Geoenrichment

• understand what information available, and how to retrieve it
• adding features to existing named areas, and to constructed areas
• understand data accuracy issues
• makes your analysis more powerful by adding demographic variables in a geographic context. Further, these variables can be accessed at multiple standard geographic resolutions based on the jurisdictional area.
• https://developers.arcgis.com/python/guide/part1-introduction-to-geoenrichment/

.enrich()

• helps get information about a specific area defined by administrative boundaries

Data Collections

• A data collection is a preassembled list of attributes that will be used to enrich the input features
• Collection attributes can describe various types of information, such as demographic characteristics and geographic context of the locations or areas submitted as input features.

Study AreaS

GeoEnrichment uses the concept of a study area to define the location of the point or area that you want to enrich with additional information, or create reports about.

Accepted forms of study areas

• Street address locations
  • Example: "380 New York St, Redlands, CA"
• Multiple field input addresses
  • Example: {"Address" : "380 New York Street", "City" : "Redlands", "Region" : "CA", "Postal" : 92373}
• Point and line geometries
  • arcgis.geometry.Geometry({"x":-122.435,"y":37.785})