From 4533b7af758e3edaacc2e55f97fd4bf7d5efc1d4 Mon Sep 17 00:00:00 2001 From: thouska Date: Mon, 27 Feb 2023 16:10:42 +0100 Subject: [PATCH] Fix for #300 --- docs/Bayesian_uncertainty_analysis_with_DREAM.md | 2 +- docs/Calibration_with_SCE-UA.md | 2 +- docs/How_to_link_a_model_to_SPOTPY.md | 2 +- docs/Sensitivity_analysis_with_FAST.md | 2 +- docs/index.md | 13 +++++-------- 5 files changed, 9 insertions(+), 12 deletions(-) diff --git a/docs/Bayesian_uncertainty_analysis_with_DREAM.md b/docs/Bayesian_uncertainty_analysis_with_DREAM.md index cbeabb2b..48fa47f5 100644 --- a/docs/Bayesian_uncertainty_analysis_with_DREAM.md +++ b/docs/Bayesian_uncertainty_analysis_with_DREAM.md @@ -125,4 +125,4 @@ Or if you want to check the posterior parameter distribution: *Figure 3: Posterior parameter distribution of HYMOD. Plotting the last 100 repetitions of the algorithm as a histogram.* -The corresponding code is available for download [here](https://github.com/thouska/spotpy/blob/master/spotpy/examples/tutorial_dream_hymod.py). \ No newline at end of file +The corresponding code is available for download [here](https://github.com/thouska/spotpy/tree/master/tutorials/tutorial_dream_hymod.py). \ No newline at end of file diff --git a/docs/Calibration_with_SCE-UA.md b/docs/Calibration_with_SCE-UA.md index d522f4e7..e37bdc1f 100644 --- a/docs/Calibration_with_SCE-UA.md +++ b/docs/Calibration_with_SCE-UA.md @@ -86,4 +86,4 @@ The best model run can be plotted by using basic Matplotlib skills: *Figure 2: Best model run of HYMOD, calibrated with SCE-UA, using RMSE as objective function.* -The corresponding code is available for download [here](https://github.com/thouska/spotpy/blob/master/spotpy/examples/tutorial_sceua_hymod.py). \ No newline at end of file +The corresponding code is available for download [here](https://github.com/thouska/spotpy/tree/master/tutorials/tutorial_sceua_hymod.py). \ No newline at end of file diff --git a/docs/How_to_link_a_model_to_SPOTPY.md b/docs/How_to_link_a_model_to_SPOTPY.md index ccb08d07..d5acca4e 100644 --- a/docs/How_to_link_a_model_to_SPOTPY.md +++ b/docs/How_to_link_a_model_to_SPOTPY.md @@ -123,4 +123,4 @@ A value of 0 would be a perfect fit of the simulation and observation data, +inf return like Finally, save the file and check out the next example how to use the spotpy setup class with an algorithm. -The shown example code is available [here](https://github.com/thouska/spotpy/blob/master/spotpy/examples/spot_setup_hymod_python.py) \ No newline at end of file +The shown example code is available [here](https://github.com/thouska/spotpy/tree/master/src/spotpy/examples/spot_setup_hymod_python.py) \ No newline at end of file diff --git a/docs/Sensitivity_analysis_with_FAST.md b/docs/Sensitivity_analysis_with_FAST.md index 0aff64d9..7d75d136 100644 --- a/docs/Sensitivity_analysis_with_FAST.md +++ b/docs/Sensitivity_analysis_with_FAST.md @@ -59,4 +59,4 @@ is available *Figure 1: Example output of a sensitivity analysis using the FAST (Fourier Amplitude Sensitivity Test). Total sensitivity index is plotted for every model parameter. Sensitive parameters are plotted in blue, insensitive parameter in orange.* -The corresponding code is available for download [here](https://github.com/thouska/spotpy/blob/master/spotpy/examples/tutorial_fast_hymod.py). +The corresponding code is available for download [here](https://github.com/thouska/spotpy/blob/master/tutorials/tutorial_fast_hymod.py). diff --git a/docs/index.md b/docs/index.md index be990ea0..c1e9465d 100644 --- a/docs/index.md +++ b/docs/index.md @@ -106,18 +106,15 @@ Optional packages are: all packages are pre-installed e.g. in the following packages: -* [Python xy](https://code.google.com/p/pythonxy/ "Python xy") version >2.7 -* [WinPython](http://winpython.sourceforge.net/ "WinPython) version >2.7 +* [Python xy](https://code.google.com/p/pythonxy/ "Python xy") version >3.5 +* [WinPython](http://winpython.sourceforge.net/ "WinPython") version >3.5 +* [Anaconda](https://www.anaconda.com/products/distribution "Anaconda") version >3.5 ### Download SPOTPY is available on [PYPI](https://pypi.python.org/pypi/spotpy "spotpy") and [GitHub](https://github.com/thouska/spotpy "spotpy"). This should make installation easy, as you just have to use a command window and type pip install spotpy - -Alternatively, you can download the latest version of SPOTPY with a [SVN-Client](http://tortoisesvn.net/index.de.html "TortoiseSVN"). - -With this software you just have to check out: `svn://fb09-pasig.umwelt.uni-giessen.de/spotpy/trunk` The recommended place for the SPOTPY package is in the site-packages folder in your Python Path, just the location of all other Python packages. @@ -173,9 +170,9 @@ The results can be analysed with some pre-build statistics and plotting features spotpy_setup_griewank.py # Example SPOTPY setup to analyse the Griewank function spotpy_setup_rosenbrock.py # Example SPOTPY setup to analyse the Rosenbrock function getting_started.py # Recommended test file for starters + + tutorials/ tutorial_rosenbrock.py # Source code for the Rosenbrock example the Tutorial tutorial_griewank.py # Source code for the Rosenbrock example the Tutorial tutorial_ackley.py # Source code for the Rosenbrock example the Tutorial tutorial_Parameterlist_iterator.py # Example how to sample given parameter combinations - 3dplot.py # Response surface plot of example files -