Link FieldTools

README.md

@@ -20,9 +20,9 @@ You should have received a copy of the GNU General Public License
 along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 # Citation
-> Schanner, Maximilian Arthus and Mauerberger, Stefan (2019)  
-> CORBASS: CORrelation Based Archeomagnetic SnapShot model. V. 1.0.  
-> GFZ Data Services. http://doi.org/10.5880/GFZ.2.3.2019.008 
+> Schanner, Maximilian Arthus and Mauerberger, Stefan (2019)
+> CORBASS: CORrelation Based Archeomagnetic SnapShot model. V. 1.0.
+> GFZ Data Services. http://doi.org/10.5880/GFZ.2.3.2019.008
 
 [![DOI](https://img.shields.io/badge/DOI-10.5880%2FGFZ.2.3.2019.008-blue.svg)](http://doi.org/10.5880/GFZ.2.3.2019.008)
 
@@ -38,8 +38,8 @@ graph LR;
   ParameterFile-->Exploration-->Integration-->Evaluation;
 ```
 
-`CORBASS` uses parameter files, which include among other things a link to 
-datasets, in a format similar to the [GEOMAGIA](http://geomagia.gfz-potsdam.de/) 
+`CORBASS` uses parameter files, which include among other things a link to
+datasets, in a format similar to the [GEOMAGIA](http://geomagia.gfz-potsdam.de/)
 output. Thus a first step is to create such a file for your data. You can find
 an [example](examples/Example_Parfile.py)
 in the [*examples* section].
@@ -47,7 +47,7 @@ in the [*examples* section].
 Once you have a parameter file, the recommended way to run `CORBASS` is to use
 
 ```console
-(CORBASS)$ python run.py <path/to/parfile.py>  
+(CORBASS)$ python run.py <path/to/parfile.py>
 ```
 
 This way the `CORBASS` posterior model coefficients, the NEZ- and DIF-field models
@@ -55,7 +55,7 @@ and down component and intensity at the CMB are calculated and provided as `.txt
 files. The output location is specified in the parameter file.
 
 Under the hood, `CORBASS` first explores the model parameter space by using the
-`exploration` module. This way the region of interest, i.e. where the 
+`exploration` module. This way the region of interest, i.e. where the
 probability mass is concentrated, is found and can be accessed by the
 `integration` module. The output can then be used to calculate further results,
 using the `evaluation` module.
@@ -66,14 +66,14 @@ each module in the [*examples* section].
 [*examples* section]: examples
 
 # Installation
-0. Clone the repository 
+0. Clone the repository
    ```console
     $ git clone https://gitext.gfz-potsdam.de/arthus/corbass.git
    ```
    In the following `<corbass>` refers to the path you cloned the `CORBASS` repository into.
 
 1. Download and install [Miniconda](https://conda.io/miniconda.html) for Python 3.
-   By default, the installation directory `<conda>` is `~/miniconda3/`.  
+   By default, the installation directory `<conda>` is `~/miniconda3/`.
    If you let conda modify your `bash.rc`, `<conda>/bin/conda` may be replaced by
    `conda`.
 
@@ -99,7 +99,7 @@ each module in the [*examples* section].
    $ source <conda>/bin/activate CORBASS
    ```
 
-   Careful with tcshell, you have to use activate.csh.  
+   Careful with tcshell, you have to use activate.csh.
    When you are done, deactivate the environment by
    ```console
    (CORBASS)$ conda deactivate
@@ -116,44 +116,44 @@ each module in the [*examples* section].
    $ <conda>/bin/conda env update -f corbass.yml
    ```
 
-[FieldTools]: https://gitup.uni-potsdam.de/matusche/fieldtools
+[FieldTools]: https://doi.org/10.5880/fidgeo.2019.033
 
 # Contact
-* [Maximilian Schanner](mailto:arthus@gfz-potsdam.de)  
-Helmholtz Centre Potsdam German Research Centre for Geoscienes GFZ  
-Section 2.3: Geomagnetism  
-Telegrafenberg  
+* [Maximilian Schanner](mailto:arthus@gfz-potsdam.de)
+Helmholtz Centre Potsdam German Research Centre for Geoscienes GFZ
+Section 2.3: Geomagnetism
+Telegrafenberg
 14473 Potsdam, Germany
 
-* [Stefan Mauerberger](mailto:mauerber@uni-potsdam.de)  
-Institut of mathematics  
-University of Potsdam  
-Campus Golm, Haus 9  
-Karl-Liebknecht-Str. 24-25  
+* [Stefan Mauerberger](mailto:mauerber@uni-potsdam.de)
+Institut of mathematics
+University of Potsdam
+Campus Golm, Haus 9
+Karl-Liebknecht-Str. 24-25
 14476 Potsdam OT Golm, Germany
 
 # References
 `CORBASS` uses `numpy`, `scipy`, `pandas`, `matplotlib` and `cartopy`:
 
-[\[scipy\]](https://www.scipy.org/) Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland,  
-Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson,   
-Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett,  
-Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson,   
-Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan Polat, Yu Feng,  
-Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman,  
-Ian Henriksen, E.A. Quintero, Charles R Harris, Anne M. Archibald,  
-Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt,  
-and SciPy 1.0 Contributors (2020)  
-"SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python".  
+[\[scipy\]](https://www.scipy.org/) Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland,
+Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson,
+Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett,
+Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson,
+Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan Polat, Yu Feng,
+Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman,
+Ian Henriksen, E.A. Quintero, Charles R Harris, Anne M. Archibald,
+Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt,
+and SciPy 1.0 Contributors (2020)
+"SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python".
 Nature Methods, in press.
 
-[\[pandas\]](https://pandas.pydata.org/)  Wes McKinney (2010)   
-"Data structures for statistical computing in python",  
+[\[pandas\]](https://pandas.pydata.org/)  Wes McKinney (2010)
+"Data structures for statistical computing in python",
 Proceedings of the 9th Python in Science Conference, Volume 445
 
-[\[matplotlib\]](https://matplotlib.org/)  J. D. Hunter (2007)  
-"Matplotlib: A 2D Graphics Environment",  
+[\[matplotlib\]](https://matplotlib.org/)  J. D. Hunter (2007)
+"Matplotlib: A 2D Graphics Environment",
 Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95
 
-[\[cartopy\]](https://scitools.org.uk/cartopy) Met Office (2015)  
-"Cartopy: a cartographic python library with a Matplotlib interface"
\ No newline at end of file
+[\[cartopy\]](https://scitools.org.uk/cartopy) Met Office (2015)
+"Cartopy: a cartographic python library with a Matplotlib interface"