chapter 5
- ArcGIS Enterprise provides a private or hybrid Web GIS alternative to ArcGIS Online for organizations needing secure environments, restricted internet use, or advanced services like custom geoprocessing. It includes Portal for ArcGIS, ArcGIS Server, ArcGIS Data Store, and ArcGIS Web Adaptor, which together support hosting, managing, and sharing GIS data, maps, and apps. Enterprise can run on local servers, virtual machines, major cloud platforms, or Kubernetes for scalable, containerized deployments and can be configured as single-machine, multitier, or highly available. Distributed collaboration lets multiple Web GIS systems securely share and synchronize content. The chapter also introduces caching and explains raster tiles, vector tiles, map image layers, and feature tiles, outlining when each should be used. Tutorials show how to connect ArcGIS Pro to portals, publish tile layers, and build comparison web apps. These skills apply broadly across both ArcGIS Online and ArcGIS Enterprise environments and workflows.
- A city emergency-management department could deploy ArcGIS Enterprise in its secure data center to host real-time hazard maps, cached basemaps, and custom geoprocessing tools that support disaster response without exposing sensitive infrastructure data to the public cloud.
Chapter 6
- Chapter six introduces spatiotemporal data—information about objects and events that move or change over time—categorized as moving, discrete, stationary, or change-based. Time can be stored as a single moment or a duration. The chapter highlights the Internet of Things (IoT), where sensor-enabled devices like cameras or appliances collect and exchange data, with geolocation adding essential spatial context. Smart cities and smart homes apply these concepts through connected sensors that help manage resources and automate tasks. It then explains real-time GIS technologies, noting that ArcGIS Velocity and ArcGIS GeoEvent Server can ingest diverse streaming sources, process high-volume sensor data, perform real-time and big-data analytics, and trigger alerts.
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A transportation agency could combine roadside IoT sensors, GPS data from buses, and traffic cameras to build a real-time congestion-monitoring system. Using ArcGIS Velocity or GeoEvent Server, the agency could process live vehicle speeds, detect incidents as discrete events, and automatically send alerts or update digital message signs to optimize traffic flow and improve commuter safety.