add more geogs

app.py

@@ -42,6 +42,158 @@ population_2020_data = {
 # Create a DataFrame for the top 15 counties
 df_population_2020 = pd.DataFrame(population_2020_data)
 
+# Function to create a Folium map with county boundaries and markers
+def create_map(county_filter="All", business_filter="All"):
+    m = folium.Map(location=[35.8601, -86.6602], zoom_start=8)
+
+    # Filter based on business name
+    filtered_df = df_md_final1
+    if business_filter != "All":
+        filtered_df = filtered_df[df_md_final1['business_type'] == business_filter]
+
+    folium.GeoJson(counties_geo).add_to(m)
+
+    # Define marker colors based on business type
+    def get_marker_color(business_type):
+        colors = {
+            "Autozone": "lightblue",
+            "Napa Auto Parts": "lightgreen",
+            "O'Reilly Auto Parts": "orange",
+            "Advance Auto Parts": "yellow",
+            "Car Dealership": "red",
+            "Other Auto Repair Shop": "purple"
+        }
+        return colors.get(business_type, "blue")
+
+    for _, row in filtered_df.iterrows():
+        folium.Marker(
+            location=[row['md_y'], row['md_x']],
+            popup=row['name'],
+            icon=folium.Icon(color=get_marker_color(row['business_type']))
+        ).add_to(m)
+
+    # Add the legend to the map
+    legend_html = '''
+     <div style="position: fixed; 
+                 bottom: 50px; left: 50px; width: 300px; height: 210px; 
+                 background-color: white; z-index:9999; font-size:14px;
+                 border:2px solid grey;
+                 padding: 10px;">
+     <b>Business Type</b><br>
+     <i class="fa fa-map-marker fa-2x" style="color:lightblue"></i>&nbsp;Autozone<br>
+     <i class="fa fa-map-marker fa-2x" style="color:lightgreen"></i>&nbsp;Napa Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:orange"></i>&nbsp;O'Reilly Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:yellow"></i>&nbsp;Advance Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:red"></i>&nbsp;Car Dealership<br>
+     <i class="fa fa-map-marker fa-2x" style="color:purple"></i>&nbsp;Other Auto Repair Shop<br>
+     </div>
+     '''
+    m.get_root().html.add_child(Element(legend_html))
+
+    return m._repr_html_()
+
+# Function to create a Folium map with HSA boundaries and markers
+def create_hsa_map(business_filter="All"):
+    m = folium.Map(location=[35.8601, -86.6602], zoom_start=8)
+
+    # Add HSA boundaries
+    folium.GeoJson(hsa_geo).add_to(m)
+
+    # Filter businesses by selected type
+    filtered_df = df_md_final1
+    if business_filter != "All":
+        filtered_df = df_md_final1[df_md_final1['business_type'] == business_filter]
+
+    # Define marker colors based on business type
+    def get_marker_color(business_type):
+        colors = {
+            "Autozone": "lightblue",
+            "Napa Auto Parts": "lightgreen",
+            "O'Reilly Auto Parts": "orange",
+            "Advance Auto Parts": "yellow",
+            "Car Dealership": "red",
+            "Other Auto Repair Shop": "purple"
+        }
+        return colors.get(business_type, "blue")
+
+    for _, row in filtered_df.iterrows():
+        folium.Marker(
+            location=[row['md_y'], row['md_x']],
+            popup=row['name'],
+            icon=folium.Icon(color=get_marker_color(row['business_type']))
+        ).add_to(m)
+
+    # Add the legend to the map
+    legend_html = '''
+     <div style="position: fixed; 
+                 bottom: 50px; left: 50px; width: 300px; height: 210px; 
+                 background-color: white; z-index:9999; font-size:14px;
+                 border:2px solid grey;
+                 padding: 10px;">
+     <b>Business Type</b><br>
+     <i class="fa fa-map-marker fa-2x" style="color:lightblue"></i>&nbsp;Autozone<br>
+     <i class="fa fa-map-marker fa-2x" style="color:lightgreen"></i>&nbsp;Napa Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:orange"></i>&nbsp;O'Reilly Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:yellow"></i>&nbsp;Advance Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:red"></i>&nbsp;Car Dealership<br>
+     <i class="fa fa-map-marker fa-2x" style="color:purple"></i>&nbsp;Other Auto Repair Shop<br>
+     </div>
+     '''
+    m.get_root().html.add_child(Element(legend_html))
+
+    return m._repr_html_()
+
+# Function to create a Folium map with HRR boundaries and markers
+def create_hrr_map(business_filter="All"):
+    m = folium.Map(location=[35.8601, -86.6602], zoom_start=8)
+
+    # Add HRR boundaries
+    folium.GeoJson(hrr_geo).add_to(m)
+
+    # Filter businesses by selected type
+    filtered_df = df_md_final1
+    if business_filter != "All":
+        filtered_df = df_md_final1[df_md_final1['business_type'] == business_filter]
+
+    # Define marker colors based on business type
+    def get_marker_color(business_type):
+        colors = {
+            "Autozone": "lightblue",
+            "Napa Auto Parts": "lightgreen",
+            "O'Reilly Auto Parts": "orange",
+            "Advance Auto Parts": "yellow",
+            "Car Dealership": "red",
+            "Other Auto Repair Shop": "purple"
+        }
+        return colors.get(business_type, "blue")
+
+    for _, row in filtered_df.iterrows():
+        folium.Marker(
+            location=[row['md_y'], row['md_x']],
+            popup=row['name'],
+            icon=folium.Icon(color=get_marker_color(row['business_type']))
+        ).add_to(m)
+
+    # Add the legend to the map
+    legend_html = '''
+     <div style="position: fixed; 
+                 bottom: 50px; left: 50px; width: 300px; height: 210px; 
+                 background-color: white; z-index:9999; font-size:14px;
+                 border:2px solid grey;
+                 padding: 10px;">
+     <b>Business Type</b><br>
+     <i class="fa fa-map-marker fa-2x" style="color:lightblue"></i>&nbsp;Autozone<br>
+     <i class="fa fa-map-marker fa-2x" style="color:lightgreen"></i>&nbsp;Napa Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:orange"></i>&nbsp;O'Reilly Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:yellow"></i>&nbsp;Advance Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:red"></i>&nbsp;Car Dealership<br>
+     <i class="fa fa-map-marker fa-2x" style="color:purple"></i>&nbsp;Other Auto Repair Shop<br>
+     </div>
+     '''
+    m.get_root().html.add_child(Element(legend_html))
+
+    return m._repr_html_()
+
 # Function to create the bar plot for 2020 Tennessee population (top 15 counties)
 def plot_2020_population_top15():
     fig = px.bar(df_population_2020, 
@@ -71,6 +223,18 @@ cbg_geographic_data = pd.read_csv("data/cbg_geographic_data.csv")
 counties_geo = gpd.read_file("data/county/01_county-shape-file.shp")
 counties_geo = counties_geo[counties_geo['statefp'] == '47']  # Filter for Tennessee
 
+# Load the ZCTA shapefile
+zcta_geo = gpd.read_file("data/tl_2020_us_zcta520/tl_2020_us_zcta520.shp")
+zcta_geo = zcta_geo[zcta_geo['ZCTA5CE20'].str.startswith('37')]  # Filter for Tennessee
+
+# Load the HSA shapefile
+hsa_geo = gpd.read_file("data/hsa/01_hsa-shape-file.shp")
+hsa_geo = hsa_geo[hsa_geo['hsastate'] == 'TN']
+
+# Load the HRR shapefile
+hrr_geo = gpd.read_file("data/hrr/01_hrr-shape-file.shp")
+hrr_geo = hrr_geo[hrr_geo['hrrstate'] == 'TN']
+
 # Define business types
 df_md_final1['business_type'] = np.where(df_md_final1['name'].str.contains("Autozone", case=False, na=False), "Autozone", 
                         np.where(df_md_final1['name'].str.contains("Napa Auto Parts", case=False, na=False), "Napa Auto Parts", 
@@ -80,16 +244,101 @@ df_md_final1['business_type'] = np.where(df_md_final1['name'].str.contains("Auto
                                                             "Car Dealership", 
                                                             "Other Auto Repair Shop")))))
 
-# Function to create a Folium map with county boundaries and markers
-def create_map(county_filter="All", business_filter="All"):
+# Function to create a Folium map with ZCTA boundaries and auto business markers
+def create_zcta_map(business_filter="All"):
     m = folium.Map(location=[35.8601, -86.6602], zoom_start=8)
 
-    # Filter based on business name
+    # Add ZCTA boundaries
+    folium.GeoJson(zcta_geo).add_to(m)
+
+    # Filter businesses by selected type
     filtered_df = df_md_final1
     if business_filter != "All":
-        filtered_df = filtered_df[filtered_df['business_type'] == business_filter]
+        filtered_df = df_md_final1[df_md_final1['business_type'] == business_filter]
 
-    folium.GeoJson(counties_geo).add_to(m)
+    # Define marker colors based on business type
+    def get_marker_color(business_type):
+        colors = {
+            "Autozone": "lightblue",
+            "Napa Auto Parts": "lightgreen",
+            "O'Reilly Auto Parts": "orange",
+            "Advance Auto Parts": "yellow",
+            "Car Dealership": "red",
+            "Other Auto Repair Shop": "purple"
+        }
+        return colors.get(business_type, "blue")
+
+    for _, row in filtered_df.iterrows():
+        folium.Marker(
+            location=[row['md_y'], row['md_x']],
+            popup=row['name'],
+            icon=folium.Icon(color=get_marker_color(row['business_type']))
+        ).add_to(m)
+
+    return m._repr_html_()
+
+# Function to create a Folium map with HSA boundaries and auto business markers
+def create_hsa_map_filtered(business_filter="All"):
+    m = folium.Map(location=[35.8601, -86.6602], zoom_start=8)
+
+    # Add HSA boundaries
+    folium.GeoJson(hsa_geo).add_to(m)
+
+    # Filter businesses by selected type
+    filtered_df = df_md_final1
+    if business_filter != "All":
+        filtered_df = df_md_final1[df_md_final1['business_type'] == business_filter]
+
+    # Define marker colors based on business type
+    def get_marker_color(business_type):
+        colors = {
+            "Autozone": "lightblue",
+            "Napa Auto Parts": "lightgreen",
+            "O'Reilly Auto Parts": "orange",
+            "Advance Auto Parts": "yellow",
+            "Car Dealership": "red",
+            "Other Auto Repair Shop": "purple"
+        }
+        return colors.get(business_type, "blue")
+
+    for _, row in filtered_df.iterrows():
+        folium.Marker(
+            location=[row['md_y'], row['md_x']],
+            popup=row['name'],
+            icon=folium.Icon(color=get_marker_color(row['business_type']))
+        ).add_to(m)
+
+    # Add the legend to the map
+    legend_html = '''
+     <div style="position: fixed; 
+                 bottom: 50px; left: 50px; width: 300px; height: 210px; 
+                 background-color: white; z-index:9999; font-size:14px;
+                 border:2px solid grey;
+                 padding: 10px;">
+     <b>Business Type</b><br>
+     <i class="fa fa-map-marker fa-2x" style="color:lightblue"></i>&nbsp;Autozone<br>
+     <i class="fa fa-map-marker fa-2x" style="color:lightgreen"></i>&nbsp;Napa Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:orange"></i>&nbsp;O'Reilly Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:yellow"></i>&nbsp;Advance Auto Parts<br>
+     <i class="fa fa-map-marker fa-2x" style="color:red"></i>&nbsp;Car Dealership<br>
+     <i class="fa fa-map-marker fa-2x" style="color:purple"></i>&nbsp;Other Auto Repair Shop<br>
+     </div>
+     '''
+    m.get_root().html.add_child(Element(legend_html))
+
+    return m._repr_html_()
+
+# Function to create a Folium map with HRR boundaries and auto business markers
+def create_hrr_map_filtered(business_filter="All"):
+    m = folium.Map(location=[35.8601, -86.6602], zoom_start=8)
+
+    # Add HRR boundaries
+    folium.GeoJson(hrr_geo).add_to(m)
+
+    # Filter businesses by selected type
+    filtered_df = df_md_final1
+    if business_filter != "All":
+        filtered_df = df_md_final1[df_md_final1['business_type'] == business_filter]
 
     # Define marker colors based on business type
     def get_marker_color(business_type):
@@ -144,36 +393,36 @@ with gr.Blocks() as app:
             datatype=["str", "str", "str", "str", "str"],
             value=[
                 ["AutoZone", "257 Wears Valley Rd", "Pigeon Forge", "Tennessee", "37863"],
-                ["Sterling Auto", "2064 Wilma Rudolph Blvd", "Clarksville", "Tennessee", "37040"], ["AutoZone", "257 Wears Valley Rd", "Pigeon Forge", "Tennessee", "37863"],
-                    ["Sterling Auto", "2064 Wilma Rudolph Blvd", "Clarksville", "Tennessee", "37040"],
-                    ["Advance Auto Parts", "2124 N Highland Ave", "Jackson", "Tennessee", "38305"],
-                    ["FRIENDSHIP HYUNDAI OF BRISTOL", "1841 Volunteer Pkwy", "Bristol", "Tennessee", "37620"],
-                    ["Advance Auto Parts", "45 Main St", "Savannah", "Tennessee", "38372"],
-                    ["O'Reilly Auto Parts", "493 Craighead St", "Nashville", "Tennessee", "37204"],
-                    ["O'Reilly Auto Parts", "864 Highway 51 N", "Covington", "Tennessee", "38019"],
-                    ["NAPA Auto Parts", "711 Murfreesboro Pike", "Nashville", "Tennessee", "37210"],
-                    ["Goodyear Auto Service Centers", "5407 Highway 153", "Hixson", "Tennessee", "37343"],
-                    ["NAPA Auto Parts", "100 Center St", "Johnson City", "Tennessee", "37615"],
-                    # Adding new entries
-                    ["Cadillac,Buick,Chevrolet,GMC", "960 John R Rice Blvd", "Murfreesboro", "Tennessee", "37129"],
-                    ["AutoZone", "9760 Highway 64", "Lakeland", "Tennessee", "38002"],
-                    ["Honda", "1408 Highway 45 Byp", "Jackson", "Tennessee", "38305"],
-                    ["National Tire & Battery (NTB)", "532 Robert Rose Dr", "Murfreesboro", "Tennessee", "37129"],
-                    ["NAPA Auto Parts", "711 Murfreesboro Pike", "Nashville", "Tennessee", "37210"],
-                    ["Advance Auto Parts", "160 W Broadway", "Gallatin", "Tennessee", "37066"],
-                    ["Southern Tire Mart (STM)", "1551 S Wilcox Dr", "Kingsport", "Tennessee", "37660"],
-                    ["Chevrolet", "310 E 20th St", "Chattanooga", "Tennessee", "37408"],
-                    ["O'Reilly Auto Parts", "7534 Oak Ridge Hwy", "Knoxville", "Tennessee", "37931"],
-                    ["Goodyear Auto Service Centers", "971 Eastgate Loop", "Chattanooga", "Tennessee", "37411"],
-                    ["Firestone Complete Auto Care", "15127 Old Hickory Blvd", "Nashville", "Tennessee", "37211"],
-                    ["Christian Brothers Automotive", "10406 Kingston Pike", "Knoxville", "Tennessee", "37922"],
-                    ["Christian Brothers Automotive", "563 E Main St", "Hendersonville", "Tennessee", "37075"],
-                    ["O'Reilly Auto Parts", "101 Village Square Ln", "Mountain City", "Tennessee", "37683"],
-                    ["O'Reilly Auto Parts", "4219 Fort Henry Dr Ste A", "Kingsport", "Tennessee", "37663"],
-                    ["Precision Tune Auto Care", "4710 N Broadway St", "Knoxville", "Tennessee", "37918"],
-                    ["National Tire & Battery (NTB)", "234 Old Hickory Blvd", "Nashville", "Tennessee", "37221"]
-                ],  # Data values
-                row_count=27  # Adjusted total number of rows
+                ["Sterling Auto", "2064 Wilma Rudolph Blvd", "Clarksville", "Tennessee", "37040"],
+                ["AutoZone", "257 Wears Valley Rd", "Pigeon Forge", "Tennessee", "37863"],
+                ["Sterling Auto", "2064 Wilma Rudolph Blvd", "Clarksville", "Tennessee", "37040"],
+                ["Advance Auto Parts", "2124 N Highland Ave", "Jackson", "Tennessee", "38305"],
+                ["FRIENDSHIP HYUNDAI OF BRISTOL", "1841 Volunteer Pkwy", "Bristol", "Tennessee", "37620"],
+                ["Advance Auto Parts", "45 Main St", "Savannah", "Tennessee", "38372"],
+                ["O'Reilly Auto Parts", "493 Craighead St", "Nashville", "Tennessee", "37204"],
+                ["O'Reilly Auto Parts", "864 Highway 51 N", "Covington", "Tennessee", "38019"],
+                ["NAPA Auto Parts", "711 Murfreesboro Pike", "Nashville", "Tennessee", "37210"],
+                ["Goodyear Auto Service Centers", "5407 Highway 153", "Hixson", "Tennessee", "37343"],
+                ["NAPA Auto Parts", "100 Center St", "Johnson City", "Tennessee", "37615"],
+                ["Cadillac,Buick,Chevrolet,GMC", "960 John R Rice Blvd", "Murfreesboro", "Tennessee", "37129"],
+                ["AutoZone", "9760 Highway 64", "Lakeland", "Tennessee", "38002"],
+                ["Honda", "1408 Highway 45 Byp", "Jackson", "Tennessee", "38305"],
+                ["National Tire & Battery (NTB)", "532 Robert Rose Dr", "Murfreesboro", "Tennessee", "37129"],
+                ["NAPA Auto Parts", "711 Murfreesboro Pike", "Nashville", "Tennessee", "37210"],
+                ["Advance Auto Parts", "160 W Broadway", "Gallatin", "Tennessee", "37066"],
+                ["Southern Tire Mart (STM)", "1551 S Wilcox Dr", "Kingsport", "Tennessee", "37660"],
+                ["Chevrolet", "310 E 20th St", "Chattanooga", "Tennessee", "37408"],
+                ["O'Reilly Auto Parts", "7534 Oak Ridge Hwy", "Knoxville", "Tennessee", "37931"],
+                ["Goodyear Auto Service Centers", "971 Eastgate Loop", "Chattanooga", "Tennessee", "37411"],
+                ["Firestone Complete Auto Care", "15127 Old Hickory Blvd", "Nashville", "Tennessee", "37211"],
+                ["Christian Brothers Automotive", "10406 Kingston Pike", "Knoxville", "Tennessee", "37922"],
+                ["Christian Brothers Automotive", "563 E Main St", "Hendersonville", "Tennessee", "37075"],
+                ["O'Reilly Auto Parts", "101 Village Square Ln", "Mountain City", "Tennessee", "37683"],
+                ["O'Reilly Auto Parts", "4219 Fort Henry Dr Ste A", "Kingsport", "Tennessee", "37663"],
+                ["Precision Tune Auto Care", "4710 N Broadway St", "Knoxville", "Tennessee", "37918"],
+                ["National Tire & Battery (NTB)", "234 Old Hickory Blvd", "Nashville", "Tennessee", "37221"]
+            ],  # Data values
+            row_count=27  # Adjusted total number of rows
         )
 
         gr.Markdown("Source: Yellowbook")
@@ -182,11 +431,26 @@ with gr.Blocks() as app:
     with gr.Tab("Auto repair shops in TN Counties"):
         business_options = ["All"] + list(df_md_final1['business_type'].unique())
         business_filter = gr.Dropdown(label="Select Business Type", choices=business_options, value="All")
-        map_output = gr.HTML(lambda business_filter: create_map(business_filter=business_filter), inputs=[business_filter])
+        map_output_counties = gr.HTML(lambda business_filter: create_map(business_filter=business_filter), inputs=[business_filter])
 
     with gr.Tab("Auto Repair Shops in TN Zip Codes"):
         zip_options = ["All"] + list(df_md_final1['zip_code'].unique())
         zip_filter = gr.Dropdown(label="Select Zip Code", choices=zip_options, value="All")
         map_output_zip = gr.HTML(lambda zip_filter: create_map(business_filter="All", county_filter=zip_filter), inputs=[zip_filter])
 
-app.launch(server_name="0.0.0.0", server_port=7860)
+    with gr.Tab("ZCTA Map with Auto Businesses"):
+        business_options_zcta = ["All"] + list(df_md_final1['business_type'].unique())
+        business_filter_zcta = gr.Dropdown(label="Select Business Type", choices=business_options_zcta, value="All")
+        zcta_map_output = gr.HTML(lambda business_filter_zcta: create_zcta_map(business_filter=business_filter_zcta), inputs=[business_filter_zcta])
+
+    with gr.Tab("HSA Map with Auto Businesses"):
+        business_options_hsa = ["All"] + list(df_md_final1['business_type'].unique())
+        business_filter_hsa = gr.Dropdown(label="Select Business Type", choices=business_options_hsa, value="All")
+        hsa_map_output = gr.HTML(lambda business_filter_hsa: create_hsa_map_filtered(business_filter=business_filter_hsa), inputs=[business_filter_hsa])
+
+    with gr.Tab("HRR Map with Auto Businesses"):
+        business_options_hrr = ["All"] + list(df_md_final1['business_type'].unique())
+        business_filter_hrr = gr.Dropdown(label="Select Business Type", choices=business_options_hrr, value="All")
+        hrr_map_output = gr.HTML(lambda business_filter_hrr: create_hrr_map_filtered(business_filter=business_filter_hrr), inputs=[business_filter_hrr])
+
+    app.launch(server_name="0.0.0.0", server_port=7860)