starepandas.tools.spatial_conversions#

compress_sids(sids)

Dissolve STARE index values.

make_circular_sids(df, level, diameter[, ...])

Create Circular sids cover

series_intersects(series, other[, method, ...])

Returns a bool series of length len(series).

sid_from_point(point, level)

Takes a shapely Point, Polygon, or Multipolygon and returns the according SID

sids_from_gdf(gdf, level[, convex, ...])

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

sids_from_geoseries(series, level[, convex, ...])

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

sids_from_multipolygon(multipolygon, level)

Lookup STARE index values for a multipolygon.

sids_from_polygon(polygon, level[, convex, ...])

Lookup STARE index values for a polygon.

sids_from_ring(ring, level[, convex, force_ccw])

Return a range of indices covering the region inside/outside ring.

sids_from_shapely(geom, level[, convex, ...])

Wrapper for starepandas.from_point(), starepandas.from_ring(), starepandas.from_polygon(), starepandas.from_multipolygon()

sids_from_xy(lon, lat, level)

Takes a list/array of lon and lat and returns a (set of) STARE index/ices

sids_from_xy_df(df, level[, n_partitions, ...])

Takes a dataframe and generates an array of STARE index values.

speedy_subset(df, right_sids)

Speedy intersects is meant to subset large (long) STAREDataFrame to a subset that intersects the roi.