wip

app.py

@@ -18,13 +18,10 @@ st.set_page_config(layout="wide",
 '''
 # LandVote Prototype
 
-An experimental platform for visualizing data on ballot measures for conservation, based on data from <https://landvote.org/> curated by the Trust for Public Land.
+An experimental platform for visualizing data on ballot measures for conservation, based on data from <https://landvote.org/> curated by the Trust for Public Land. 
 '''
 
-st.caption("We visualize each voting jurisdiction with green if a conservation measure passed and orange if it failed. The intensity of green or orange reflects the level of support or opposition, with darker green representing stronger support for passed measures and darker orange representing lower support for failed measures. Areas with more balanced outcomes appear in shades of grey. Additionally, the height of county and city jurisdictions represents the amount of funding proposed by the measure.")
-
-st.caption("Political affiliation is determined by the party that received the majority vote in the most recent presidential election for each jurisdiction. For counties and states, this reflects the majority vote in that area. For cities, affiliation is based on the party of the county in which the city is located.")
-
+st.caption("We visualize each voting jurisdiction with green if a conservation measure passed and orange if it failed. The intensity of green or orange reflects the level of support or opposition, with darker green representing stronger support for passed measures and darker orange representing lower support for failed measures. The height of county and city jurisdictions represents the amount of funding proposed by the measure.")
 
 
 
@@ -288,11 +285,12 @@ party_style =  {
 with st.sidebar:
     color_choice = st.radio("Color by:", ["Measure Status", "Political Party"])
     st.divider()
-    with st.expander("Social Justice"): 
+    
+    "Data Layers:"
+    # with st.expander("Social Justice"): 
 
-        social_toggle = st.toggle("Social Vulnerability Index")
-        justice_toggle = st.toggle("Justice 40")
-        
+    social_toggle = st.toggle("Social Vulnerability Index")
+    justice_toggle = st.toggle("Climate and Economic Justice")
     party_toggle = st.toggle("Political Parties")
 
     st.divider()
@@ -381,12 +379,16 @@ Authors: Cassie Buhler & Carl Boettiger, UC Berkeley License: BSD-2-clause
 
 - TPL LandVote Database by Trust for Public Land. Data: https://tpl.quickbase.com/db/bbqna2qct?a=dbpage&pageID=8. Citation: The Trust for Public Land, LandVote®, 2024, www.landvote.org., License: Public Domain
 
+- Climate and Economic Justice Screening Tool, US Council on Environmental Quality, Justice40, Data: https://beta.source.coop/repositories/cboettig/justice40/description/. License: Public Domain
+
+- CDC 2020 Social Vulnerability Index by US Census Track. Data: https://source.coop/repositories/cboettig/social-vulnerability/description. License: Public Domain
+
 - County Presidential Election Returns 2000-2020 by MIT Election Data and Science Lab. Citation: https://doi.org/10.7910/DVN/VOQCHQ. License: Public Domain.
 
 - U.S. President 1976–2020 by MIT Election Data and Science Lab. Citation: https://doi.org/10.7910/DVN/42MVDX. License: Public Domain.
 
-- Climate and Economic Justice Screening Tool, US Council on Environmental Quality, Justice40, Data: https://beta.source.coop/repositories/cboettig/justice40/description/. License: Public Domain
 
-- CDC 2020 Social Vulnerability Index by US Census Track. Data: https://source.coop/repositories/cboettig/social-vulnerability/description. License: Public Domain
 
 '''
+
+st.caption("***Political affiliation is determined by the party that received the majority vote in the most recent presidential election for each jurisdiction. For counties and states, this reflects the majority vote in that area. For cities, affiliation is based on the party of the county in which the city is located.")