FeatureCollection

class geodesic.stac.FeatureCollection(dataset=None, query=None, **obj)

A collection of Features that is represented by a GeoJSON FeatureCollection in accordance with RFC7946 (https://datatracker.ietf.org/doc/html/rfc7946)

Parameters:

• dataset (Dataset) – a geodesic.entanglement.Dataset associated with the FeatureCollection.

• query (dict) – a query, if any, used to initialize this from a request to Spacetime or Boson

• **obj – the underyling JSON data of the FeatureCollection to specify

Attributes

df	Return a Pandas DataFrame representation of this FeatureCollection
features	(list) - this FeatureCollection's Feature/Item objects
gdf	Return a geopandas.GeoDataFrame representation of this FeatureCollection
links	(dict) - links associated with this collection
sedf	Return an ArcGIS API for Python representation of this feature collection as a spatially enabled Pandas DataFrame
type	the type is always FeatureCollection.

Methods

clear()
copy()
from_file(path[, layer])	loads geospatial data using fiona and returns a new FeatureCollection
from_file_geodatabase(path, layer, **kwargs)	loads a layer from a file geodatabase and returns a new FeatureCollection
from_geojson_file(path)	loads a geojson file and returns a new FeatureCollection
from_gpx(path, layer, **kwargs)	loads a GPX file and returns a new FeatureCollection
from_shapefile(path)	loads a shapefile and returns a new FeatureCollection
fromkeys([value])	Create a new dictionary with keys from iterable and values set to value.
get(key[, default])	Return the value for key if key is in the dictionary, else default.
get_all()
items()
keys()
next_page()
pop(k[,d])	If key is not found, default is returned if given, otherwise KeyError is raised
popitem()	Remove and return a (key, value) pair as a 2-tuple.
setdefault(key[, default])	Insert key with a value of default if key is not in the dictionary.
update(*mapping, **kwargs)
values()