Slippy Map Regionalizer Example¶
Run this notebook in Google Colab:
Remember to install the srai library before running the notebook:
%pip install srai[all]
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import geopandas as gpd
from shapely import geometry
from srai.constants import WGS84_CRS
from srai.plotting.folium_wrapper import plot_regions
from srai.regionalizers import SlippyMapRegionalizer
import geopandas as gpd
from shapely import geometry
from srai.constants import WGS84_CRS
from srai.plotting.folium_wrapper import plot_regions
from srai.regionalizers import SlippyMapRegionalizer
Define starting polygons¶
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gdf = gpd.GeoDataFrame(
geometry=[
geometry.Polygon(
shell=[
(-1, 0),
(0, 0.5),
(1, 0),
(1, 1),
(0, 1),
],
holes=[
[
(0.8, 0.9),
(0.9, 0.55),
(0.8, 0.3),
(0.5, 0.4),
]
],
),
geometry.Polygon(shell=[(-0.25, 0), (0.25, 0), (0, 0.2)]),
],
crs=WGS84_CRS,
)
gdf.explore()
gdf = gpd.GeoDataFrame(
geometry=[
geometry.Polygon(
shell=[
(-1, 0),
(0, 0.5),
(1, 0),
(1, 1),
(0, 1),
],
holes=[
[
(0.8, 0.9),
(0.9, 0.55),
(0.8, 0.3),
(0.5, 0.4),
]
],
),
geometry.Polygon(shell=[(-0.25, 0), (0.25, 0), (0, 0.2)]),
],
crs=WGS84_CRS,
)
gdf.explore()
Out[2]:
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Define tile resolution¶
In [3]:
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zoom = 12
zoom = 12