如何使用plotly在地理空间地图上制作风抖动图？

import plotly.express as px
import pandas as pd
import geopandas as gpd

# 读取地理空间数据
gdf = gpd.read_file('path/to/geo_data.geojson')

# 读取风抖动数据
df = pd.read_csv('path/to/wind_data.csv')

# 根据需要筛选地理空间数据
gdf_filtered = gdf[gdf['region'] == 'Asia']

# 根据需要进行数据聚合
df_agg = df.groupby('country').mean().reset_index()

fig = px.scatter_geo(df_agg, locations='country', locationmode='country names', color='value',
                     hover_name='country', size='value', projection='natural earth')

fig.add_trace(px.choropleth_mapbox(gdf_filtered, geojson=gdf_filtered.geometry, locations=gdf_filtered.index,
                                   color='population', hover_name='name').data[0])

fig.update_layout(title='Wind Intensity by Country', coloraxis=dict(colorbar=dict(title='Intensity')),
                  legend=dict(title='Country'))

fig.show()