Altair choropleth map selection interval and bidirectional linking

I want to make a bidirectional plot where the selected values through brush in the scatter plot appear in a different opacity in the choropleth map, and the selected countries in the choropleth appear in a different color in the scatter plot. It appears that the geoshape does not accept brushing, so I tried to overlay a "hidden" dots map but it also does not work. Any help is greatly appreciated. Thank you!

selection = alt.selection_point(fields=['income_group'], bind='legend') brush = alt.selection_interval() # code the choropleth map choro_map = alt.Chart(countries).mark_geoshape(stroke='black', strokeWidth=0.2).transform_lookup( lookup="properties.name", from_=alt.LookupData( final_country, key="country", fields=[ "log_billionaires_100_million", "number_billionaires", "billionaires_per_100_million", "income_group", "country" ]) ).transform_filter(brush).encode( color=alt.condition( selection & (alt.datum.log_billionaires_100_million > 0), alt.Color( "log_billionaires_100_million:Q", scale=alt.Scale(scheme="tealblues", domain=[0.9, 8]), title=["Log Number of", "Billionaires", "Per 100 Million"], legend=alt.Legend(offset=0)), alt.value("lightgray")), opacity=alt.condition( brush, alt.value(1), alt.value(0.3) )).project("mercator").add_params(selection, brush) dots_country = alt.Chart(final_country).mark_circle(opacity=0).encode( longitude= 'longitude_country:Q', latitude= 'latitude_country:Q', size = alt.when(brush).then(alt.value(1)).otherwise(alt.value(5)) ).properties(width = 500, height = 250).add_params(brush) scatter_plot = alt.Chart(final_country).transform_filter("datum.income_group != null").mark_circle(size=50).encode( alt.X("total_tax_rate_country:Q", title="Total Tax Rate (%)"), alt.Y("tax_revenue_country_country:Q", title="Tax Revenue (%)"), alt.Size("billionaires_per_100_million:Q", title="Billionaires per 100M"), color = alt.condition(brush, alt.Color( "income_group:N", title="Income Group", scale=alt.Scale(scheme="set2")), alt.value("lightgray")), opacity=alt.when(selection).then(alt.value(1)).otherwise(alt.value(0.2)), ).add_params(selection, brush) alt.vconcat((choro_map+dots_country), scatter_plot, center = True)