Creating GIS Mashup patterns using ArcGIS Server 9.3
The integration of multiple services into an application, a process known as a mashup, allows for a GIS application to bring together basemaps, operational data, and analytical services to create both simple and complex applications that provide information and solve common tasks.
| The community of the World Wide Web supported by ArcGIS Server technology has opened up a variety of methodologies and patterns for consuming, authoring, and serving geographic information. Through Web technologies such as REST and JavaScript, critical patterns of mashups for geographic applications emerge. |  |
The following mashup patterns are easily created using ArcGIS Server 9.3
- Ad Hoc
- Enterprise Integration
- Inter-Organizational
- Federated Basemaps
- Analytical Modeling
- Interoperable
The ad hoc mashup is a combination of basemaps and operational data to create simple applications, such as a public safety application where citizens can report a public nuisance by selecting the type of incident they witnessed and clicking on the map where the incident was observed.
An enterprise integration mashup is where many departments within an organisation contribute content to the mashup application. For example, a city basemap could be used by multiple departments across a local authority to display data about their specific projects and allow resident to review all city projects near their home, or other area of interest.
An inter-organizational mashup is a mashup created by combining basemaps and operational data from different organisations or agencies.
The federated basemap mashup pattern is employed by many different organisations that contribute content to the mashup application via map services.
An analytical modeling mashup chains together operational data and analytical services, allowing the output from one service to be used as the input for the next service. For example a chained mashup could be used to create an historical perspective of past flood events in a given area. The buildings and other assets that were affected by past floods can then be used for further analysis.
Finally, the pattern of interoperable mashups combines operational data and analytical services on top of commercial basemaps, such as Google Maps and Microsoft Virtual Earth.
