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Tutorials
=========




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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to perform standard operations on a catalog. This example requires an internet connection to access ComCat.">

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  .. image:: /tutorials/images/thumb/sphx_glr_catalog_filtering_thumb.png
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  :ref:`sphx_glr_tutorials_catalog_filtering.py`

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      <div class="sphx-glr-thumbnail-title">Catalogs operations</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to evaluate a catalog-based forecasting using the Number test. This test is the simplest of the evaluations.">

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  .. image:: /tutorials/images/thumb/sphx_glr_catalog_forecast_evaluation_thumb.png
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  :ref:`sphx_glr_tutorials_catalog_forecast_evaluation.py`

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      <div class="sphx-glr-thumbnail-title">Catalog-based Forecast Evaluation</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to evaluate a grid-based and time-independent forecast. Grid-based forecasts assume the variability of the forecasts is Poissonian. Therefore, Poisson-based evaluations should be used to evaluate grid-based forecasts.">

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  .. image:: /tutorials/images/thumb/sphx_glr_gridded_forecast_evaluation_thumb.png
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  :ref:`sphx_glr_tutorials_gridded_forecast_evaluation.py`

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      <div class="sphx-glr-thumbnail-title">Grid-based Forecast Evaluation</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to include some advanced options in the spatial visualization of Gridded Forecasts and Evaluation Results">

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  .. image:: /tutorials/images/thumb/sphx_glr_plot_customizations_thumb.png
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  :ref:`sphx_glr_tutorials_plot_customizations.py`

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      <div class="sphx-glr-thumbnail-title">Plot customizations</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example show you how to load a gridded forecast stored in the default ASCII format.">

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  .. image:: /tutorials/images/thumb/sphx_glr_plot_gridded_forecast_thumb.png
    :alt:

  :ref:`sphx_glr_tutorials_plot_gridded_forecast.py`

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      <div class="sphx-glr-thumbnail-title">Plotting gridded forecast</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to create a quadtree based single resolution-grid and multi-resolution grid. Multi-resolution grid is created using earthquake catalog, in which seismic density determines the size of a grid cell.  In creating a multi-resolution grid we select a threshold (N_{max}) as a maximum number of earthquake in each cell. In single-resolution grid, we simply select a zoom-level (L) that determines a single resolution grid. The number of cells in single-resolution grid are equal to 4^L. The zoom-level L=11 leads to 4.2 million cells, nearest to 0.1x0.1 grid.">

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  .. image:: /tutorials/images/thumb/sphx_glr_quadtree_gridded_forecast_evaluation_thumb.png
    :alt:

  :ref:`sphx_glr_tutorials_quadtree_gridded_forecast_evaluation.py`

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      <div class="sphx-glr-thumbnail-title">Quadtree Grid-based Forecast Evaluation</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows some basic interactions with data-based forecasts. We will load in a forecast stored in the CSEP data format, and compute the expected rates on a 0.1° x 0.1° grid covering the state of California. We will plot the expected rates in the spatial cells.">

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  .. image:: /tutorials/images/thumb/sphx_glr_working_with_catalog_forecasts_thumb.png
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  :ref:`sphx_glr_tutorials_working_with_catalog_forecasts.py`

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      <div class="sphx-glr-thumbnail-title">Working with catalog-based forecasts</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /tutorials/catalog_filtering
   /tutorials/catalog_forecast_evaluation
   /tutorials/gridded_forecast_evaluation
   /tutorials/plot_customizations
   /tutorials/plot_gridded_forecast
   /tutorials/quadtree_gridded_forecast_evaluation
   /tutorials/working_with_catalog_forecasts



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 .. rst-class:: sphx-glr-signature

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