sids_from_geoseries

sids_from_geoseries(series, level, convex=False, force_ccw=True, n_partitions=1, num_workers=None)

Takes a GeoSeries and returns a corresponding series of sets of trixel indices

Parameters

series: geopandas.GeoSeries

A geopandas.GeoSeries containing features to look (sets of) STARE indices up for

level: int

STARE level

convex: bool

Toggle if STARE indices for the convex hull rather than the G-Ring should be looked up

force_ccw: bool

Toggle if a counterclockwise orientation of the geometries should be enforced

n_partitions: int

Number of workers used to lookup STARE indices in parallel

num_workers: int

number of workers

Returns

sids

A numpy array of length=len(gdf.index) holding the set of stare indices of each geometry

Examples

>>> import geopandas
>>> import starepandas
>>> world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
>>> germany = world[world.name=='Germany']
>>> starepandas.sids_from_geoseries(germany.geometry, level=3, convex=True)
121    [4251398048237748227, 4269412446747230211, 427...
Name: sids, dtype: object