References
- CBAH+97
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- CKH+15
Rowan Cockett, Seogi Kang, Lindsey J Heagy, Adam Pidlisecky, and Douglas W Oldenburg. Simpeg: an open source framework for simulation and gradient based parameter estimation in geophysical applications. Computers & Geosciences, 85:142–154, 2015.
- dlVSW19
Miguel de la Varga, Alexander Schaaf, and Florian Wellmann. GemPy 1.0: open-source stochastic geological modeling and inversion. Geoscientific Model Development, 2019.
- HH17
Stephan Hoyer and Joe Hamman. Xarray: nd labeled arrays and datasets in python. Journal of Open Research Software, 2017.
- IPC15
Stratos Idreos, Olga Papaemmanouil, and Surajit Chaudhuri. Overview of data exploration techniques. In Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, 277–281. ACM, 2015.
- Jor14
K Jordahl. Geopandas: python tools for geographic data. URL: https://github. com/geopandas/geopandas, 2014.
- LW15
DJ Lampert and M Wu. Development of an open-source software package for watershed modeling with the hydrological simulation program in fortran. Environmental Modelling & Software, 68:166–174, 2015.
- MS19
Sebastian Müller and Lennart Schüler. GeoStat-Framework/GSTools: Reverberating Red. October 2019. URL: https://doi.org/10.5281/zenodo.3468230, doi:10.5281/zenodo.3468230.
- RuckerGuntherW17
Carsten Rücker, Thomas Günther, and Florian M Wagner. pyGIMLi: An open-source library for modelling and inversion in geophysics. Computers & Geosciences, 109:106–123, 2017.
- SLM04
Will J Schroeder, Bill Lorensen, and Ken Martin. The visualization toolkit: an object-oriented approach to 3D graphics. Kitware, 2004.
- WM18
Jeffrey B Witter and Glenn Melosh. The Value and Limitations of 3D Models for Geothermal Exploration. 43rd Workshop on Geothermal Reservoir Engineering, Standford University, pages SGP–TR–213, 2018.