modify pages

Home.py

@@ -17,10 +17,10 @@ st.set_page_config(layout="wide")
 
 # Data source
 data_links = {
-    "Tokyo": "https://raw.githubusercontent.com/kunifujiwara/data/master/frac_veg/FRAC_VEG_Tokyo.geojson",
-    "Kanagawa": "https://raw.githubusercontent.com/kunifujiwara/data/master/frac_veg/FRAC_VEG_Kanagawa.geojson",
-    "Chiba": "https://raw.githubusercontent.com/kunifujiwara/data/master/frac_veg/FRAC_VEG_Chiba.geojson",
-    "Saitama": "https://raw.githubusercontent.com/kunifujiwara/data/master/frac_veg/FRAC_VEG_Saitama.geojson",
+    "東京都": "https://raw.githubusercontent.com/kunifujiwara/data/master/frac_veg/FRAC_VEG_Tokyo.geojson",
+    "神奈川県": "https://raw.githubusercontent.com/kunifujiwara/data/master/frac_veg/FRAC_VEG_Kanagawa.geojson",
+    "千葉県": "https://raw.githubusercontent.com/kunifujiwara/data/master/frac_veg/FRAC_VEG_Chiba.geojson",
+    "埼玉県": "https://raw.githubusercontent.com/kunifujiwara/data/master/frac_veg/FRAC_VEG_Saitama.geojson",
 }
 
 @st.cache_data
@@ -60,12 +60,12 @@ def calculate_zoom_level(bbox):
     return min(max(1, zoom), 20)  # Clamp zoom between 1 and 20
 
 def app():
-    st.title("Japan Vegetation Cover Fraction")
+    st.title("緑被率マップ")
     st.markdown(
         """**Introduction:** This interactive dashboard visualizes Japan Fractional Vegetation Cover at town block levels."""
     )
 
-    prefecture = st.selectbox("Prefecture", ["Tokyo", "Kanagawa", "Chiba", "Saitama"])
+    prefecture = st.selectbox("都道府県", ["東京都", "神奈川県", "千葉県", "埼玉県"])
     
     gdf = get_geom_data(prefecture)
 
@@ -75,7 +75,7 @@ def app():
 
     # City filter
     cities = sorted(gdf['CITY_NAME_x'].unique().tolist())
-    selected_cities = st.multiselect("Select cities to display", cities, default=[])
+    selected_cities = st.multiselect("市区町村", cities, default=[])
     
     # Filter GeoDataFrame based on selected cities
     if selected_cities:
@@ -84,22 +84,22 @@ def app():
         gdf_filtered = gdf
 
     attributes = get_data_columns(gdf_filtered)
-    selected_attribute = st.selectbox("Select attribute to visualize", attributes)
+    selected_attribute = st.selectbox("指標", attributes)
 
     col1, col2, col3, col4, col5, col6 = st.columns(6)
     with col1:
-        n_colors = st.slider("Number of colors", min_value=2, max_value=20, value=8)
+        n_colors = st.slider("カラースケールの分割数", min_value=2, max_value=20, value=8)
     with col2:
-        alpha = st.slider("Fill opacity", min_value=0.0, max_value=1.0, value=0.8, step=0.1)
+        alpha = st.slider("透過率", min_value=0.0, max_value=1.0, value=0.8, step=0.1)
     with col3:
-        vmin = st.number_input("Min value", value=float(gdf_filtered[selected_attribute].min()), step=0.1)
+        vmin = st.number_input("最大値", value=float(gdf_filtered[selected_attribute].min()), step=0.1)
     with col4:
-        vmax = st.number_input("Max value", value=float(gdf_filtered[selected_attribute].max()), step=0.1)
+        vmax = st.number_input("最小値", value=float(gdf_filtered[selected_attribute].max()), step=0.1)
     with col5:
-        show_3d = st.checkbox("Show 3D view", value=False)
+        show_3d = st.checkbox("3Dビュー", value=False)
     with col6:
         if show_3d:
-            elev_scale = st.slider("Elevation scale", min_value=1, max_value=10000, value=1, step=10)
+            elev_scale = st.slider("スケール", min_value=1, max_value=10000, value=1, step=10)
         else:
             elev_scale = 1