Quadtree region class - QuadtreeGrid2D (#115)

* QuadtreeGrid2D region added
* Added condition to read QuadtreeGrid forecast
* added spatial_count and spatio_mag_count functions
* poission_evaluations - routed from QuadtreeGrid2D
* modified requirements
* unit tests for quadtree-grid
* removed 'area' from requirements
* modified doc strings
* California quadtreegrid at L=12 added
* california quadtreegrid loading function
* Area function - Taken from Hanbao's code
* setup.py modified-added mercantile
* Area function name/docstring change
* Modified get_cell_area function for quick computation
* Improved func quadtree_grid_bounds
* Removed boundary checks from _find_location() to improve performance
* removed separate call for quadtree grid tests
* func name changes
* stylistic-changes relevant to compute_cell_area
* unit test for area
* changes
* deleted cell area function
* removed unnecessary comments from poisson_evaluations.py
* deleted useless comments
* Reader for Quadtree forecast format
* documentation for quadtree grid
* Cleaning docs
* Commenting quadtree import in readers, just checking...
* documentation refned
* clean quadtree_forecast_reader
* func name change - single_resoltion
* func area name change
* Documentation-Region.rst file
* Quadtree example for documentation
* Docs example - Combine both grids
* Constructor arguments explained
* get_xs_ys - Experiment for plotting
* forecast.plot() for Single-res Quadtree
* clean up unnecessary comments from code
* pin numpy version to <= 1.25.0

Co-authored-by: William Savran <wsavran@usc.edu>

csep/core/catalogs.py

@@ -794,6 +794,7 @@ def get_bvalue(self, mag_bins=None, return_error=True):
 
         if self.get_number_of_events() == 0:
             return None
+
         # this might fail if magnitudes are not aligned
         if mag_bins is None:
             try:
@@ -835,8 +836,8 @@ def plot(self, ax=None, show=False, extent=None, set_global=False, plot_args=Non
         Returns:
             axes: matplotlib.Axes.axes
         """
-        # no mutable function arguments
 
+        # no mutable function arguments
         plot_args_default = {
              'basemap': 'ESRI_terrain',
              'markersize': 2,
@@ -850,6 +851,7 @@ def plot(self, ax=None, show=False, extent=None, set_global=False, plot_args=Non
              'title': self.name,
              'mag_ticks': False
         }
+
         # Plot the region border (if it exists) by default
         try:
             # This will throw error if catalog does not have region

csep/core/poisson_evaluations.py

@@ -8,6 +8,7 @@
 from csep.models import EvaluationResult
 from csep.utils.stats import poisson_joint_log_likelihood_ndarray
 from csep.core.exceptions import CSEPCatalogException
+from csep.core.regions import QuadtreeGrid2D
 
 
 def paired_t_test(forecast, benchmark_forecast, observed_catalog, alpha=0.05, scale=False):
@@ -181,6 +182,7 @@ def conditional_likelihood_test(gridded_forecast, observed_catalog, num_simulati
         _ = observed_catalog.region.magnitudes
     except CSEPCatalogException:
         observed_catalog.region = gridded_forecast.region
+
     gridded_catalog_data = observed_catalog.spatial_magnitude_counts()
 
     # simply call likelihood test on catalog data and forecast
@@ -333,7 +335,6 @@ def spatial_test(gridded_forecast, observed_catalog, num_simulations=1000, seed=
         evaluation_result: csep.core.evaluations.EvaluationResult
     """
 
-    # grid catalog onto spatial grid
     gridded_catalog_data = observed_catalog.spatial_counts()
 
     # simply call likelihood test on catalog data and forecast
@@ -387,6 +388,7 @@ def likelihood_test(gridded_forecast, observed_catalog, num_simulations=1000, se
         _ = observed_catalog.region.magnitudes
     except CSEPCatalogException:
         observed_catalog.region = gridded_forecast.region
+
     gridded_catalog_data = observed_catalog.spatial_magnitude_counts()
 
     # simply call likelihood test on catalog and forecast