What types of analytics can be performed on data hosted in ArcGIS Enterprise?

The correct answer is B, as ArcGIS Enterprise provides robust capabilities for both spatial analysis and pattern analysis. Spatial analysis involves examining the locations, attributes, and relationships of features in spatial data. This can include tasks such as proximity analysis, overlay analysis, and network analysis, which allow users to make data-driven decisions based on geographic context.

Pattern analysis, on the other hand, focuses on identifying trends and patterns within the data. This can involve techniques like hotspot analysis, cluster analysis, or temporal analysis to uncover relationships in how geographic phenomena occur in space and time. Together, these analytic types enable users to derive meaningful insights from their spatial data, making ArcGIS Enterprise a powerful tool for geographic information system (GIS) professionals.

Other options present more limited analytical capabilities. For example, statistical analysis is a component of spatial analysis but does not encompass the full range of geospatial analysis performed by ArcGIS. Basic summation and averaging represent fundamental data operations that do not capitalize on the complex relationships within spatial data. Visual interpretation does not constitute analytics in the rigorous sense but rather relies on human perception and insight, lacking the quantitative depth that technical analytics provide.