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S2Regionalizer

srai.regionalizers.S2Regionalizer(resolution, buffer=True)

Bases: Regionalizer

S2 Regionalizer.

S2 Regionalizer gives an opportunity to divide the given geometries into square S2 cells.

PARAMETER DESCRIPTION
resolution

Resolution of the cells (S2 supports 0-30). See [1] for a full comparison.

TYPE: int

buffer

If True then fully cover geometries with S2 cells. Otherwise only use those cells that fully fit into them. Defaults to True.

TYPE: bool DEFAULT: True

RAISES DESCRIPTION
ValueError

If resolution is not between 0 and 30.
References
  1. https://s2geometry.io/resources/s2cell_statistics.html
Source code in srai/regionalizers/s2_regionalizer.py 
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def __init__(self, resolution: int, buffer: bool = True) -> None:
    """
    Init S2 Regionalizer.

    Args:
        resolution (int): Resolution of the cells (S2 supports 0-30). See [1] for
            a full comparison.
        buffer (bool, optional): If True then fully cover geometries with S2 cells.
            Otherwise only use those cells that fully fit into them. Defaults to True.

    Raises:
        ValueError: If resolution is not between 0 and 30.

    References:
        1. https://s2geometry.io/resources/s2cell_statistics.html
    """
    if not (0 <= resolution <= 30):
        raise ValueError(f"Resolution {resolution} is not between 0 and 30.")

    self.resolution = resolution
    self.buffer = buffer


transform(gdf)

Regionalize a given GeoDataFrame.

PARAMETER DESCRIPTION
gdf

GeoDataFrame to be regionalized.

TYPE: gpd.GeoDataFrame

RETURNS DESCRIPTION
gpd.GeoDataFrame

gpd.GeoDataFrame: GeoDataFrame with regionalized geometries.
Source code in srai/regionalizers/s2_regionalizer.py 
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def transform(self, gdf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
    """
    Regionalize a given GeoDataFrame.

    Args:
        gdf (gpd.GeoDataFrame): GeoDataFrame to be regionalized.

    Returns:
        gpd.GeoDataFrame: GeoDataFrame with regionalized geometries.
    """
    gdf_wgs84 = gdf.to_crs(crs=WGS84_CRS)

    s2_gdf = self._fill_with_s2_cells(self._explode_multipolygons(gdf_wgs84))

    # s2 library fills also holes in Polygons, so here we remove redundant cells
    res: gpd.GeoDataFrame = gpd.sjoin(
        s2_gdf,
        gdf_wgs84,
        how="inner",
        predicate="intersects" if self.buffer else "within",
    ).drop(columns=["index_right"])

    res = res[~res.index.duplicated(keep="first")]

    res.index.name = REGIONS_INDEX

    return res