def _query(self, geom):
if self._n_geoms == 0:
return []
result = []
def callback(item, userdata):
idx = ctypes.cast(item, ctypes.py_object).value
result.append(idx)
lgeos.GEOSSTRtree_query(self._tree, geom._geom,
lgeos.GEOSQueryCallback(callback), None)
return result
def query(self, geom):
"""Returns a list of objects on the index whose extents
intersect the given geometry's extents.
"""
if self._n_geoms == 0:
return []
result = []
def callback(item, userdata):
geom = ctypes.cast(item, ctypes.py_object).value
result.append(geom)
lgeos.GEOSSTRtree_query(self._tree_handle, geom._geom, lgeos.GEOSQueryCallback(callback), None)
return result
def get(self, geom):
"""
Get a list of identifiers of AtlasEntities whose bounds intersect the
bounds defined by the geom parameter.
"""
if self._n_geoms == 0:
return []
result = []
def callback(item, userdata):
identifier = ctypes.cast(item, ctypes.py_object).value
result.append(identifier)
_lgeos.GEOSSTRtree_query(self._tree_handle, geom._geom,
_lgeos.GEOSQueryCallback(callback), None)
return result
def query(self, geom):
"""
Search the index for geometry objects whose extents
intersect the extent of the given object.
Parameters
----------
geom : geometry object
The query geometry
Returns
-------
list of geometry objects
All the geometry objects in the index whose extents
intersect the extent of `geom`.
Note
----
A geometry object's "extent" is its the minimum xy bounding
rectangle.
Examples
--------
A buffer around a point can be used to control the extent
of the query.
>>> from shapely.strtree import STRtree
>>> from shapely.geometry import Point
>>> points = [Point(i, i) for i in range(10)]
>>> tree = STRtree(points)
>>> query_geom = Point(2,2).buffer(0.99)
>>> [o.wkt for o in tree.query(query_geom)]
['POINT (2 2)']
>>> query_geom = Point(2, 2).buffer(1.0)
>>> [o.wkt for o in tree.query(query_geom)]
['POINT (1 1)', 'POINT (2 2)', 'POINT (3 3)']
A subsequent search through the returned subset using the
desired binary predicate (eg. intersects, crosses, contains,
overlaps) may be necessary to further filter the results
according to their specific spatial relationships.
>>> [o.wkt for o in tree.query(query_geom) if o.intersects(query_geom)]
['POINT (2 2)']
To get the original indices of the returned objects, create an
auxiliary dictionary. But use the geometry *ids* as keys since
the shapely geometry objects themselves are not hashable.
>>> index_by_id = dict((id(pt), i) for i, pt in enumerate(points))
>>> [(index_by_id[id(pt)], pt.wkt) for pt in tree.query(Point(2,2).buffer(1.0))]
[(1, 'POINT (1 1)'), (2, 'POINT (2 2)'), (3, 'POINT (3 3)')]
"""
if self._n_geoms == 0:
return []
result = []
def callback(item, userdata):
geom = ctypes.cast(item, ctypes.py_object).value
result.append(geom)
lgeos.GEOSSTRtree_query(self._tree_handle, geom._geom, lgeos.GEOSQueryCallback(callback), None)
return result
