Add all files with LFS support

analysis.py

@@ -1036,10 +1036,16 @@ def plot_seasonal_salinity_for_bays(
     basemap_provider=ctx.providers.USGS.USTopo,  # type: ignore
     alpha=0.5,
     shapefile_path="data/SAB/SAB.shp",
+    wbids=None,
 ):
     """
     Create seasonal plots of mean salinity values by WBID for N, E, W, SAB, GL and Lake Powell.
     """
+    if wbids is None:
+        wbids = gpd.read_file(shapefile_path)
+        if wbids.crs is None:
+            wbids.set_crs(epsg=6439, inplace=True)
+        wbids = wbids.to_crs(epsg=3857)
     fig = plot_seasonal_salinity(
         salinity_data.query(
             "WBID.isin(['1061A', '1061B', '1061C', '1061D', '1061E', '1061F', '1061G', '1061H', '1055A'])"

app.py

@@ -337,10 +337,13 @@ def generate_seasonal_plot(data, year, shapefile_path):
             # Assuming the input coordinates are in WGS84 (EPSG:4326)
             data.set_crs(epsg=4326, inplace=True)
 
-    # Ensure shapefile has CRS set
+    # Ensure shapefile has CRS set and transform to Web Mercator
     if wbids.crs is None:
         wbids.set_crs(epsg=6439, inplace=True)
 
+    # Pre-transform to Web Mercator (EPSG:3857) here to avoid issues in plotting function
+    wbids = wbids.to_crs(epsg=3857)
+
     st.write("Debug Info:")
     st.write(
         {
@@ -357,7 +360,9 @@ def generate_seasonal_plot(data, year, shapefile_path):
         }
     )
 
-    return plot_seasonal_salinity_for_bays(data, year, shapefile_path=shapefile_path)
+    return plot_seasonal_salinity_for_bays(
+        data, year, shapefile_path=shapefile_path, wbids=wbids
+    )
 
 
 # if ENABLE_TIMING: