gis: use vsigzip handle to read gzip files using rasterio

ref: https://gdal.org/user/virtual_file_systems.html#vsigzip-gzipped-file

gis/population/population/space.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import gzip
 import uuid
 
 import geopandas as gpd
@@ -35,13 +34,14 @@ def __init__(self, crs):
 
     def load_data(self, population_gzip_file, lake_zip_file, world_zip_file):
         world_size = gpd.GeoDataFrame.from_file(world_zip_file)
-        with gzip.open(population_gzip_file, "rb") as population_file:
-            raster_layer = RasterLayer.from_file(
-                population_file, cell_cls=UgandaCell, attr_name="population"
-            )
-            raster_layer.crs = world_size.crs
-            raster_layer.total_bounds = world_size.total_bounds
-            self.add_layer(raster_layer)
+        raster_layer = RasterLayer.from_file(
+            f"/vsigzip/{population_gzip_file}",
+            cell_cls=UgandaCell,
+            attr_name="population",
+        )
+        raster_layer.crs = world_size.crs
+        raster_layer.total_bounds = world_size.total_bounds
+        self.add_layer(raster_layer)
         self.lake = gpd.GeoDataFrame.from_file(lake_zip_file).geometry[0]
         self.add_agents(GeoAgent(uuid.uuid4().int, None, self.lake, self.crs))
 

gis/rainfall/rainfall/space.py

@@ -1,7 +1,5 @@
 from __future__ import annotations
 
-import gzip
-
 import mesa
 import mesa_geo as mg
 import numpy as np
@@ -33,11 +31,10 @@ def __init__(self, crs, water_height):
         self.outflow = 0
 
     def set_elevation_layer(self, elevation_gzip_file, crs):
-        with gzip.open(elevation_gzip_file, "rb") as elevation_file:
-            raster_layer = mg.RasterLayer.from_file(
-                elevation_file, cell_cls=LakeCell, attr_name="elevation"
-            )
-            raster_layer.crs = crs
+        raster_layer = mg.RasterLayer.from_file(
+            f"/vsigzip/{elevation_gzip_file}", cell_cls=LakeCell, attr_name="elevation"
+        )
+        raster_layer.crs = crs
         raster_layer.apply_raster(
             data=np.zeros(shape=(1, raster_layer.height, raster_layer.width)),
             attr_name="water_level",

gis/urban_growth/urban_growth/space.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import gzip
 import random
 
 import mesa
@@ -96,7 +95,7 @@ def load_datasets(
             "land_use": land_use_data,
         }
         for attribute_name, data_file in data.items():
-            with gzip.open(data_file, "rb") as f, rio.open(f, "r") as dataset:
+            with rio.open(f"/vsigzip/{data_file}", "r") as dataset:
                 values = dataset.read()
             self.raster_layer.apply_raster(values, attr_name=attribute_name)