
Platform Requirements
Radius Studio 2.1 is supported with the following platform combinations:
Oracle Application Server 10.1.3.4, Sun Java 1.6 Update 4
Operating System |
Oracle Database Server |
10g EE |
10g SE |
10g XE |
11g EE |
11g SE |
Windows Server 2003 |
Yes |
Yes |
Yes |
Yes |
Yes |
Redhat Linux 5 (64 bit) |
Yes |
Yes |
Yes |
Yes |
Yes |
JBoss 5.0.1 GA, Sun Java 1.6 Update 4
Operating System |
Oracle Database Server |
10g EE |
10g SE |
10g XE |
11g EE |
11g SE |
Windows Server 2003 |
Yes |
Yes |
Yes |
Yes |
Yes |
SuSE Linux 10.2 (64 bit) |
Yes |
Yes |
Yes |
Yes |
Yes |
Redhat Linux 5 (64 bit) |
No |
No |
No |
Yes |
Yes |
Packages and Components
Base Package
The base package consists of the following components:
- Data Source Specification. This enables the user to define Oracle and/or FDO-based data stores to be used within Radius Studio. The data within these data stores can then be accessed to test conformance of features against a set of rules or to re-engineer using the Fix-Up and Reporting component.
- Rule Builder. A rule in Radius Studio is a structured tree of hierarchical conditions, against which features can be tested. Rules can be authored using an intuitive user interface and are expressed in a form independent of the schema of any particular data store. This means they can easily be re-used with different schema and data sources. Rules authored in Radius Studio are stored as enterprise metadata in an open, portable knowledge base.
- Conformance Checker. Detailed XML & HTML reports are generated by the conformance checker to identify features that do not conform
to the rules.
Discovery Package
The discovery package allows analysis of a data source to discover patterns within the data. It applies statistical techniques to deduce a plausible set of rules to which the data appears to conform. Discovery - or spatial data mining - is an important part of building a spatial knowledge base. Combined with information from published specifications and knowledge from specific individuals, it can help to identify gaps within the rule set.
Fix-up and Reporting Package
This package allows users to define custom actions to automate the process of fixing non-conforming data, or to produce detailed reports on the structure of the data. Radius Studio provides built-in functions and algorithms that can be used to build fix-up or reporting actions via a user interface without the need for software development skills. Actions may make use of a large number of geometric and non-geometric built-in functions and aggregate values. Once the action has been defined it can either be applied to all nonconforming objects, by mapping the action onto a rule, or it can be applied to all the data, optionally restricted to a specified region.
- Cleaning - Removes geometric errors such as spikes and duplicate vertices
- Conflation - Modifies or creates new features based on their relationships with other features
- Simplification - Performs geometric filtering to reduce the size or complexity of features
- Reporting - Provides the capability to report on data values
Java Extensibility Package
The extensibility package provides a Java interface to allow users to create bespoke routines, which will extend the following sections of Radius Studio:
- Built-in Functions - Additional functions which can be applied to feature attributes for use in the rule and action builder
- Data Stores - Implement new data stores for non-standard data sources
Web Services API
Radius Studio has a full SOAP compliant interface. This allows usage of Radius Studio to perform rule assertion within an enterprise spatial data environment, enabling the inclusion of spatial data within Business Intelligence initiatives.
Feature Data Objects (FDO) Component
This is an add-on component that provides the capability to assess the quality of geospatial data held in a variety of different vector formats. Feature Data Objects (FDO) is an open-source component for manipulating, defining, and analyzing geospatial information regardless of where it is stored. FDO uses a provider-based model for supporting a variety of geospatial data sources, where each provider typically supports a particular data format or data store. Initial formats supported (read only) are: WFS, ESRI Shapefile, SDF and OGR (MapInfo TAB and MIF/MID).
Grid Nodes
Radius Studio is able to scale linearly over multiple processors and machines to provide higher throughput of data processing. Processing gains are made either by running separate sessions on separate processors, or by automatically splitting sessions into multiple spatial partitions that can run in parallel on different processors. A single processor or machine is defined as a Grid Node.