Summarizing Data in SEDF

arcgis.calculate_density()

arcgis.features.analysis.summarize_within()

arcgis.features.analysis.summarize_nearby()

create_buffers()

Joining Data in SEDF

# let's explore the current coordinate systems:
print(eq_sdf.spatial.bbox)
print(states_sdf.spatial.bbox)

# It is typically better to reproject the feature layer, because this is done server-side.
# We are doing that via a FeatureSet - because a spatial reference system is defined for featuresets 

states_fs = states_fl.query(out_sr=4326)  # reprojects the featureset, using layer.query()
states_sdf4326 = states_fs.sdf            # creates a SEDF from featureset, using featureset.sdf

# Let's see what we got - navigate to the SHAPE column and compare:
states_sdf4326.head()

# Now, we can try spatial join again:
sdf_joined = eq_sdf.spatial.join(states_sdf4326)
sdf_joined.head()

# notice that we have columns from both tables in the sdf_joined.

Visualizing Data in SEDF

Renderers

Arcade expression language

• Arcade is an expression language that can be used across the ArcGIS Platform. Whether writing simple scripts to control how features are rendered, or expressions to control label text, Arcade provides a simple scripting syntax to deliver these capabilities.

See the JavaScript guide and examples in ArcGIS Python API

Geoencoding

Geocoding is the process of transforming various place name descriptions into a location on the earth's surface.

• Geocoding several addresses in one line of code, returned lat/lon - is often insuffient: We don't know how accurate the coordinate assignment was unless we dig deeper. Metadata accompanying geocoding results depends on the specific geocoder we use.
• Different results from different geocoders.