P., Courrioux, G., & Guillen, A. (2008). Geological modelling from field data and geological knowledge: Part I. Modelling method coupling 3D potential-field interpolation and geological rules. Physics of the Earth and Planetary Interiors, 171(1–4), 147–157. https://doi.org/10.1016/j.pepi.2008.06.013 Caumon, G., Collon-Drouaillet, P., de Veslud, C., Viseur, S., & Sausse, J. (2009). Surface-based 3D modelling of geological structures. Mathematical Geosciences, 41(8), 927–945. https://doi.org/10.1007/s11004-009-9244-2 Caumon, G. (2018). Geological objects and physical parameter fields in the subsurface: A review. In B. S. Daya Sagar, Q. Cheng, & F. P. Agterberg (Eds.), Handbook of Mathematical Geosciences (pp. 567–588). Springer. de la Varga, M., Schaaf, A., & Wellmann, F. (2019). GemPy 1.0: Open-source stochastic geological modeling and inversion. Geoscientific Model Development, 12, 1–32. https://doi.org/10.5194/gmd-12-1-2019 Frank, T., Tertois, A. L., & Mallet, J. L. (2007). 3D reconstruction of complex geological interfaces from irregularly distributed and noisy point data. Computers & Geosciences, 33(7), 932– 943. https://doi.org/10.1016/j.cageo.2006.11.014 Grose, L., Aillères, L., Laurent, G., Caumon, G., Jessell, M., & Armit, R. (2017). Structural data constraints for implicit modelling of folds. Journal of Structural Geology, 104, 80–92. https://doi.org/10.1016/j.jsg.2017.09.013 Hillier, M. J., Schetselaar, E. M., de Kemp, E. A., & Perron, G. (2014). Three-dimensional modelling of geological surfaces using generalized interpolation with radial basis functions. Mathematical Geosciences, 46(8), 931–953. https://doi.org/10.1007/s11004- 014-9540-3 Jessell, M. W., Ailleres, L., de Kemp, E. A., Lindsay, M., & Wellmann, J. F. (2014). Next generation three-dimensional geologic modeling and inversion. Journal of Structural Geology, 74, 1–5. https://doi.org/10.1016/j.jsg.2015.02.006 Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice Hall. Lajaunie, C., Courrioux, G., & Manuel, L. (1997). Foliation fields and 3D cartography in geology: Principles of a method based on potential interpolation. Mathematical Geology, 29(4), 571–584. https://doi.org/10.1007/BF02775087 Laurent, G., Aillères, L., Grose, L., Caumon, G., Jessell, M., & Armit, R. (2016). Implicit modelling of folds and overprinting deformation. Earth and Planetary Science Letters, 456, 26–38. https://doi.org/10.1016/j.epsl.2016.09.040 Laurent, G., Caumon, G., Bouziat, A., & Jessell, M. (2013). A parametric method to model three- dimensional displacements around faults with volumetric vector fields. Tectonophysics, 590, 83–93. https://doi.org/10.1016/j.tecto.2013.01.015 Piaget, J. (1972). The psychology of the child. Basic Books. Van Rossum, G., & Drake, F. L. (2009). Python 3 reference manual. CreateSpace. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press. IIARD International Journal of Geography & Environmental Management Wellmann, J. F., & Caumon, G. (2018). 3-D structural geological models: Concepts, methods, and uncertainties. Advances in Geophysics, 59, 1–121. https://doi.org/10.1016/bs.agph.2018.09.001 (RWTH Publications) Wellmann, J. F., Horowitz, F. G., Schill, E., & Regenauer-Lieb, K. (2010). Towards incorporating uncertainty of structural data in 3D geological inversion. Tectonophysics, 490(3–4), 141– 151. https://doi.org/10.1016/j.tecto.2010.04.022 Wellmann, J. F., Lindsay, M., Poh, J., & Jessell, M. W. (2014). Validating 3D structural models with geological knowledge for improved uncertainty evaluations. Energy Procedia, 59, 374–381. https://doi.org/10.1016/j.egypro.2014.10.390 Wellmann, J. F., Thiele, S. T., Lindsay, M. D., & Jessell, M. W. (2016). pynoddy 1.0: An experimental platform for automated 3D kinematic and potential field modelling. Geoscientific Model Development, 9, 1019–1035. https://doi.org/10.5194/gmd-9-1019- 2016