Spatial data and information processing for geomodeling
Overview
This repository provides the notebooks and data to the example models of GemGIS and GemPy.
For more information about GemGIS and GemPy see the dedicated Github Repositories and Documentation pages:
References
- Jüstel, A., Endlein Correira, A., Wellmann, F. and Pischke, M.: GemGIS – GemPy Geographic: Open-Source Spatial Data Processing for Geological Modeling. EGU General Assembly 2021, https://doi.org/10.5194/egusphere-egu21-4613, 2021
- Jüstel, A.: 3D Probabilistic Modeling and Data Analysis of the Aachen-Weisweiler Area: Implications for Deep Geothermal Energy Exploration, unpublished Master Thesis at RWTH Aachen University, 2020
- de la Varga, M., Schaaf, A., and Wellmann, F.: GemPy 1.0: open-source stochastic geological modeling and inversion, Geosci. Model Dev., 12, 1-32, https://doi.org/10.5194/gmd-12-1-2019, 2019
- Powell, D.: Interpretation of Geological Structures Through Maps: An Introductory Practical Manual, Longman, pp. 192, 1992
- Bennison, G.M.: An Introduction to Geological Structures and Maps, Hodder Education Publication, pp. 78, 1990
Metadata
Release files for gemgis-data 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gemgis_data-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Release files / gemgis_data-0.0.2-py3-none-any.whl
| Download URL | gemgis_data-0.0.2-py3-none-any.whl |
|---|---|
| Size | 6.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
65fe79d5fc6f7e145250cb38b9a496355b9e0aa19df7e8bfb5655a0070ad978f
|
|
BLAKE2b-256 checksum How to use checksums |
c7b1573ed92b028456221caa81a965d3ceedc73da5c1496983d0fd946a864a57
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.28.1 setuptools/65.6.3 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
|