| Name | stripy JSON |
| Version |
2.3.3
JSON |
| download |
| home_page | |
| Summary | Python interface to TRIPACK and STRIPACK fortran code for triangulation/interpolation in Cartesian coordinates and on a sphere |
| upload_time | 2023-12-06 00:17:28 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | GNU LESSER GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/> Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. This version of the GNU Lesser General Public License incorporates the terms and conditions of version 3 of the GNU General Public License, supplemented by the additional permissions listed below. 0. Additional Definitions. As used herein, "this License" refers to version 3 of the GNU Lesser General Public License, and the "GNU GPL" refers to version 3 of the GNU General Public License. "The Library" refers to a covered work governed by this License, other than an Application or a Combined Work as defined below. An "Application" is any work that makes use of an interface provided by the Library, but which is not otherwise based on the Library. Defining a subclass of a class defined by the Library is deemed a mode of using an interface provided by the Library. A "Combined Work" is a work produced by combining or linking an Application with the Library. The particular version of the Library with which the Combined Work was made is also called the "Linked Version". The "Minimal Corresponding Source" for a Combined Work means the Corresponding Source for the Combined Work, excluding any source code for portions of the Combined Work that, considered in isolation, are based on the Application, and not on the Linked Version. The "Corresponding Application Code" for a Combined Work means the object code and/or source code for the Application, including any data and utility programs needed for reproducing the Combined Work from the Application, but excluding the System Libraries of the Combined Work. 1. Exception to Section 3 of the GNU GPL. You may convey a covered work under sections 3 and 4 of this License without being bound by section 3 of the GNU GPL. 2. Conveying Modified Versions. If you modify a copy of the Library, and, in your modifications, a facility refers to a function or data to be supplied by an Application that uses the facility (other than as an argument passed when the facility is invoked), then you may convey a copy of the modified version: a) under this License, provided that you make a good faith effort to ensure that, in the event an Application does not supply the function or data, the facility still operates, and performs whatever part of its purpose remains meaningful, or b) under the GNU GPL, with none of the additional permissions of this License applicable to that copy. 3. Object Code Incorporating Material from Library Header Files. The object code form of an Application may incorporate material from a header file that is part of the Library. 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Each version is given a distinguishing version number. If the Library as you received it specifies that a certain numbered version of the GNU Lesser General Public License "or any later version" applies to it, you have the option of following the terms and conditions either of that published version or of any later version published by the Free Software Foundation. If the Library as you received it does not specify a version number of the GNU Lesser General Public License, you may choose any version of the GNU Lesser General Public License ever published by the Free Software Foundation. If the Library as you received it specifies that a proxy can decide whether future versions of the GNU Lesser General Public License shall apply, that proxy's public statement of acceptance of any version is permanent authorization for you to choose that version for the Library. |
| keywords |
triangulation
sphere
interpolation
mesh
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
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|
# Stripy
[](https://hub.docker.com/r/underworldcode/stripy)
[](https://pypi.org/project/stripy/)
[](https://github.com/underworldcode/stripy/actions?query=workflow%3A%22pip+builds%22)
A Python interface to TRIPACK and STRIPACK Fortran code for (constrained) triangulation in Cartesian coordinates and on a sphere. Stripy is an object-oriented package and includes routines from SRFPACK and SSRFPACK for interpolation (nearest neighbor, linear and hermite cubic) and to evaluate derivatives (Renka 1996a,b and 1997a,b).
`stripy` is bundled with `litho1pt0` which is a python interface to the _crust 1.0_ dataset and the lithospheric part of the _litho 1.0_ dataset (Laske et al, 2013 and Pasyanos et al, 2014) which both requires and demonstrates the triangulation / searching and interpolation on the sphere that is provided by `stripy`.
_Sample images created with `stripy` illustrating the meshing capability: ocean age data can be triangulated on the sphere with no need for points on land. Once `stripy` ingests your data points, you can sample another dataset to your grid (bathymetry on the right), smooth, find the derivatives of your data, or interpolate to another set of points._
## Documentation
There are two matching sets of `stripy` notebooks - one set for [Cartesian Triangulations](#Cartesian) and one for [Spherical Triangulations](#Spherical). For most geographical applications, the spherical triangulations are the natural choice as they expect longitude and latitude coordinates (admittedly in radians). There are some worked examples
which use the companion package litho1pt0
### Stable code
- Documentation / Notebooks [https://underworldcode.github.io/stripy/2.0.5b2](https://underworldcode.github.io/stripy/2.0.5b2)
- API documentation [https://underworldcode.github.io/stripy/2.0.5b2_api](https://underworldcode.github.io/stripy/2.0.5b2_api)
### Bleeding edge code
- Documentation / Notebooks [https://underworldcode.github.io/stripy/2.1.0b1](https://underworldcode.github.io/stripy/2.1.0b1)
- API documentation [https://underworldcode.github.io/stripy/2.1.0b1_api](https://underworldcode.github.io/stripy/2.1.0b1_api)
For previous versions, see the [changelog](Changelog.md)
### Installation & Running in the cloud
#### Binder
Launch the demonstration <!-- at [links.underworldcode.org/stripy-live (mybinder.org)](http://links.underworldcode.org/stripy-live) -->
[](http://links.underworldcode.org/stripy-live)
(This is the development branch)
[](https://mybinder.org/v2/gh/underworldcode/stripy/dev?filepath=Notebooks%2F0-StartHere.ipynb)
#### Citation
[](https://doi.org/10.21105/joss.01410)
Moresi, L. and Mather, B.R., (2019). Stripy: A Python module for (constrained) triangulation in Cartesian coordinates and on a sphere.. Journal of Open Source Software, 4(38), 1410, [https://doi.org/10.21105/joss.01410](https://doi.org/10.21105/joss.01410)
## Navigation / Notebooks
There are two matching sets of `stripy` notebooks - one set for [Cartesian Triangulations](#Cartesian) and one for [Spherical Triangulations](#Spherical). For most geographical applications, the spherical triangulations are the natural choice as they expect longitude and latitude coordinates (admittedly in radians).
Note: the Cartesian and Spherical notebooks can be obtained / installed from `stripy` itself as follows:
```bash
python -c 'import stripy; stripy.documentation.install_documentation(path="Notebooks")'
```
### Cartesian
- [Ex1-Cartesian-Triangulations.ipynb](stripy/Notebooks/CartesianTriangulations/Ex1-Cartesian-Triangulations.ipynb)
- [Ex2-CartesianGrids.ipynb](stripy/Notebooks/CartesianTriangulations/Ex2-CartesianGrids.ipynb)
- [Ex3-Interpolation.ipynb](stripy/Notebooks/CartesianTriangulations/Ex3-Interpolation.ipynb)
- [Ex4-Gradients.ipynb](stripy/Notebooks/CartesianTriangulations/Ex4-Gradients.ipynb)
- [Ex5-Smoothing.ipynb](stripy/Notebooks/CartesianTriangulations/Ex5-Smoothing.ipynb)
- [Ex6-Scattered-Data.ipynb](stripy/Notebooks/CartesianTriangulations/Ex6-Scattered-Data.ipynb)
- [Ex7-Refinement-of-Triangulations.ipynb](stripy/Notebooks/CartesianTriangulations/Ex7-Refinement-of-Triangulations.ipynb)
- [Ex8-Spline-Tension.ipynb](stripy/Notebooks/CartesianTriangulations/Ex8-Spline-Tension.ipynb)
- [Ex9-Voronoi-Diagram.ipynb](stripy/Notebooks/CartesianTriangulations/Ex9-Voronoi-Diagram.ipynb)
### Spherical
- [Ex1-Spherical-Triangulations.ipynb](stripy/Notebooks/SphericalTriangulations/Ex1-Spherical-Triangulations.ipynb)
- [Ex2-SphericalGrids.ipynb](stripy/Notebooks/SphericalTriangulations/Ex2-SphericalGrids.ipynb)
- [Ex3-Interpolation.ipynb](stripy/Notebooks/SphericalTriangulations/Ex3-Interpolation.ipynb)
- [Ex4-Gradients.ipynb](stripy/Notebooks/SphericalTriangulations/Ex4-Gradients.ipynb)
- [Ex5-Smoothing.ipynb](stripy/Notebooks/SphericalTriangulations/Ex5-Smoothing.ipynb)
- [Ex6-Scattered-Data.ipynb](stripy/Notebooks/SphericalTriangulations/Ex6-Scattered-Data.ipynb)
- [Ex7-Refinement-of-Triangulations.ipynb](stripy/Notebooks/SphericalTriangulations/Ex7-Refinement-of-Triangulations.ipynb)
- [Ex8-Spline-Tension.ipynb](stripy/Notebooks/SphericalTriangulations/Ex8-Spline-Tension.ipynb)
- [Ex9-Voronoi-Diagram.ipynb](stripy/Notebooks/SphericalTriangulations/Ex9-Voronoi-Diagram.ipynb)
### Examples
Note, these examples are the notebooks from `litho1pt0` which are installed from the
package itself:
```bash
python -c 'import litho1pt0; litho1pt0.documentation.install_documentation(path="Notebooks")'
```
The first three notebooks are an introduction to `litho1pt0` that does not explicitly mention `stripy` but
the next two worked examples show how to search, interpolate and plot with the help of `stripy` routines.
- [Ex1-Litho1Layers.ipynb](https://github.com/underworldcode/litho1pt0/blob/master/litho1pt0/Notebooks/litho1pt0/Ex1-Litho1Layers.ipynb)
- [Ex2-Litho1Properties.ipynb](https://github.com/underworldcode/litho1pt0/blob/master/litho1pt0/Notebooks/litho1pt0/Ex2-Litho1Properties.ipynb)
- [Ex3-CrustalRegionalisation.ipynb](https://github.com/underworldcode/litho1pt0/blob/master/litho1pt0/Notebooks/litho1pt0/Ex3-CrustalRegionalisation.ipynb)
- [WorkEx1-CratonAverageProperties.ipynb](https://github.com/underworldcode/litho1pt0/blob/master/litho1pt0/Notebooks/litho1pt0/WorkEx1-CratonAverageProperties.ipynb)
- [WorkEx2-OceanDepthAge.ipynb](https://github.com/underworldcode/litho1pt0/blob/master/litho1pt0/Notebooks/litho1pt0/WorkEx2-OceanDepthAge.ipynb)
## Installation
### Dependencies
You will need **Python 3.6+**.
Also, the following packages are required:
- [`gfortran`](https://www.fatiando.org/verde/latest/install.html) (or any Fortran compiler)
- [`numpy`](http://numpy.org)
- [`scipy`](https://scipy.org)
**Recommended Packages** for running the notebooks:
- [`litho1pt0`](https://pypi.org/project/litho1pt0/)
- [`matplotlib`](https://matplotlib.org/)
- [`imageio`](https://imageio.github.io/)
- [`cartopy`](https://scitools.org.uk/cartopy/docs/latest/)
- [`k3d`](https://github.com/K3D-tools/K3D-jupyter)
- [`xarray`](http://xarray.pydata.org/en/stable/)
- [`netcdf4`](https://unidata.github.io/netcdf4-python/)
All of which should be available from pip or anaconda (conda-forge) for most platforms.
### Installing using pip
You can install `stripy` using the
[`pip package manager`](https://pypi.org/project/pip/) with either version of Python:
```bash
python3 -m pip install stripy
```
All the dependencies will be automatically installed by `pip`, except for `gfortran`
(or any Fortran compiler). It must be installed in your system before installing
`stripy` with `pip`.
If you change the Fortran compiler, you may have to add the
flags `config_fc --fcompiler=<compiler name>` when `setup.py` is run
(see docs for [numpy.distutils](http://docs.scipy.org/doc/numpy-dev/f2py/distutils.html)).
### Installing with conda
If you use the anaconda packaging system, then you should be able to
```bash
conda install -c geo-down-under stripy
```
## Usage
Two classes are included as part of the Stripy package:
- `sTriangulation` (Spherical coordinates)
- `Triangulation` (Cartesian coordinates)
These classes share similar methods and can be easily interchanged.
In addition, there are many helper functions provided for building meshes.
A series of tests are located in the *tests* subdirectory.
In order to perform these tests clone the repository and run [`pytest`](https://pypi.org/project/pytest/):
```bash
git checkout https://github.com/underworldcode/stripy.git
cd stripy
pytest -v
```
## References
1. Laske, G., G. Masters, and Z. Ma (2013), Update on CRUST1. 0—A 1-degree global model of Earth's crust, Geophys Research Abstracts, 15, EGU2013–2658.
1. Pasyanos, M. E., T. G. Masters, G. Laske, and Z. Ma (2014), LITHO1.0: An updated crust and lithospheric model of the Earth, Journal of Geophysical Research-Solid Earth, 119(3), 2153–2173, doi:10.1002/2013JB010626.
1. R. J. Renka, "ALGORITHM 751: TRIPACK: A Constrained Two- Dimensional Delaunay Triangulation Package" ACM Trans. Math. Software, Vol. 22, No. 1, 1996, pp. 1-8.
1. R. J. Renka, "ALGORITHM 752: SRFPACK: Software for Scattered Data Fitting with a Constrained Surface under Tension", ACM Trans. Math. Software, Vol. 22, No. 1, 1996, pp. 9-17.
1. R. J. Renka, "ALGORITHM 772: STRIPACK: Delaunay Triangulation and Voronoi Diagram on the Surface of a Sphere" ACM Trans. Math. Software, Vol. 23, No. 3, 1997, pp. 416-434.
1. R. J. Renka, "ALGORITHM 773: SSRFPACK: Interpolation of Scattered Data on the Surface of a Sphere with a Surface under Tension", ACM Trans. Math. Software, Vol. 23, No. 3, 1997, pp. 437-439.
Raw data
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"name": "stripy",
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"requires_python": ">=3.7",
"maintainer_email": "Louis Moresi <louis.moresi@anu.edu.au>, Ben Mather <ben.mather@sydney.edu.au>",
"keywords": "triangulation sphere interpolation mesh",
"author": "",
"author_email": "Louis Moresi <louis.moresi@anu.edu.au>, Ben Mather <ben.mather@sydney.edu.au>",
"download_url": "https://files.pythonhosted.org/packages/3f/f3/9275485c6f138bdc79d78bc9879ee84afb994b1ed9089f741a9c1580eb1b/stripy-2.3.3.tar.gz",
"platform": null,
"description": "# Stripy\n\n[](https://hub.docker.com/r/underworldcode/stripy)\n[](https://pypi.org/project/stripy/)\n\n[](https://github.com/underworldcode/stripy/actions?query=workflow%3A%22pip+builds%22)\n\n\n\n\nA Python interface to TRIPACK and STRIPACK Fortran code for (constrained) triangulation in Cartesian coordinates and on a sphere. Stripy is an object-oriented package and includes routines from SRFPACK and SSRFPACK for interpolation (nearest neighbor, linear and hermite cubic) and to evaluate derivatives (Renka 1996a,b and 1997a,b).\n\n`stripy` is bundled with `litho1pt0` which is a python interface to the _crust 1.0_ dataset and the lithospheric part of the _litho 1.0_ dataset (Laske et al, 2013 and Pasyanos et al, 2014) which both requires and demonstrates the triangulation / searching and interpolation on the sphere that is provided by `stripy`.\n\n\n\n\n_Sample images created with `stripy` illustrating the meshing capability: ocean age data can be triangulated on the sphere with no need for points on land. Once `stripy` ingests your data points, you can sample another dataset to your grid (bathymetry on the right), smooth, find the derivatives of your data, or interpolate to another set of points._\n\n## Documentation\n\nThere are two matching sets of `stripy` notebooks - one set for [Cartesian Triangulations](#Cartesian) and one for [Spherical Triangulations](#Spherical). For most geographical applications, the spherical triangulations are the natural choice as they expect longitude and latitude coordinates (admittedly in radians). There are some worked examples\nwhich use the companion package litho1pt0\n\n### Stable code \n\n - Documentation / Notebooks [https://underworldcode.github.io/stripy/2.0.5b2](https://underworldcode.github.io/stripy/2.0.5b2)\n - API documentation [https://underworldcode.github.io/stripy/2.0.5b2_api](https://underworldcode.github.io/stripy/2.0.5b2_api)\n\n### Bleeding edge code \n\n\n - Documentation / Notebooks [https://underworldcode.github.io/stripy/2.1.0b1](https://underworldcode.github.io/stripy/2.1.0b1)\n - API documentation [https://underworldcode.github.io/stripy/2.1.0b1_api](https://underworldcode.github.io/stripy/2.1.0b1_api)\n\nFor previous versions, see the [changelog](Changelog.md)\n\n### Installation & Running in the cloud\n\n#### Binder\n\nLaunch the demonstration <!-- at [links.underworldcode.org/stripy-live (mybinder.org)](http://links.underworldcode.org/stripy-live) -->\n\n[](http://links.underworldcode.org/stripy-live)\n\n(This is the development branch)\n\n[](https://mybinder.org/v2/gh/underworldcode/stripy/dev?filepath=Notebooks%2F0-StartHere.ipynb)\n\n\n#### Citation\n\n[](https://doi.org/10.21105/joss.01410)\n\nMoresi, L. and Mather, B.R., (2019). Stripy: A Python module for (constrained) triangulation in Cartesian coordinates and on a sphere.. Journal of Open Source Software, 4(38), 1410, [https://doi.org/10.21105/joss.01410](https://doi.org/10.21105/joss.01410)\n\n## Navigation / Notebooks\n\n\nThere are two matching sets of `stripy` notebooks - one set for [Cartesian Triangulations](#Cartesian) and one for [Spherical Triangulations](#Spherical). For most geographical applications, the spherical triangulations are the natural choice as they expect longitude and latitude coordinates (admittedly in radians).\n\nNote: the Cartesian and Spherical notebooks can be obtained / installed from `stripy` itself as follows:\n\n```bash\n python -c 'import stripy; stripy.documentation.install_documentation(path=\"Notebooks\")'\n```\n\n### Cartesian\n\n - [Ex1-Cartesian-Triangulations.ipynb](stripy/Notebooks/CartesianTriangulations/Ex1-Cartesian-Triangulations.ipynb)\n - [Ex2-CartesianGrids.ipynb](stripy/Notebooks/CartesianTriangulations/Ex2-CartesianGrids.ipynb)\n - [Ex3-Interpolation.ipynb](stripy/Notebooks/CartesianTriangulations/Ex3-Interpolation.ipynb)\n - [Ex4-Gradients.ipynb](stripy/Notebooks/CartesianTriangulations/Ex4-Gradients.ipynb)\n - [Ex5-Smoothing.ipynb](stripy/Notebooks/CartesianTriangulations/Ex5-Smoothing.ipynb)\n - [Ex6-Scattered-Data.ipynb](stripy/Notebooks/CartesianTriangulations/Ex6-Scattered-Data.ipynb)\n - [Ex7-Refinement-of-Triangulations.ipynb](stripy/Notebooks/CartesianTriangulations/Ex7-Refinement-of-Triangulations.ipynb)\n - [Ex8-Spline-Tension.ipynb](stripy/Notebooks/CartesianTriangulations/Ex8-Spline-Tension.ipynb)\n - [Ex9-Voronoi-Diagram.ipynb](stripy/Notebooks/CartesianTriangulations/Ex9-Voronoi-Diagram.ipynb)\n\n### Spherical\n\n - [Ex1-Spherical-Triangulations.ipynb](stripy/Notebooks/SphericalTriangulations/Ex1-Spherical-Triangulations.ipynb)\n - [Ex2-SphericalGrids.ipynb](stripy/Notebooks/SphericalTriangulations/Ex2-SphericalGrids.ipynb)\n - [Ex3-Interpolation.ipynb](stripy/Notebooks/SphericalTriangulations/Ex3-Interpolation.ipynb)\n - [Ex4-Gradients.ipynb](stripy/Notebooks/SphericalTriangulations/Ex4-Gradients.ipynb)\n - [Ex5-Smoothing.ipynb](stripy/Notebooks/SphericalTriangulations/Ex5-Smoothing.ipynb)\n - [Ex6-Scattered-Data.ipynb](stripy/Notebooks/SphericalTriangulations/Ex6-Scattered-Data.ipynb)\n - [Ex7-Refinement-of-Triangulations.ipynb](stripy/Notebooks/SphericalTriangulations/Ex7-Refinement-of-Triangulations.ipynb)\n - [Ex8-Spline-Tension.ipynb](stripy/Notebooks/SphericalTriangulations/Ex8-Spline-Tension.ipynb)\n - [Ex9-Voronoi-Diagram.ipynb](stripy/Notebooks/SphericalTriangulations/Ex9-Voronoi-Diagram.ipynb)\n\n\n### Examples\n\nNote, these examples are the notebooks from `litho1pt0` which are installed from the\npackage itself:\n\n```bash\n python -c 'import litho1pt0; litho1pt0.documentation.install_documentation(path=\"Notebooks\")'\n```\n\nThe first three notebooks are an introduction to `litho1pt0` that does not explicitly mention `stripy` but\nthe next two worked examples show how to search, interpolate and plot with the help of `stripy` routines.\n\n - [Ex1-Litho1Layers.ipynb](https://github.com/underworldcode/litho1pt0/blob/master/litho1pt0/Notebooks/litho1pt0/Ex1-Litho1Layers.ipynb)\n - [Ex2-Litho1Properties.ipynb](https://github.com/underworldcode/litho1pt0/blob/master/litho1pt0/Notebooks/litho1pt0/Ex2-Litho1Properties.ipynb)\n - [Ex3-CrustalRegionalisation.ipynb](https://github.com/underworldcode/litho1pt0/blob/master/litho1pt0/Notebooks/litho1pt0/Ex3-CrustalRegionalisation.ipynb)\n - [WorkEx1-CratonAverageProperties.ipynb](https://github.com/underworldcode/litho1pt0/blob/master/litho1pt0/Notebooks/litho1pt0/WorkEx1-CratonAverageProperties.ipynb)\n - [WorkEx2-OceanDepthAge.ipynb](https://github.com/underworldcode/litho1pt0/blob/master/litho1pt0/Notebooks/litho1pt0/WorkEx2-OceanDepthAge.ipynb)\n\n\n## Installation\n\n### Dependencies\n\nYou will need **Python 3.6+**.\nAlso, the following packages are required:\n\n - [`gfortran`](https://www.fatiando.org/verde/latest/install.html) (or any Fortran compiler)\n - [`numpy`](http://numpy.org)\n - [`scipy`](https://scipy.org)\n\n**Recommended Packages** for running the notebooks:\n\n - [`litho1pt0`](https://pypi.org/project/litho1pt0/)\n - [`matplotlib`](https://matplotlib.org/)\n - [`imageio`](https://imageio.github.io/)\n - [`cartopy`](https://scitools.org.uk/cartopy/docs/latest/)\n - [`k3d`](https://github.com/K3D-tools/K3D-jupyter)\n - [`xarray`](http://xarray.pydata.org/en/stable/)\n - [`netcdf4`](https://unidata.github.io/netcdf4-python/)\n\nAll of which should be available from pip or anaconda (conda-forge) for most platforms.\n\n### Installing using pip\n\nYou can install `stripy` using the\n[`pip package manager`](https://pypi.org/project/pip/) with either version of Python:\n\n```bash\npython3 -m pip install stripy\n```\n\nAll the dependencies will be automatically installed by `pip`, except for `gfortran`\n(or any Fortran compiler). It must be installed in your system before installing\n`stripy` with `pip`.\n\nIf you change the Fortran compiler, you may have to add the\nflags `config_fc --fcompiler=<compiler name>` when `setup.py` is run\n(see docs for [numpy.distutils](http://docs.scipy.org/doc/numpy-dev/f2py/distutils.html)).\n\n### Installing with conda\n\nIf you use the anaconda packaging system, then you should be able to \n\n```bash\nconda install -c geo-down-under stripy\n```\n\n## Usage\n\nTwo classes are included as part of the Stripy package:\n\n- `sTriangulation` (Spherical coordinates)\n- `Triangulation` (Cartesian coordinates)\n\nThese classes share similar methods and can be easily interchanged.\nIn addition, there are many helper functions provided for building meshes.\n\nA series of tests are located in the *tests* subdirectory.\nIn order to perform these tests clone the repository and run [`pytest`](https://pypi.org/project/pytest/):\n\n```bash\ngit checkout https://github.com/underworldcode/stripy.git\ncd stripy\npytest -v\n```\n\n\n## References\n\n 1. Laske, G., G. Masters, and Z. Ma (2013), Update on CRUST1. 0\u2014A 1-degree global model of Earth's crust, Geophys Research Abstracts, 15, EGU2013\u20132658.\n\n 1. Pasyanos, M. E., T. G. Masters, G. Laske, and Z. Ma (2014), LITHO1.0: An updated crust and lithospheric model of the Earth, Journal of Geophysical Research-Solid Earth, 119(3), 2153\u20132173, doi:10.1002/2013JB010626.\n\n 1. R. J. Renka, \"ALGORITHM 751: TRIPACK: A Constrained Two- Dimensional Delaunay Triangulation Package\" ACM Trans. Math. Software, Vol. 22, No. 1, 1996, pp. 1-8.\n\n 1. R. J. Renka, \"ALGORITHM 752: SRFPACK: Software for Scattered Data Fitting with a Constrained Surface under Tension\", ACM Trans. Math. Software, Vol. 22, No. 1, 1996, pp. 9-17.\n\n 1. R. J. Renka, \"ALGORITHM 772: STRIPACK: Delaunay Triangulation and Voronoi Diagram on the Surface of a Sphere\" ACM Trans. Math. Software, Vol. 23, No. 3, 1997, pp. 416-434.\n\n 1. R. J. Renka, \"ALGORITHM 773: SSRFPACK: Interpolation of Scattered Data on the Surface of a Sphere with a Surface under Tension\", ACM Trans. Math. Software, Vol. 23, No. 3, 1997, pp. 437-439.\n",
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