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@@ -39,9 +39,9 @@ This program does not need installation; it is just a pyrhon script. The user ma
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## Plot Tools
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By 'Plot Tools', we mean an array of shell ([Bash](https://www.gnu.org/software/bash/)) scripts that can be used to plot `StrainTensor.py` results. These scripts actualy use [GMT](http://gmt.soest.hawaii.edu/) to perform the plotting. The scripts are an efficient, ready-to-use
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By 'Plot Tools', we mean an array of shell ([Bash](https://www.gnu.org/software/bash/)) scripts that can be used to plot `StrainTensor.py` results. These scripts actualy use [GMT](http://gmt.soest.hawaii.edu/) to perform the plotting. The scripts are efficient, ready-to-use.
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It is by no means mandatory to use these scripts to plot the results; users can use their own tools and/or scripts to do so. Actualy, this is a totaly independent part of the Project and can be skipped alltogether.
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It is by no means mandatory to use these scripts to plot the results; users can use their own tools and/or scripts to do so. Actually, this is a totaly independent part of the Project and can be skipped alltogether.
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These scripts, are found under `StrainTool/plot`
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*[python](https://www.python.org/downloads/); the installation has been tested under Versions 2.7 and 3.6 and both work fine.
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*[NumPy](http://www.numpy.org/); NumPy is the fundamental package for scientific computing with Python.
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*[SciPy](https://www.scipy.org/); SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. Actualy, we are only using the [SciPy.linalg](https://docs.scipy.org/doc/scipy/reference/linalg.html) and [SciPy.spatial](https://docs.scipy.org/doc/scipy/reference/spatial.html) modules.
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*[SciPy](https://www.scipy.org/); SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. Actually, we are only using the [SciPy.linalg](https://docs.scipy.org/doc/scipy/reference/linalg.html) and [SciPy.spatial](https://docs.scipy.org/doc/scipy/reference/spatial.html) modules.
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Both `NumPy` and `SciPy` have extended installation guides for most, if not all, operating systems.
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To use the [Plot Tools](#plot_tools_pck) bundle, you must have [GMT](http://gmt.soest.hawaii.edu/) (> 5.0.0) installed, allong with a variety of UNIX-based tools. If you are on a UNIX/Linux operating system, most or all of them are pre-installed.
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To use the [Plot Tools](#plot_tools_pck) bundle, you must have [GMT](http://gmt.soest.hawaii.edu/) (> 5.0.0) installed, along with a variety of UNIX-based tools. If you are on a UNIX/Linux operating system, most or all of them are pre-installed.
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## Installation Procedure
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### Installation tests
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The following scenarios have been tested to validatethe installation procedure
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The following scenarios have been tested to validate the installation procedure
meant that we are estimating strain tensor parameters for the region within min/max longtitude: 18.75/30.25 degrees and min/max latitude: 32.75/42.25 degrees. We are seperating the region into cells of size 0.5 degrees and estimating one strain tensor in each cell centre (aka the first cell centre is $lon = lon_{min} + lon_{step}/2 = 18.75 + 0.5/2=19.0deg.$ and $lat = lat_{min} + lat_{step}/2 = 32.75 + 0.5/2 = 33.0deg.$, then next one will be at lon=19.5, lat=33.5, etc...). To estimate each strain tensor, the program will search for a "optimal" D coefficient within the range [1, 500) km with a step of 1km. This "optimal" D will be found when the condition $W = \sum_{n=1}^{\#sta*2} Z(i)*L(i) \geq W_t$ is met. The stations that will be used for the calculations are only those that fall within the specified longtitude/latitude range. For more information, see [Background and Algorithms](#bck_and_algorithms) section.
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## Input Files
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To perform the computations, `StrainTensor.py` needs an input file, that holds input data. Usually, this implies a list of GPS/GNSS stations with their ellipsoidal coordinates (aka longtitude and latitude) and their respective tectonic velocities (usually estimated using position time-series) allong with the corresponding standard deviation values. The format of these files, should follow the convention:
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To perform the computations, `StrainTensor.py` needs an input file, that holds input data. Usually, this implies a list of GPS/GNSS stations with their ellipsoidal coordinates (aka longtitude and latitude) and their respective tectonic velocities (usually estimated using position time-series) along with the corresponding standard deviation values. The format of these files, should follow the convention:
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<preid="block-samp"<samp=""> station-name longtitude latitude Ve Vn SigmaVe SigmaVn Sne time-span
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