Part-1 Introduction to GeoEnrichment
GeoEnrichment makes any location data intelligent by providing facts about the location. In this part of the Geoenrichment guide series, you will see a high-level example of how arcgis.geoenrichment module can be used to enrich a dataset with various socio-demographic features, and also an introduction of the different ways in which data can be enriched.

Part-2 Where to Enrich: Study Areas
In this part of the arcgis.geoenrichment module guide series, you will be introduced to the concept of study areas and how Geoenrichment uses a study area to define the location of the point, polyline or area that you want to enrich. You will see in detail how different types of study areas can be enriched and visualized on a map.

Part-3 Where to Enrich: Named Statistical Areas
In this part of the arcgis.geoenrichment module guide series, we will several named statistical areas in a hierarchy of geography levels. We will see, in detail, how different geography levels can be queried so it can then be used for enrichment. You will be introduced to Country class and Country.get() method which can be used to discover sub-geographies, data collections and available reports for a country.

Part-4 Data Collections and Analysis Variables
In this part of the arcgis.geoenrichment module guide series, you will see how data_collections property of a Country object lists its available data_collections and analysis_variables. You will explore different data collections, their analysis variables and then enriched study areas using the same. Towards the end, you will experience how spatially enabled dataframes can be enriched.

Part-5 Generating Reports
In this part of the arcgis.geoenrichment module guide series, you will see how GeoEnrichment also enables you to create different types of high quality reports. You will explore the reports property of a Country object to list available reports. You will experience, in detail, how create_report method allows you to create rich reports for various study areas. Towards the end, you will see how these reports can be customized as well.

Part-6 Standard Geography Queries
In this final part of the arcgis.geoenrichment module guide series, you will see how the standard_geography_query method is used to query for standard geography areas which can then be used for enrichment, and customized to meet more complex search criteria when targeting at more specific results. You will see how Data Apportionment utilizes geographic retrieval methodology to aggregate data and how service_limits() can be used to generate a list of limits for different services.

Language: Python