Update example.rst

Author: ni1o1

docs/source/example/example.rst

@@ -326,102 +326,3 @@ light. Given coordinates and height of the point light:
 
 .. figure:: https://github.com/ni1o1/pybdshadow/raw/main/image/README/1649405838683.png
    :alt: 1649405838683.png
-
-
-Advertisment billboard analyze
-==============================
-
-Billboard visual area analyze
------------------------------
-
-To analyze billboard visual area, the parameter ``ad_params`` for the
-billboard should be defined. It has two forms:
-
-::
-
-    #ad_params for the billboard should be defined. It has two forms
-    #1. Given the coordinates of brandCenter, orientation and height
-    ad_params = {'orientation': 1.2806657381630058,
-                'height': 10,
-                'brandCenter': [139.71259, 35.552842999999996]} 
-    
-    #2. Given the coordinates of the two border points and height
-    ad_params = {'point1': [139.711861, 35.552040],
-                'point2': [139.713319, 35.553646],#1861,3646
-                'height': 50,
-                }
-
-We can calculate the visual area of the billboard using
-``ad_visualArea``.
-
-::
-
-    #calculate the visual area
-    visualArea,shadows = pybdshadow.ad_visualArea(ad_params,buildings)
-
-Then, visualize the billboard and the visual area.
-
-::
-
-    
-    
-    #Generate a GeoDataFrame from ad_params for visualization
-    billboard_gdf = pybdshadow.ad_to_gdf(ad_params,billboard_height = 100)
-    
-    #Visualize buildings, shadows, billboard and visual area
-    pybdshadow.show_bdshadow(buildings=buildings,
-                             shadows=shadows,
-                             ad=billboard_gdf,
-                             ad_visualArea=visualArea)
-
-
-.. figure:: https://github.com/ni1o1/pybdshadow/raw/main/image/README/1649406044109.png
-   :alt: 1649406044109.png
-
-
-Optimize billboard parameters
------------------------------
-
-Optimize advertisment parameters using Genetic Algorithm
-
-::
-
-    #Define area boundaries
-    bounds = [139.707846,35.543637,139.718567,35.553909]
-    
-    #Optimize billboard parameters
-    ad_params = pybdshadow.ad_optimize(bounds,
-                                       buildings,
-                                       height_range=[100,200],
-                                       printlog=True,
-                                       size_pop=10,
-                                       max_iter=10,
-                                       prob_mut=0.001,
-                                       precision=1e-7)
-    ad_params
-
-.. figure:: https://github.com/ni1o1/pybdshadow/blob/main/docs/source/example/output_ga.png?raw=true
-   :alt: output_ga.png
-
-::
-
-    {'orientation': 4.504880430224753,
-    'height': 109.41611234294162,
-    'brandCenter': [139.70883048898688, 35.550840354517774]}
-
-::
-
-    #calculate the visual area
-    visualArea,shadows = pybdshadow.ad_visualArea(ad_params,buildings)
-    
-    #Generate a GeoDataFrame from ad_params for visualization
-    billboard_gdf = pybdshadow.ad_to_gdf(ad_params,billboard_height = 100)
-    
-    #Visualize buildings, shadows, billboard and visual area
-    pybdshadow.show_bdshadow(buildings=buildings,
-                             shadows=shadows,
-                             ad=billboard_gdf,
-                             ad_visualArea=visualArea)
-
-.. figure:: https://github.com/ni1o1/pybdshadow/blob/main/image/README/QQ20220413-100625.png?raw=true
-   :alt: QQ20220413-100625.png